ISSCM 491 Statistics for managers Excel PHstat

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timer Asked: Jan 27th, 2019
account_balance_wallet $60

Question Description

My Occupational group is Group # 3 Admin Support

- everything else should be pretty straight forward in the excel spreadsheet it shows and tells you exactly what to do. - the file for this assignment is hw7.xlsx

Also the Survey Data ISSCM491 file is attached as (if needed) to look at this for this homework assignment (if it is) mentioned inside hw7.xlsx

Townes.HW1.xlsx will show you the The Correct way on how to answer and submit this assignment, so you could take a look at that to help how to format to answer the questions.


Homework 7 (This homework has four questions) Note: The answers to all questions should be provided (written down). Do not show them on the computer output. Question 1. You are interested in determining the relationship between the employee INCOME (Y), and of the years of WORK (X1), years of EDUCation (X2) and GENDER (X3) (male or female) for the employees in your occupational group. (You will be using the file that you have created for your occupational group as part of homework 1). You can use PHStat output to answer these questions. Suppose you wanted to use all three variables (X1= years of WORK, X2= EDUCation and X3=GENDER) as the independent variables to predict the INCOME of the employees in your occupational group. (a) Using the method of least squares, determine the equation for the estimated regression line Y = b0 + b1X1 + b2X2 + b3X3 (b) State the meaning of the slope b3 for the GENDER of the employees. (c) Using the estimated multiple regression equation, calculate the predicted INCOME of a FEMALE employee with 20 years of WORK experience and 14 years of EDUCation. (d) If you had used the average INCOME as your estimate, what would be the total sum of squared errors (SST)? (e) If you use multiple regression prediction values as your estimate for employee INCOMES, what would be the squared errors - error sum of squares (SSE)? (f) How much of the total variation is explained by the years of WORK, EDUCation, and GENDER (SSR)? (g) What percentage of the total variation in employee INCOMES is explained by the years of WORK, EDUCATION, and GENDER (r2Y.123)? (h) Construct 95% confidence interval for the mean INCOME of the MALE employees with 20 years WORK experience and 14 years of EDUCation. (i) In testing Ho that b3=0 against the two sided alternative, should the Null hypothesis be rejected or accepted at a sinficance level of 0.05? What does it mean to reject the Null hypothesis (b3=0) in this case? (j) Based on the hypothesis testing result of (i) above, does the GENDER have a significant effect on the INCOME of the employees in your occupational group? (k) Now, compare your conclusion in (j) above with the conclusion you had in your answer to Question #6 of homework 3. Are your answers consistent? Page 1 of 6 (Homework 7) Important: PHStat REGRESSION procedure, when CIE & PIE is selected, sometimes fails to work. If that happens, do the following: (a) Open a new file and copy your data into this new file (b) Repeat PHStat --> Multiple-Sample Test --> One-Way ANOVA (c) If the same problem continues (i) Close and restart your computer (ii) Open a new file and copy your data to this new file (iii) Repeat PHStat --> Multiple-Sample Test --> One-Way ANOVA Question 2. The marketing manager of StarDisk company wanted to study the effect of price on the demand for their 1GB USB Flash drives. The company has selected a sample of 11 stores with equal sales potential each, and used different weekly prices/promotions in each store. The prices charged (X) and the weekly demand (Y) for the flash drives in these stores are given below: 1 2 3 4 5 6 7 8 9 10 11 (a) (b) (c) (d) (e) (f) (g) (h) (i) (j) (k) (l) Y 287 288 290 295 300 300 300 299 297 296 295 X 7,5 8,0 8,5 9,0 9,5 10,0 10,5 11,0 11,5 12,0 12,5 Y = Demand X = Price Determine the equation for the estimated regression line Y = b0 + b1X1 (Call this Model 1) State the meaning of the slope b1 for the PRICE. Is PRICE a significant factor in determining the sales? Use a significance level (a) of 0.05? What percentage of the total variation in SALES is explained by the PRICE (What is r2)? Construct 95% confidence interval for the mean SALES of the 1 GB Flasdrives when the price is $10. Develop a regression model that includes price (X), and the squard prices (X2) to predict Y = b0 + b1X1 + b2X12 to predict the weekly sales. Determine the equation for the estimated regression line. (Call this Model 2) (Note that you need to create a new column that will have the square prices. That coulmn will be the second X variable in the table) Is squared prices (X12) a significant factor in determining the sales? Use a significance level (a) of 0.05? Predict the weekly sales for the 1GB Flashdrive for a price of $10 by using Model 2. Using Model 2, construct 95% confidence interval for the mean SALES of the 1 GB USB Flash drives when the price is $10. What percentage of the total variation in SALES is explained by the PRICE and Squared PRICES (What is r2 equal to?) Which regression model is more appropriate, Model 1 or Model 2? Why? What price do you suggest the company charge for 1 GB USB Flash drives? Why? Page 2 of 6 (Homework 7) Question 3. Note this his problem was covered in homework 3 and in Example 1 of class 4. The CFO of a Healthcare organization wanted to examine whether two of the hospitals (Hospitals A and B) operated by the organization differed on the average cost per case. The financial manager has randomly taken a random sample of 6 cases from hospital A and hospital B and assigned the following costs to each discharge. Cases 1 2 3 4 5 6 Hospital A Hospital B 4,5 2,0 5,0 6,0 5,5 4,0 3,5 3,5 6,5 4,5 5,0 4,0 We have already shown in class that this problem could be solved by using (a) Hypothesis testing for the difference between two means (b) One-Way Analysis of Variance Your job is to check if regression analysis can also be used to answer this question. For regression purposes, the observations can be (re)stated as follows: Cost 4,5 5,0 5,5 3,5 6,5 5,0 2,0 6,0 4,0 3,5 4,5 4,0 Hospital A A A A A A B B B B B B First, you need to assign dummy variables for hospitals (0=Hospital A, 1=Hospital B) to use regression to predict the costs. (a) Determine the equation for the estimated regression line Y = b0 + b1X1, where X1 is a dummy variable used for the hospitals. (b) State the meaning of the slope b1 for the dummy variable (used for hospitals). (c) Is the coefficient b1 significant at significance level (a) of 0.05? What is the P-Value associated with it? (d) Using your answer to (c) above, answer the following question: Is there strong evidence to show that there is a significant cost difference in the average costs between hospitals A and B? (e) Is this answer consistent with the answers we have when obtained by using hypothesis testing and ANOVA approaches covered in Class 4? Page 3 of 6 (Homework 7) =3.80-3.85 = -0.05 Question 4. (This is a nonlinear regression question) Enterprise Industries produces Fresh, a brand of liquid laundry detergent. In order to more effectively manage its inventory, the company would like to better predict demand for Fresh. To develop a prediction model, the company has gathered data concerning demand for Fresh over the last 30 sales periods (each sales period is considered to be a four-week period). The demand data are given in Table 1 with the following variables: Variables: Y the demand for large size bottle of Fresh (in hundreds of thousands of bottles) in the sales period X1 The price (in dollars) of Fresh as offered by Enterprise Industries in the sales period X2 The average industry price (in dollars) of competitors' similar detergents in the sales period X3 Enterprise Industries' advertising expenditure (in hundreds of thousands of dollars) to promote Fresh in the sales period The Enterprise Industries believes on theoretical grounds that the single independent variable X4 = X2-X1 (The "price difference" in the sales period) adequately describes the effects of X1 and X2 on Y. That is, perhaps demand for Fresh depends more on how the price for Fresh compares to competitors' price than it does on the absolute levels of the prices for Fresh and other competing detergents. This makes sense since most consumers must buy a certain amount of detergent no matter what the price might be. First, you need to complete column X4 in the Table 1. I have completed the first two rows. Questions: (1) Answer the following questions by using model Y = b0 + b1X4 + b2X3 (a) What is the estimated regression equation? (b) Interpret the slopes of b1 and b2. (c) Do the p-values for the independent variables in this model indicate that these independent variables (X4, X3) are significant? (d) What percent of the total variation in observed demands is explained by this model? (What is r2 equal to?) (2) Consider the demand for Fresh Detergent in the future sales period when Enterprise Industries' price for Fresh will be X1 = 3.70, Table 1 FRESH DETERGENT DATA Price X1 3,85 3,75 3,70 3,70 3,60 3,60 3,60 3,80 3,80 3,85 3,90 3,90 3,70 3,75 3,75 3,80 3,70 3,80 3,70 3,80 3,80 3,75 3,70 3,55 3,60 3,65 3,70 3,75 3,80 3,70 IndPrice Demand X2 Y 3,80 7,38 4,00 8,51 4,30 9,52 3,70 7,50 3,85 9,33 3,80 8,28 3,75 8,75 3,85 7,87 3,65 7,10 4,00 8,00 4,10 7,89 4,00 8,15 4,10 9,10 4,20 8,86 4,10 8,90 4,10 8,87 4,20 9,26 4,30 9,00 4,10 8,75 3,75 7,95 3,75 7,65 3,65 7,27 3,90 8,00 3,65 8,50 4,10 8,75 4,25 9,21 3,65 8,27 3,75 7,67 3,85 7,93 4,25 9,26 X2-X1 X4 -0,05 0,25 AdvExp X3 5,50 6,75 7,25 5,50 7,00 6,50 6,75 5,25 5,25 6,00 6,50 6,25 7,00 6,90 6,80 6,80 7,10 7,00 6,80 6,50 6,25 6,00 6,50 7,00 6,80 6,80 6,50 5,75 5,80 6,80 of competitors' similar detergent will be X2 = 3.90 and Enterprise the average price Industries' advertising expenditure for Fresh will be X3 = 6.50. (a) What is the point prediction of this demand? (b) Identify the 95 percent confidence interval estimation for the avergae demand. Page 4 of 6 (Homework 8) USING PHStat TO OBTAIN SIMPLE REGRESSION Choose the following: Check ANOVA and Coefficients Tables PHStat ---> Regression ---> Simple Linear Regression… ---> Output (Fill out the window as shown below) Data X Value Confidence Level 1.652,96 95% Intermediate Calculations Sample Size 70 Degrees of Freedom 68 t Value 1,9955 XBar, Sample Mean of X 214,9286 Sum of Squared Differences from 7.606.537 XBar Standard Error of the Estimate 15,9436 h Statistic 0,0143 Predicted Y (YHat) 214,929 17 For Average Y Interval Half Width 3,803 Confidence Interval Lower Limit 211,126 Confidence Interval Upper Limit 218,731 18a For Individual Response Y Interval Half Width 32,041 Prediction Interval Lower Limit 182,887 Prediction Interval Upper Limit 246,970 Regression Statistics Multiple R 0,8617 R Square 0,7425 Adjusted R Square 0,7388 Standard Error 15,9436 Observations 70 18b 15 16 14cba ANOVA Regression Residual Total Intercept AREA df 1 68 69 Coefficients 81,110 0,081 11 SS 49.853,253 17.285,390 67.138,643 Standard Error 9,744 0,006 MS 49.853,253 254,197 F 196,121 Signif F 0,00000 t Stat 8,324 14,004 P-value 0,00000 0,00000 Lower 95% 19a 61,67 0,07 Upper 95% 100,55 0,09 19b USING PHStat TO OBTAIN MULTIPLE LINEAR REGRESSION Choose the following: PHStat ---> Regression ---> Multiple Regression… ---> Check ANOVA and Coefficients Tables (Fill out the window as shown below) Confidence Interval Estimate and Prediction Interval Example 1-2 Data Confidence Level AREA given value ASSESS given value 0,95 1 1.652,96 137,60 Enter these Predicted Y (YHat) 214,906 27 For Average Predicted Y (YHat) Interval Half Width 3,193 Confidence Interval Lower Limit 211,714 Confidence Interval Upper Limit 218,099 For Individual Response Y Interval Half Width 26,901 Prediction Interval Lower Limit 188,005 Prediction Interval Upper Limit 241,807 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 28a 28b Example 1-2 0,9063 0,8213 0,8160 13,3820 70 25 26 24cba ANOVA df 2 67 69 Regression Residual Total Intercept AREA ASSESS Coefficients 53,5824 0,0646 0,3961 21 SS 55.140,48 11.998,17 67.138,64 Stand Error 9,6202 0,0057 0,0729 MS 27.570,24 179,077 t Stat 5,5698 11,3225 5,4337 F 153,9574 Significance F P-value 0,0000 0,0000 0,0000 Lower 99% Upper 99% 28,0771 79,0877 0,0495 0,0798 0,2028 0,5893 29a 0,0000 29b nter ese
Homework 1 Note that each student will prepare and submit the homework assignments individually. It is important that you complete this first assignment since the remaining assignments will be using the work on this assignment. You will be using MS Excel or PHStat software. It is acceptable, if you prefer to use another software for the study. Please let me know if you need help with the use of Excel. You will be using the survey data given in ISSCM491 file for most of the homework problems. These 800 employees have different occupations. The categorical variables used for occupation are 0. Managerial 1. Professional 2. Production 3. Admin. Support 4. Laborer 5. Finance 6. Corporate 8. Information Systems 9. Technical 10. Service You will be working with the survey data of a specific occupation. The occupational group data that you will be working is provided on the Announcements page of the course web site. For all the questions during this quarter, the term Occupational Group refers to the occupational group that you will be working. The survey data (file ISSCM491.xlsx) can be downloaded from the Assignments page of the course website. The Excel file ISSCM491.xlsx has the following three worksheets Includes the survey information (questions). Has the survey data as observed. Has the same survey data sorted according to the occupational groups. (This sorted data will be helpful to obtain the sample values of your occupational group). Questions Part I: 1. Extract the employees of your group and save them with a meaningful file name such as manag.xls, profe.xls, prod.xls etc. 2. Calculate the Descriptive Statistics for INCOME, Years WORKed and EDUCation for your Group. 3. Find the frequency distribution and Histogram for the INCOME of your Group (See next page for using the Descriptive Statistics and Histogram options of MS Excel). (a) Calculate the Descriptive Statistics for INCOME, Years WORKed and EDUCation for FEMALE employees in your Group. (b) Calculate the Descriptive Statistics for INCOME, Years WORKed and EDUCation for MALE employees in your Group. 5. Select a random sample of 16 employees from this 800 observations. (Note that this sample will be randomly selected from the whole 800 sample survey results, not from the group you are working with). (a) Explain how you have selected your sample to ensure that it is a random sample. (b) What is the average (mean) AGE of the employees in your sample? 4. Questions Part II: (These are general questions that do not use the sample survey data. Your are asked to identify the population and suggest a sample selection for each case). 6. You would like to know, if there is a convincing evidence that newborns from mothers who smoke have a different average birth weight than newborns from mothers who don't smoke? (a) What is the population for this study? (b) How do you select the sample for this study? 7. Suppose a pharmaceutical company had developed a new drug for lowering blood pressure, and they are preparing a clinical trial (experiment) to test the drug's effectiveness. (a) What is the population in this study? (b) How do you proceed with this study? i.e., How do you collect the sample for this study? Submit the file containing your answers to questions (1), (2), (3), (4), (5), (6) and (7) electronically on the course website on Sakai. Please write your name and your Occupational Group number on the first page of your submission. Page 1 of 3 (Homework 1) USING PHStat to calculate DECSRIPTIVE STATISTICS PHStat--> Descritive Statistisc --> Descriptive Summary --> Page 2 Page 2 of 3 (Homework 1) To calculate Descriptive Statistics Using Excel Step 1 Step 2 Select Data pane Click Data Analysis … Page 3 (Data analysis dialog window will open) If Data Analysis… is not available on your tools menu, then the Analysis Toolpack has not been installed in your system. See the FAQ on the course website. Step 3 Choose Descriptive Statistics by clicking it once and then clicking the OK button (The Descriptive Statistics dialog window will open. Provide the necessary information as shown below) Step 4 Click the OK button. A new worksheet will be created with the results. To construct a Histogram and Frequency Distribution Using Excel Step 1 Step 2 Step 3 Select Data pane Click Data Analysis … (Data analysis dialog window will open) Select Histogram option and click the OK button (Next you will get the Histogram window. Provide the necessary information as shown below). Step 4 Click the OK button. A new worksheet will be created with the results. Page 3 of 3 (Homework 1) QUESTION 1 1 2 3 4 5 6 7 8 9 ID_No OCCUP Resp INCOME Years WORKed EDUC GENDER AGE Work HRS No EARN 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 35.2 25.8 34.3 34.1 29.3 31.7 30.6 29.7 37.1 27.8 33.1 29.3 26.7 25.9 35.8 30.0 26.2 44.6 32.7 30.0 29.7 30.5 28.9 23.2 48.7 24.4 23.4 25.3 25.5 72.8 27.8 25.4 25.0 50.7 27.1 27.7 25.3 28.1 15 20 7 33 10 15 20 27 21 20 25 8 20 9 45 15 10 10 13 25 15 20 12 22 8 6 26 17 21 19 10 15 11 24 15 20 3 22 12 14 12 14 13 12 14 12 13 12 16 12 12 12 12 12 12 16 15 13 12 12 12 12 12 16 12 13 14 12 15 14 12 18 13 13 12 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 33 50 24 50 26 53 52 43 39 40 42 28 37 35 63 42 35 27 29 61 32 55 29 38 32 29 42 38 47 36 27 37 32 44 41 40 20 65 50 40 49 42 40 40 40 40 36 45 36 50 40 43 35 40 40 40 42 40 40 40 32 40 40 40 40 35 60 40 45 40 40 40 40 45 40 40 1 1 2 3 1 1 1 2 3 1 1 1 2 1 1 2 2 2 2 1 2 1 2 2 1 3 1 1 3 1 1 1 2 2 2 3 2 1 2 14 21 31 50 77 94 98 99 100 108 110 112 113 114 126 137 140 150 163 166 176 187 198 200 212 213 218 220 236 249 250 252 269 280 300 307 312 350 359 360 390 400 450 500 550 600 650 700 750 800 19 29 40 58 82 109 115 134 207 222 233 254 315 385 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 32.5 25.0 34.2 31.9 25.5 46.1 28.1 25.6 37.3 24.2 33.2 20.3 26.8 43.1 24.7 25.4 32.5 27.9 36.8 33.9 60.5 26.3 55.8 29.3 62.7 56.6 29.3 Total 2134.90 Average 32.84 25 6 30 21 34 36 4 24 20 20 37 20 27 7 15 16 10 17 18 10 20 24 24 16 31 32 18 12 12 12 12 12 16 14 14 12 17 13 13 12 16 16 12 12 14 13 13 16 12 12 9 14 12 12 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 61 23 55 31 56 56 30 42 38 38 58 57 69 25 35 32 27 27 37 29 37 41 41 33 48 48 35 40 44 50 47 40 40 48 37 40 37 32 32 29 40 40 40 40 40 40 41 50 72 45 56 80 40 40 1 2 2 3 2 1 2 1 4 1 1 2 1 1 2 1 3 2 4 2 2 1 1 1 2 4 2 1216.00 18.71 851.00 13.09 14.00 0.22 2602.00 40.03 2745.00 42.23 113.00 1.74 Marques Townes Occup = 3 10 11 12 13 14 15 16 Fam Inc Job Sat Job Char Get Ahead Traumat Events Employ Years Number Prom 25.2 17.4 27.4 69.6 19.6 35.7 47.3 57.8 31.2 17.8 34.2 19.3 26.5 15.9 38.7 23.0 43.4 69.3 43.1 20.0 38.9 20.5 21.9 16.7 38.7 28.3 29.7 15.3 68.7 63.4 17.8 15.4 25.4 49.2 32.4 31.4 27.1 18.2 1 3 3 2 2 2 2 1 2 1 4 2 2 1 1 1 2 1 2 1 2 2 1 2 2 3 1 1 4 1 1 1 2 3 2 2 1 1 1 1 4 5 3 5 5 5 5 1 5 1 1 5 2 2 1 5 2 1 5 1 5 5 1 1 4 5 5 4 5 1 3 1 5 5 4 5 2 1 2 1 1 2 1 1 1 1 2 1 1 1 3 3 1 1 3 2 1 2 1 1 1 1 1 1 3 1 3 1 1 2 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 4 10 5 3.5 4 12.5 3 9.41 16 0.5 12 3 10 1.5 22 7.08 2.5 5 4.33 18.33 11.58 15 3 1 6 3 1.08 4 1 2.16 2 15 10 22 4 7 1.5 13 3 0 1 1 5 1 1 1 0 0 1 0 0 1 1 0 3 4 0 0 3 2 1 0 0 0 1 1 0 0 0 3 0 0 0 1 0 1 Bins 15.0 25.0 35.0 45.0 55.0 65.0 75.0 22.5 37.3 27.9 40.2 44.5 36.9 41.8 16.4 72.6 49.2 23.2 42.5 16.8 33.1 46.9 15.4 32.5 46.5 34.0 43.0 59.2 16.3 49.4 23.2 56.1 71.0 45.0 1 3 2 1 2 1 2 4 1 2 2 2 1 4 2 1 1 2 3 2 2 1 1 1 4 1 2 5 2 1 1 5 1 1 1 4 5 5 1 5 5 5 1 5 5 4 4 5 5 5 4 1 5 1 3 1 2 1 1 1 2 2 1 1 2 2 1 3 2 2 1 1 1 3 1 3 1 1 3 1 1 0 0 0 0 0 0 1 0 0 0 1 1 0 0 3 0 0 2 0 0 0 1 0 0 0 0 0 17 2.5 30 10 21 30 1 2 10.5 5 5 3 25 1 0.75 0.16 5 0.5 16 3 8.5 18 8 4.5 9 25 8 1 0 3 0 0 3 1 0 4 0 0 0 3 1 2 0 0 0 0 2 2 0 4 0 1 1 0 2284.80 35.15 119.00 1.83 217.00 3.34 99.00 1.52 13.00 0.20 545.38 8.39 64.00 0.98 MidPoints 20 30 40 50 60 70 Question 2 Answer Using Excel --> Data --> Data Analysis --> Descriptive Statistics INCOME Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count Years WORKed 32.84461538 1.299195444 29.3 29.3 10.47444854 109.7140721 3.773770959 1.959863291 52.5 20.3 72.8 2134.9 65 Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count EDUC 18.70769 1.072767 20 20 8.648922 74.80385 0.355163 0.536996 42 3 45 1216 65 Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count 13.09231 0.201822 12 12 1.627144 2.647596 0.951554 0.969298 9 9 18 851 65 Question 3 Answer Using Excel --> Data --> Data Analysis --> Histogram Histogram 40 30 20 10 0 Frequency 15.0 20.0 25.0 30.0 35.0 40.0 45.0 50.0 55.0 60.0 65.0 70.0 75.0 More Frequency Bin Frequency 15.0 0 20.0 0 25.0 6 30.0 31 35.0 13 40.0 5 45.0 2 50.0 2 55.0 1 60.0 2 65.0 2 70.0 0 75.0 1 More 0 Bin Question 4(a) Descriptive Statistics for Female (0) Answer Using Excel --> Data --> Data Analysis --> Descriptive Statistics INCOME Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count Years WORKed 31.17843 1.220168 29.3 29.3 8.713743 75.92933 9.976643 2.70447 52.5 20.3 72.8 1590.1 51 Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count EDUC 18.78431 1.265008 20 20 9.033966 81.61255 0.364075 0.540109 42 3 45 958 51 Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count 13.09804 0.215579 12 12 1.539544 2.370196 1.47951 1.472344 6 12 18 668 51 Question 4(b) Descriptive Statistics for Male (1) Answer Using Excel --> Data --> Data Analysis --> Descriptive Statistics INCOME Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count Years WORKed 38.91429 3.756224 33.2 29.3 14.0545 197.529 -1.17405 0.745903 38 24.7 62.7 544.8 14 Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count EDUC 18.42857 1.968751 17.5 16 7.366392 54.26374 -0.17531 0.465619 25 7 32 258 14 Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count 13.07143 0.528987 12.5 12 1.979288 3.917582 0.184634 0.024092 7 9 16 183 14 QUESTION 5 Sample # 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 474 8 29.3 10 13 0 426 6 33.7 25 16 0 1 4 35.7 25 14 0 666 7 41.9 34 16 1 196 11 69.3 30 16 1 128 4 47.3 10 14 1 383 4 32.6 32 10 1 764 6 38.0 26 18 1 96 11 50.8 35 12 1 180 1 50.1 25 15 1 634 9 21.1 4 12 0 18 0 36.6 43 16 1 587 8 28.9 12 12 0 375 4 27.6 8 12 1 663 9 31.4 22 12 1 284 11 30.8 9 14 1 AGE 26 42 64 51 47 27 47 43 52 41 21 59 29 25 41 26 Work HRS 40 40 30 40 50 65 40 56 40 50 55 40 32 63 45 40 5a) To ensure that the chosen samples are random, the ID number of the employees which range from 1 to 800 is generated by using the function RANDBETWEEN(1, 800). Through this, Excel will automatically generate random from 1 to 800 (inclusive).Through this, it can be assured that there is no bias in choosing the samples. In order to changing (random numbers always change), the generated numbers were copied and pasted (Paste Special QUESTION 5(b) Sample # 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 474 8 29.3 10 13 0 426 6 33.7 25 16 0 1 4 35.7 25 14 0 666 7 41.9 34 16 1 196 11 69.3 30 16 1 128 4 47.3 10 14 1 383 4 32.6 32 10 1 764 6 38.0 26 18 1 96 11 50.8 35 12 1 180 1 50.1 25 15 1 634 9 21.1 4 12 0 18 0 36.6 43 16 1 587 8 28.9 12 12 0 375 4 27.6 8 12 1 663 9 31.4 22 12 1 284 11 30.8 9 14 1 AGE 26 42 64 51 47 27 47 43 52 41 21 59 29 25 41 26 Work HRS 40 40 30 40 50 65 40 56 40 50 55 40 32 63 45 40 AVERAGE 37.8 5b) The average age of the sample is 40.1 21.9 13.9 0.7 40.1 45.4 No EARN 1 3 2 1 4 2 2 2 2 3 4 1 2 2 1 1 Fam Inc 19.6 51.2 81.9 33.5 89.2 39.7 47.5 36.7 96.2 45.1 35.7 35.4 21.9 30.8 21.4 20.8 Job Sat 2 1 1 2 1 2 1 3 3 2 1 2 1 1 1 1 Job Char 3 1 3 5 5 1 5 1 5 4 5 5 5 1 1 4 Get Ahead 1 1 2 3 1 1 1 1 1 1 1 1 1 1 1 2 Traumat Employ Events Years 0 4 1 5.5 0 11 0 6 0 23.58 1 2 0 10 0 5.5 1 0.08 0 6 0 2 1 1.5 0 3 0 4 0 0.25 0 1.5 Num Prom 5 0 0 1 3 0 1 0 0 2 0 1 1 1 0 1 Job Sat 2 1 1 2 1 2 1 3 3 2 1 2 1 1 1 1 Job Char 3 1 3 5 5 1 5 1 5 4 5 5 5 1 1 4 Get Ahead 1 1 2 3 1 1 1 1 1 1 1 1 1 1 1 2 Traumat Employ Events Years 0 4 1 5.5 0 11 0 6 0 23.58 1 2 0 10 0 5.5 1 0.08 0 6 0 2 1 1.5 0 3 0 4 0 0.25 0 1.5 Num Prom 5 0 0 1 3 0 1 0 0 2 0 1 1 1 0 1 h range from 1 to 800 is ically generate random numbers e samples. In order to stop it from ed (Paste Special -> Values). No EARN 1 3 2 1 4 2 2 2 2 3 4 1 2 2 1 1 Fam Inc 19.6 51.2 81.9 33.5 89.2 39.7 47.5 36.7 96.2 45.1 35.7 35.4 21.9 30.8 21.4 20.8 2.1 44.2 1.6 3.4 1.3 0.3 5.4 1.0 6a) There are two populations of concern in this study. The first population is all the mothers who smoke and the second population is all the mothers who do not smoke. 6b) A good sample of this study is a random sample of mothers who are found in the same area and who are of the same ethnicity. This way, there will be a lesser bias with the weight of the newborn babies since other factors that may affect weight are excluded. weight of 7a) The population of this study would be all patients that have high blood pressure. 7b) In order to proceed with the study, the subjects have to be chosen. The only possible humane way of doing this is through human volunteers. In most cases, there are volunteers who agree to do this because they gain access to new research treatments before these treatments become widely available. Also, these volunteers can actually help others by being able to contribute to medical research. Upon doing this, there is a need to secure a written "informed consent" of these volunteers regarding the risks and benefits of the clinical trial. ble humane way of doing this because they gain Also, these volunteers can here is a need to secure a linical trial.
Employee Satisfaction Survey Page A0 Gemini Healthcare (GH) is a not-for-profit, academic health system. GH is affiliated with the Medical School of the local university. The GH system includes three hospitals—American, Badger, and County Hospital. American Hospital with 400 beds is the major hospital of Gemini Healthcare. Badger Hospital is a 150-bed facility. County Hospital with 250 beds has provided high-quality healthcare for more than 30 years. Gemini Healthcare employs 10,000 people in its facilities. As part of its movement to implement a Total Quality Management (TQM) philosophy and to improve the productivity, the management of Gemini Healthcare wants to develop an employee profile that will measure job satisfaction. The company hires L&B Corporation, a management consulting firm, to survey Gemini employees. After careful consideration, the Human Resources department and a statistician from the L&B Corporation determine that a survey will be sufficient to obtain the information. Given below is the list of the 16 questions used in the survey. The Vice-President of the Human Resources and the statistician decided that a sample size of 800 would be sufficient to obtain a confident result. The responses of the 800 full-time employees who have participated in the survey are given on Pages A1-A12. Survey Questions: 1 Identification number 2 What is your occupation? 0. Managerial 1. Professional 2. Production 3. Admin. Support 4. Laborer 5. Finance 6. Corporate 7. Sales 8. Information Systems 9. Technical 10. Service 3 4 5 6 What was your "before tax" income last year? How many years you have worked full time (since you were 16)? How many years of school you have completed? What is your gender? (0=Female, 1=Male) 7 8 9 10 11 What is your age (as of last birthday)? How many hours did you work last week? Among family members, how many were employed last year? What was your "before tax" total family income last year? On the whole, how satisfied are you with your job? (1=Very Satisfied, 2=Moderately Satisfied, 3= A Little Satisfied, 4=Very Dissatisfied) 12 Which one of the following characteristics is most important to you? (1=High Income, 2=No Danger of Being Fired, 3=Flexible Hours, 4=Opportunities for Advancement, 5= Enjoying the Work) 13 Which one of the following is the way most people get ahead on the job? (1=Hard Work, 2=Hard Work and Luck, 3=Luck) 14 How many traumatic events did you experienced last year? 15 How many years altogether you have worked for your present employer? MY OCCUPATION IS #3 ADMI Page A3 Employee Satisfaction Survey Results (SORTED by OCCUPATION) 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 1 4 35.7 25 14 0 2 3 35.2 15 12 0 3 0 88.3 14 20 1 4 0 50.5 12 15 1 5 11 30.2 3 14 1 6 11 45.7 40 14 1 7 11 30.0 10 14 0 8 2 28.0 10 13 0 9 1 70.8 15 18 1 10 0 48.4 15 16 1 11 1 41.0 13 12 0 12 2 86.6 30 13 1 13 11 43.3 12 12 0 14 3 25.8 20 14 0 15 4 37.5 31 4 1 16 11 64.2 23 16 1 17 11 42.0 20 12 0 18 0 36.6 43 16 1 19 3 43.1 7 16 1 20 4 20.5 3 11 1 21 3 34.3 7 12 0 22 2 43.3 17 10 1 23 11 43.8 14 16 1 24 11 45.7 20 13 0 25 5 54.7 13 16 0 26 1 33.7 25 16 0 27 11 66.4 27 13 1 28 2 52.7 18 15 1 29 3 24.7 15 16 1 30 0 41.3 18 12 0 31 3 34.1 33 14 0 32 11 40.3 15 12 0 33 11 55.2 24 13 1 34 1 27.9 9 16 0 35 11 30.4 11 17 0 36 2 36.3 23 13 1 37 1 31.6 12 16 0 38 0 58.7 19 19 1 39 11 28.4 23 15 1 40 3 25.4 16 12 1 41 0 63.7 42 14 1 42 1 27.0 7 16 0 43 4 21.5 1 12 1 44 1 27.7 14 16 0 45 11 21.8 18 9 0 46 0 85.6 23 18 1 47 1 37.6 9 18 1 48 0 42.8 22 17 0 49 11 26.6 3 14 0 50 3 29.3 10 13 0 51 0 60.1 20 17 0 52 1 46.3 7 19 1 53 0 40.3 16 18 1 54 11 51.5 12 12 1 55 1 39.8 23 17 0 56 0 42.2 2 16 1 57 11 50.2 14 16 0 58 3 32.5 10 12 1 59 0 30.1 18 17 1 60 11 31.6 4 9 0 61 0 60.6 36 16 1 62 0 32.5 23 13 0 63 2 66.7 27 14 1 64 0 25.5 5 11 0 65 2 27.0 13 10 0 66 4 26.5 27 12 1 67 0 53.3 18 15 1 7 AGE 64 33 35 33 23 60 37 25 39 35 35 49 34 50 49 39 61 59 25 20 24 33 30 37 26 42 43 35 35 34 50 34 41 44 27 40 33 38 41 32 58 28 18 33 34 39 31 48 21 26 29 33 36 28 40 25 39 27 40 27 53 39 47 27 40 27 35 8 Work HRS 30 50 50 40 40 40 40 40 50 30 32 55 40 40 40 40 40 40 40 50 49 30 55 64 40 40 50 40 40 48 42 50 45 40 40 40 32 50 89 40 48 40 45 40 38 40 40 40 40 40 40 45 32 62 40 40 40 40 40 40 50 46 72 40 40 30 50 9 No EARN 2 1 2 2 1 1 1 3 1 1 1 2 2 1 1 2 1 1 1 2 2 2 1 1 2 3 4 2 2 2 3 4 2 3 2 3 2 2 1 1 2 1 5 1 3 1 1 1 2 1 1 1 2 2 1 2 1 3 2 3 3 2 1 2 2 1 1 10 Fam Inc 81.9 25.2 85.3 85.6 20.2 35.7 15.0 49.5 60.8 38.4 33.5 93.5 55.2 17.4 27.6 67.2 34.6 35.4 33.1 14.3 27.4 42.8 33.8 35.7 65.3 51.2 91.8 51.8 46.9 67.7 69.6 34.2 18.5 34.2 36.2 29.9 46.6 68.0 19.2 15.4 56.5 20.0 55.5 19.3 43.7 91.8 29.4 33.5 60.7 19.6 50.1 37.4 71.3 47.1 44.1 43.2 45.2 32.5 35.1 48.9 75.1 50.3 59.5 30.4 19.3 17.0 43.3 11 Job Sat 1 1 2 2 1 1 2 2 2 2 1 3 2 3 2 1 1 2 4 1 3 3 1 1 1 1 1 1 2 1 2 2 2 1 2 1 1 1 3 1 2 1 3 1 2 1 2 2 2 2 1 2 4 1 4 1 2 1 2 2 2 1 1 4 2 2 1 Page A1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 3 2 0 11 0 1 2 0 4 3 4 1 0 3 0 3 1 0 9 2 1 1 0 1.5 0 1 1 0 20 0 1 2 0 1.5 0 5 3 1 1.5 0 5 1 0 5 0 1 2 0 3 2 1 1 0 1.5 0 1 1 0 5 0 1 1 0 6 1 1 1 0 10 0 3 2 1 22.08 0 5 1 0 0.5 0 1 1 0 0.75 0 5 1 1 1.5 1 5 3 0 1 1 1 1 0 1 3 4 2 0 5 1 5 1 0 5 0 5 1 0 5 1 5 1 1 3 0 4 1 0 3.5 1 1 1 1 5.5 0 4 1 0 12 2 5 1 0 0.5 0 5 2 3 0.75 2 3 1 0 3 0 5 1 0 3.5 1 3 3 1 8 2 1 1 0 2 0 1 3 0 5.5 0 5 1 0 7 0 1 1 0 10 1 5 3 0 2.58 0 4 1 0 15 4 1 1 0 1 0 1 2 0 0.16 0 4 3 0 36 4 5 1 0 12.33 1 1 1 0 1 0 5 2 0 3 0 1 1 0 1.5 1 5 2 1 3 0 5 1 0 4 0 5 1 0 6 2 5 1 0 0.66 0 3 1 0 4 5 5 1 0 16 0 5 1 0 4 1 5 2 0 4.08 1 4 2 0 5 3 5 3 0 4.5 0 4 1 0 2 0 5 1 0 2 1 5 1 0 5 0 1 1 0 11.83 4 5 1 0 4 0 1 3 0 10 0 5 1 0 1 0 1 1 0 5 0 2 2 1 2 2 5 3 0 4 0 5 1 2 0.5 0 1 1 1 10 0 Page A4 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 68 11 32.0 8 16 1 69 4 20.2 34 9 1 70 1 51.3 13 16 1 71 4 64.2 26 12 1 72 1 29.8 12 14 0 73 2 60.0 32 12 1 74 0 54.7 13 16 0 75 0 26.0 6 16 0 76 9 24.6 20 12 0 77 3 31.7 15 12 0 78 0 33.6 11 16 1 79 2 49.0 30 12 1 80 4 40.9 37 14 1 81 2 42.3 11 13 1 82 3 27.9 17 14 1 83 1 49.8 42 15 1 84 1 47.2 19 16 0 85 1 64.6 30 16 1 86 2 28.8 24 14 0 87 4 49.6 8 17 1 88 11 88.0 23 14 1 89 0 35.2 20 12 0 90 1 74.5 21 20 1 91 0 38.6 21 13 0 92 0 71.7 25 16 0 93 0 45.1 12 16 0 94 3 30.6 20 14 0 95 11 23.7 15 12 0 96 11 50.8 35 12 1 97 2 49.2 8 15 1 98 3 29.7 27 12 0 99 3 37.1 21 13 0 100 3 27.8 20 12 0 101 4 24.6 20 12 0 102 11 38.4 17 14 1 103 11 31.1 8 14 1 104 2 25.0 14 12 1 105 1 39.2 18 18 1 106 11 33.0 15 16 1 107 2 30.0 8 10 1 108 3 33.1 25 16 0 109 3 36.8 18 13 1 110 3 29.3 8 12 0 111 11 20.3 6 16 1 112 3 26.7 20 12 0 113 3 25.9 9 12 0 114 3 35.8 45 12 0 115 3 33.9 10 13 1 116 4 28.9 16 14 1 117 2 46.3 10 12 1 118 1 68.0 34 20 0 119 11 40.7 25 15 0 120 1 61.8 27 17 1 121 11 32.1 7 15 1 122 11 42.5 24 12 1 123 0 34.8 14 16 0 124 12 51.5 26 16 0 125 0 38.5 17 12 0 126 3 30.0 15 12 0 127 11 37.1 8 12 1 128 4 47.3 10 14 1 129 4 26.7 20 12 0 130 11 61.8 49 12 1 131 11 32.7 15 14 0 132 2 52.5 27 8 1 133 1 54.4 28 19 1 134 3 60.5 20 16 1 135 11 91.7 36 16 1 136 11 65.3 20 16 1 137 3 26.2 10 12 0 7 AGE 25 53 35 43 33 48 26 23 49 53 29 53 43 30 27 59 36 52 40 29 40 36 38 64 43 28 52 48 52 29 43 39 40 49 34 25 32 39 32 25 42 37 28 23 37 35 63 29 33 26 50 49 44 25 41 44 48 36 42 26 27 48 65 33 44 48 37 52 38 35 8 Work HRS 40 35 40 48 40 40 40 40 40 40 55 40 40 40 40 35 40 40 50 59 40 45 45 43 55 46 40 30 40 50 40 36 45 40 48 50 42 32 40 40 36 40 50 60 40 43 35 41 50 44 40 40 35 31 40 40 45 60 40 40 65 40 40 40 40 55 50 70 60 40 9 No EARN 3 1 1 2 3 3 2 1 4 1 1 2 1 2 2 2 1 2 2 2 2 1 1 1 2 1 1 2 2 1 2 3 1 4 2 1 1 3 1 1 1 4 1 3 2 1 1 2 2 1 2 3 3 2 1 3 1 3 2 1 2 3 4 2 1 4 2 1 2 2 10 Fam Inc 52.3 15.6 41.3 67.9 62.5 54.1 65.3 16.9 82.5 35.7 34.8 43.9 30.9 39.3 46.5 69.0 38.8 56.7 57.4 46.6 92.9 25.9 65.7 35.2 78.8 38.3 47.3 36.1 96.2 63.6 57.8 31.2 17.8 82.5 33.4 29.9 15.0 62.6 23.5 20.0 34.2 34.0 19.3 38.4 26.5 15.9 38.7 43.0 22.4 36.3 98.7 50.8 61.6 39.8 23.4 48.2 42.1 59.0 23.0 38.2 39.7 46.8 68.0 83.3 49.2 66.8 59.2 81.7 59.0 43.4 11 Job Sat 1 1 2 1 2 2 1 1 2 2 2 2 1 2 2 1 2 4 1 1 1 3 1 1 1 2 2 1 3 1 1 2 1 2 1 2 3 1 2 3 4 3 2 2 2 1 1 2 2 2 2 2 2 1 1 1 1 4 1 1 2 2 1 2 2 2 2 1 1 2 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 1 0 2.5 0 5 1 1 5 0 5 1 0 6.41 3 1 1 0 11 2 1 1 1 2 1 4 3 2 21 4 4 1 0 3.5 1 2 1 0 0.75 0 1 1 0 4 0 5 2 0 12.5 1 5 1 0 1 1 5 1 0 0.08 0 5 3 0 2 0 5 1 0 10 2 5 1 2 0.5 0 5 1 0 6 0 4 2 0 12.5 1 5 1 0 21 1 5 3 0 1.5 1 1 2 0 2.83 0 5 1 0 4.33 0 1 1 0 10 1 5 3 0 4 2 4 1 0 7 1 5 1 0 18 2 5 1 0 0.16 0 5 1 0 3 1 5 1 0 1.66 0 5 1 1 0.08 0 4 2 0 1 0 5 1 0 9.41 1 5 1 0 16 0 1 1 0 0.5 0 1 1 0 4 0 5 1 0 10 2 2 1 0 3 0 4 3 0 1 0 3 2 0 2 0 1 1 0 3 3 4 3 0 2 3 5 2 0 12 1 4 1 0 16 0 1 1 0 3 0 1 3 0 1 1 1 1 0 10 0 5 1 0 1.5 1 2 3 0 22 1 4 3 0 3 2 5 2 1 1 0 1 1 0 2.5 0 3 3 0 8 0 5 1 0 3.41 0 5 3 0 22 0 2 1 0 1 1 1 1 0 10.5 1 1 1 0 5 3 4 2 0 4 0 1 1 0 9.5 1 2 3 0 7.08 0 1 3 0 1 0 1 1 1 2 0 5 1 0 9 0 4 1 1 12.41 2 3 3 0 3.75 0 4 3 0 11 1 4 3 0 5.66 0 5 1 0 8.5 2 5 1 0 1 0 5 1 0 2.66 0 1 1 0 2.5 3 Page A5 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 138 0 52.6 12 16 1 139 2 52.3 16 12 1 140 3 44.6 10 16 0 141 4 32.5 6 12 1 142 0 57.1 45 11 1 143 11 49.1 24 13 1 144 4 24.9 9 15 1 145 11 26.0 19 18 0 146 11 43.1 19 16 1 147 0 31.2 20 12 0 148 2 31.7 15 11 1 149 11 35.1 30 10 0 150 3 32.7 13 15 0 151 1 37.0 15 19 0 152 11 26.1 3 10 1 153 2 40.4 14 12 1 154 1 38.6 6 17 1 155 11 35.2 9 14 1 156 11 40.6 15 17 1 157 2 40.9 33 12 1 158 4 45.1 31 12 1 159 4 23.9 10 14 0 160 11 27.1 20 10 0 161 11 51.5 26 16 0 162 4 36.7 19 16 1 163 3 30.0 25 13 0 164 11 32.7 21 14 1 165 11 48.2 23 12 1 166 3 29.7 15 12 0 167 4 55.3 14 12 1 168 4 44.0 12 12 1 169 1 67.8 22 20 1 170 0 43.3 20 20 0 171 4 55.3 30 16 1 172 11 48.1 32 14 1 173 0 24.7 7 16 1 174 11 34.7 27 13 0 175 11 23.6 5 13 0 176 3 30.5 20 12 0 177 1 45.5 13 12 1 178 1 58.6 15 20 1 179 2 54.8 18 13 1 180 1 50.1 25 15 1 181 1 61.4 29 18 1 182 1 39.9 38 18 1 183 4 33.7 40 8 1 184 1 36.4 40 10 1 185 2 40.8 25 13 1 186 11 55.7 15 16 1 187 3 28.9 12 12 0 188 1 47.9 30 18 0 189 0 57.7 15 12 1 190 11 49.0 27 16 1 191 0 42.4 11 20 1 192 4 41.2 21 14 1 193 0 36.7 26 12 0 194 4 26.4 13 12 1 195 4 36.1 13 10 1 196 11 69.3 30 16 1 197 0 52.3 18 16 1 198 3 23.2 22 12 0 199 4 21.9 35 14 0 200 3 48.7 8 12 0 201 11 43.7 24 14 0 202 11 36.9 11 16 1 203 0 33.0 16 12 0 204 11 27.3 16 14 0 205 11 48.3 24 12 1 206 0 69.3 18 12 1 207 3 26.3 24 12 1 7 AGE 34 34 27 23 62 41 26 36 37 39 33 61 29 47 20 31 28 22 36 51 48 30 40 48 35 61 38 40 32 32 33 39 58 47 50 24 44 30 55 30 31 37 41 46 57 61 58 49 32 29 47 32 44 34 38 42 30 29 47 40 38 55 32 43 37 32 31 44 39 41 8 Work HRS 43 52 40 46 50 76 38 42 40 40 40 40 42 41 54 60 50 40 40 67 44 37 40 45 48 40 38 40 40 52 40 60 45 52 40 50 50 40 40 40 60 60 50 55 49 32 40 40 40 32 40 60 40 55 60 60 42 40 50 70 40 40 40 40 40 55 40 89 50 72 9 No EARN 1 1 2 2 1 2 2 2 4 1 1 1 2 1 2 1 2 1 1 3 2 2 2 1 2 1 3 2 2 1 2 2 2 1 2 2 4 2 1 1 2 1 3 2 3 2 1 2 1 2 1 2 2 1 2 3 1 2 4 1 2 2 1 2 1 2 2 2 2 1 10 Fam Inc 42.6 42.3 69.3 25.3 47.1 46.1 39.1 71.2 51.2 21.2 39.2 25.5 43.1 36.3 22.5 32.4 31.1 25.2 30.6 47.4 63.2 43.4 15.0 42.1 46.6 20.0 49.5 66.2 38.9 45.3 46.4 78.6 35.5 46.0 50.5 25.3 56.6 21.9 20.5 35.5 51.2 45.5 45.1 90.4 34.6 26.6 26.4 58.7 45.7 21.9 37.9 69.7 69.6 32.4 50.0 38.2 17.3 28.6 89.2 42.3 16.7 24.0 38.7 21.3 26.9 32.2 27.6 46.1 74.0 16.3 11 Job Sat 1 2 1 2 1 1 1 4 2 2 2 1 2 4 2 2 2 2 1 1 2 2 1 1 2 1 2 1 2 1 3 1 1 2 3 2 1 4 2 1 1 2 2 1 2 2 1 4 2 1 3 2 1 1 2 2 3 2 1 1 2 1 2 1 1 2 1 1 1 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 3 0 5.5 1 5 1 0 13 2 5 1 0 5 4 5 1 1 1.41 0 1 2 0 52.25 4 5 1 0 27.16 4 5 1 5 0.5 1 5 1 1 1 0 5 1 2 19 4 5 1 0 10 0 5 1 0 1 2 5 2 0 13 3 2 3 0 4.33 0 1 1 0 1 0 4 2 0 3 0 5 2 0 12.5 3 5 1 0 4.58 2 5 2 0 1 0 5 1 0 7 3 4 3 1 32.33 0 2 3 0 24.75 2 5 1 0 4 0 1 1 0 17 0 4 2 0 4 0 1 1 0 12 1 1 2 0 18.33 0 2 1 0 2.66 2 2 1 0 3 1 5 1 1 11.58 3 5 1 0 13 3 5 1 1 11 0 5 1 0 17 2 4 2 0 12 0 5 3 0 8 0 5 2 0 22.5 2 5 2 0 1 0 1 1 0 10 0 5 2 0 2 0 1 2 0 15 2 1 1 0 1.5 0 5 1 0 3 1 5 2 0 3 0 4 1 0 6 2 5 2 0 7 4 5 1 0 34 0 5 1 1 40 0 1 2 0 3.91 0 5 2 0 6 0 5 1 0 7 1 5 1 0 3 1 3 1 0 2 0 1 1 0 12 5 4 1 0 22 4 5 1 0 4 1 5 1 0 15 2 5 1 2 22 3 5 2 1 1.5 0 2 3 0 0.25 0 5 1 0 23.58 3 5 1 0 2 0 5 1 1 1 0 5 1 1 29.5 1 1 1 0 6 0 1 2 0 22.25 1 5 1 0 5 2 5 1 0 11 1 1 1 0 10 2 4 1 0 0.66 0 5 2 0 11 2 5 3 1 18 0 Page A6 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 208 11 44.4 13 14 1 209 4 41.4 41 8 1 210 1 63.8 38 18 1 211 2 36.4 54 12 1 212 3 24.4 6 16 0 213 3 23.4 26 12 0 214 11 33.1 12 16 1 215 4 22.0 19 14 1 216 2 32.8 7 12 1 217 0 40.7 22 16 1 218 3 25.3 17 13 0 219 1 37.9 20 16 0 220 3 25.5 21 14 0 221 9 21.9 35 14 0 222 3 55.8 24 12 1 223 4 39.5 21 15 1 224 1 30.4 4 16 0 225 1 47.7 24 20 0 226 11 33.4 11 14 0 227 4 35.9 11 12 1 228 2 36.8 20 12 1 229 0 51.2 11 15 1 230 11 36.0 8 16 1 231 11 45.2 42 11 1 232 4 23.1 20 12 1 233 3 29.3 16 9 1 234 4 21.1 4 12 0 235 11 28.7 20 9 0 236 3 72.8 19 12 0 237 0 35.2 22 16 0 238 1 31.1 10 13 1 239 11 46.6 25 17 1 240 1 39.3 11 12 1 241 4 29.3 30 8 1 242 1 42.2 14 18 0 243 2 53.6 22 15 1 244 1 38.1 20 16 0 245 11 25.3 13 14 0 246 11 35.0 16 17 0 247 2 25.3 34 13 1 248 11 42.6 14 14 1 249 3 27.8 10 15 0 250 3 25.4 15 14 0 251 0 35.9 19 14 0 252 3 25.0 11 12 0 253 4 40.3 25 13 1 254 3 62.7 31 14 1 255 0 55.7 17 16 1 256 1 38.6 14 20 0 257 0 26.2 20 16 1 258 0 54.7 45 15 1 259 2 28.1 5 12 0 260 0 65.0 45 14 1 261 11 37.5 17 12 1 262 4 35.2 16 11 1 263 4 31.4 22 12 1 264 1 35.5 21 16 0 265 4 26.1 33 10 1 266 2 41.9 34 16 1 267 0 60.4 35 14 1 268 2 26.2 13 13 1 269 3 50.7 24 18 0 270 0 64.9 20 16 1 271 1 28.1 24 18 0 272 1 60.9 14 12 1 273 2 36.1 22 14 1 274 8 25.4 15 14 0 275 0 37.6 28 12 0 276 0 33.9 26 19 0 277 11 68.0 48 12 1 7 AGE 30 58 55 60 29 42 41 35 24 39 38 37 47 55 41 38 26 41 31 29 38 33 25 62 42 33 21 50 36 41 27 42 28 46 32 40 39 30 33 56 30 27 37 36 32 44 48 39 31 39 62 21 62 34 35 41 45 54 51 52 29 44 40 41 31 40 37 43 41 64 8 Work HRS 40 65 75 68 40 40 38 48 50 45 35 35 60 40 45 60 45 35 40 45 40 40 60 45 40 56 55 40 40 50 57 47 60 40 40 46 40 43 45 40 40 45 40 65 40 50 80 40 45 60 40 72 40 45 40 45 50 40 40 40 60 40 50 40 45 40 40 46 40 48 9 No EARN 2 3 2 1 3 1 1 2 2 1 1 1 3 2 1 2 1 2 2 2 2 1 1 2 2 1 4 2 1 1 2 1 2 4 1 1 2 2 1 1 2 1 1 1 2 2 2 2 1 1 2 4 3 3 1 1 2 3 1 1 2 2 2 2 1 1 1 1 2 2 10 Fam Inc 38.3 42.3 74.3 35.4 28.3 29.7 26.9 15.8 34.5 34.1 15.3 35.2 68.7 24.0 49.4 49.7 53.9 61.6 45.6 33.5 34.1 41.2 39.9 34.2 25.8 23.2 35.7 24.8 63.4 26.9 28.3 39.2 44.0 24.0 32.2 51.4 68.7 28.9 26.3 15.3 32.4 17.8 15.4 26.6 25.4 37.7 56.1 68.5 28.6 16.8 49.4 77.9 85.4 45.2 28.4 21.4 70.4 26.4 33.5 53.7 41.2 49.2 82.7 47.1 55.1 26.1 15.4 27.6 55.3 98.6 11 Job Sat 2 2 3 1 3 1 2 2 2 3 1 2 4 1 1 1 2 1 1 2 2 2 2 2 1 1 1 2 1 1 2 1 3 2 1 1 2 1 2 1 2 1 1 1 2 2 4 2 2 1 1 1 1 1 2 1 2 1 2 1 1 3 3 1 1 2 1 2 2 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 1 1 0 11 3 2 1 0 3 0 4 3 4 29 2 1 1 0 10 4 1 1 0 3 0 4 1 0 1.08 1 4 1 0 12 0 2 1 0 7 1 5 1 0 3 0 4 3 0 9 2 5 1 1 4 1 1 1 0 14 0 5 3 0 1 0 5 1 1 29.5 1 5 1 0 8 4 1 3 0 4 1 1 1 0 4 0 3 2 0 17 0 5 2 0 5.5 0 1 1 0 3 0 5 2 0 7 0 5 3 0 10 0 4 1 0 3 0 5 1 0 23 0 1 1 0 12.83 0 4 1 0 4.5 0 5 1 0 2 0 1 1 0 10 0 4 1 0 2.16 0 5 1 0 2.33 0 5 1 0 0.33 1 2 2 2 5 0 5 1 0 5.5 5 1 1 1 2 0 5 1 0 5 0 5 1 0 18 6 3 1 1 5 1 5 3 3 0.25 1 5 1 0 1 0 5 1 0 1.83 0 5 2 0 6 0 5 3 0 2 0 1 1 1 15 3 5 3 0 6 0 3 1 0 10 0 1 1 1 15 0 1 3 0 9 1 4 3 0 16 1 5 2 0 1 0 1 1 2 3.25 0 2 1 0 27 2 1 1 0 1.08 0 1 1 0 1.91 2 4 2 0 2.08 1 1 3 0 13 0 1 1 0 0.25 0 1 1 0 20 3 2 2 0 33 2 5 3 0 6 1 2 2 0 31.91 3 1 3 0 5 1 1 2 0 22 0 5 1 0 6 1 5 1 0 0.25 0 1 1 0 0.66 0 5 2 0 15 1 1 1 1 15 3 5 3 0 14 1 5 1 0 4 0 5 1 1 29 3 Page A7 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 278 1 37.0 23 13 0 279 4 43.0 35 8 1 280 3 27.1 15 13 0 281 2 36.6 20 12 1 282 8 25.5 34 12 0 283 1 36.0 10 18 0 284 11 30.8 9 14 1 285 0 31.3 28 12 1 286 1 33.4 9 16 0 287 0 51.2 16 14 1 288 11 35.8 19 12 0 289 2 49.2 20 14 1 290 11 61.6 12 16 1 291 0 38.1 25 13 0 292 4 37.5 29 12 1 293 11 34.0 16 14 0 294 0 49.6 30 13 0 295 0 40.2 6 16 0 296 8 27.7 20 13 0 297 2 61.2 37 14 1 298 0 86.4 38 12 1 299 1 29.5 27 18 1 300 3 27.7 20 13 0 301 0 39.4 25 16 0 302 4 52.8 38 14 1 303 0 24.7 26 13 1 304 4 30.5 27 16 0 305 1 30.4 27 16 1 306 4 28.2 45 11 0 307 3 25.3 3 12 0 308 1 53.4 25 19 0 309 1 48.5 18 14 1 310 2 46.6 21 14 1 311 11 41.2 20 15 1 312 3 28.1 22 13 0 313 1 40.4 33 18 1 314 1 43.4 14 16 0 315 3 56.6 32 12 1 316 1 77.0 35 19 1 317 1 43.7 32 16 0 318 1 49.4 19 14 1 319 11 41.3 9 16 0 320 1 101.9 35 16 1 321 0 43.7 25 16 0 322 0 26.6 5 15 0 323 2 53.6 27 12 1 324 4 32.5 12 12 1 325 11 27.6 10 12 0 326 4 41.8 45 8 1 327 1 37.9 27 18 1 328 11 39.4 23 12 0 329 2 35.0 35 12 1 330 4 46.9 21 12 1 331 2 52.7 35 12 1 332 1 47.7 26 15 1 333 0 62.6 8 14 1 334 4 35.7 11 11 0 335 2 42.5 42 12 1 336 4 31.6 12 16 0 337 2 57.2 16 14 1 338 11 46.9 23 12 1 339 11 27.4 34 12 0 340 4 24.7 8 12 0 341 1 32.7 12 16 0 342 2 23.2 10 14 1 343 2 32.5 35 11 0 344 4 33.3 22 12 1 345 1 35.4 19 18 0 346 11 27.8 17 16 1 347 11 48.4 24 12 0 7 AGE 40 52 41 38 56 26 26 45 26 33 38 36 36 45 45 34 51 38 40 54 57 43 40 45 54 43 48 44 57 20 49 39 41 37 65 50 57 48 53 52 38 33 63 51 43 44 30 42 62 38 54 52 38 55 43 25 36 53 28 32 40 57 27 38 28 52 39 36 38 41 8 Work HRS 51 40 40 40 40 40 40 40 40 55 32 40 60 36 50 40 40 40 45 50 32 54 45 40 50 40 35 40 40 40 28 40 40 40 40 40 34 40 50 60 52 40 45 40 38 40 50 40 40 60 40 40 48 44 60 73 48 40 60 40 60 42 32 40 75 50 50 60 60 40 9 No EARN 2 1 2 2 2 1 1 1 1 1 2 1 1 2 2 1 2 2 3 2 2 1 3 4 1 2 1 1 2 2 1 1 1 1 1 1 4 4 4 2 1 1 4 2 4 2 1 2 1 1 2 2 2 3 2 1 2 4 2 2 1 1 2 1 1 1 1 4 2 2 10 Fam Inc 29.7 33.2 32.4 29.6 44.5 26.0 20.8 44.1 29.0 48.8 59.4 39.8 51.6 60.3 47.6 19.5 85.9 90.5 31.4 66.7 94.2 24.6 31.4 53.3 42.8 23.3 20.9 20.4 30.1 27.1 45.3 38.5 39.4 31.2 18.2 30.4 88.0 71.0 70.1 51.4 59.9 31.3 98.3 66.1 67.6 61.2 22.5 22.7 32.0 42.7 21.3 34.6 51.7 46.9 70.8 54.4 47.5 46.5 40.0 49.3 37.5 18.7 22.0 22.7 14.5 22.5 23.3 51.2 50.6 76.4 11 Job Sat 1 4 2 1 2 1 1 2 1 2 1 1 1 2 1 1 1 1 2 1 1 2 2 1 2 1 2 1 2 1 1 1 2 1 1 1 2 1 2 1 1 1 1 2 4 1 3 1 1 2 1 1 2 2 2 1 2 1 1 2 1 2 2 1 2 1 2 2 1 4 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 1 0 17 0 3 1 1 20 2 5 1 0 4 0 1 1 0 11 3 5 1 0 21 0 5 1 0 1 0 4 2 0 1.5 1 5 3 1 0.58 1 5 1 0 8 3 1 2 1 7 4 5 1 0 3.5 1 2 1 0 18 2 3 2 0 5 0 5 1 0 21 4 1 1 0 17 2 5 1 2 4 1 5 2 0 24 4 1 3 0 6 4 5 1 0 7 1 5 1 0 5 0 1 1 1 34 0 2 3 1 13 2 5 1 0 7 1 5 2 0 4 0 5 1 0 27 2 5 1 0 26 0 5 3 0 3 0 5 1 0 2 0 1 1 0 15 2 4 1 0 1.5 0 5 1 0 1 3 5 1 1 10 1 5 2 0 11 1 5 1 0 5 0 5 1 0 13 1 3 2 0 23 3 3 1 0 11 0 5 1 0 25 1 5 1 0 11 0 4 1 0 18 0 5 1 0 1.5 1 1 2 0 1 0 5 2 0 32 0 5 2 0 23 1 5 1 0 3 0 3 1 0 20 4 5 1 0 8 2 5 1 2 6 1 5 2 0 17 0 5 1 0 12 0 5 1 0 23 0 5 1 0 27 0 4 1 1 18 1 5 1 0 14 0 1 1 0 17 0 5 1 0 2.5 0 5 2 0 10 0 5 2 0 22 0 5 1 0 7 0 5 1 0 1 0 5 1 1 11.25 0 5 1 0 29.25 0 4 1 0 5 1 4 1 0 10 1 4 1 0 3 0 5 1 0 19.16 0 5 3 0 3.41 2 5 1 0 10 0 5 1 0 2 0 5 1 4 11 0 Page A8 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 348 4 41.1 4 14 1 349 11 26.5 15 10 1 350 3 32.5 25 12 0 351 2 31.8 44 12 1 352 2 56.9 25 12 1 353 4 23.7 10 13 1 354 1 36.6 9 16 0 355 4 61.9 16 12 0 356 4 28.7 20 14 0 357 4 20.8 10 12 0 358 11 58.4 18 16 1 359 3 25.0 6 12 0 360 3 34.2 30 12 0 361 0 27.5 27 16 1 362 4 24.9 27 12 1 363 0 29.9 14 16 0 364 1 38.0 26 18 1 365 11 31.9 32 17 1 366 1 51.1 45 20 1 367 2 41.2 16 12 1 368 11 26.4 16 12 0 369 2 32.0 4 12 0 370 11 40.2 46 10 1 371 2 22.6 18 14 1 372 2 25.2 10 12 1 373 2 25.8 27 14 1 374 2 31.3 24 11 1 375 4 27.6 8 12 1 376 1 39.7 7 17 0 377 0 48.5 6 12 1 378 0 45.7 17 12 0 379 2 25.3 4 12 0 380 2 43.9 28 12 1 381 1 33.9 28 19 0 382 4 25.4 6 12 0 383 4 32.6 32 10 1 384 4 41.4 24 11 1 385 3 29.3 18 12 1 386 4 21.8 25 12 0 387 1 33.6 16 16 0 388 4 23.3 16 12 1 389 4 20.1 13 12 0 390 3 31.9 21 12 0 391 9 28.7 20 14 0 392 4 58.4 15 14 1 393 11 32.5 24 13 1 394 11 38.9 10 14 0 395 2 62.8 15 12 1 396 1 27.9 10 19 0 397 2 51.1 26 12 1 398 0 24.5 2 13 1 399 4 46.3 16 12 1 400 3 25.5 34 12 0 401 9 35.7 25 14 0 402 8 35.2 15 12 0 403 5 88.3 14 20 1 404 5 50.5 12 15 1 405 12 30.2 3 14 1 406 12 45.7 40 14 1 407 10 30.0 10 14 0 408 7 28.0 10 13 0 409 6 70.8 15 18 1 410 5 48.4 15 16 1 411 6 41.0 13 12 0 412 7 86.6 30 13 1 413 12 43.3 12 12 0 414 8 25.8 20 14 0 415 9 37.5 31 4 1 416 10 64.2 23 16 1 417 12 42.0 20 12 0 7 AGE 27 32 61 51 42 30 24 33 39 37 39 23 55 43 43 50 43 49 63 33 35 21 63 36 28 43 44 25 27 22 33 25 47 44 26 47 41 35 41 32 34 31 31 39 32 44 29 35 28 42 22 35 56 64 33 35 33 23 60 37 25 39 35 35 49 34 50 49 39 61 8 Work HRS 50 80 40 60 50 40 56 48 40 40 35 44 50 55 56 38 56 50 50 84 40 40 42 50 70 40 34 63 50 65 36 48 40 40 40 40 65 40 40 40 40 40 47 40 80 50 37 60 40 45 40 40 40 30 50 50 40 40 40 40 40 50 30 32 55 40 40 40 40 40 9 No EARN 1 2 1 2 2 1 2 2 2 2 2 2 2 3 2 3 2 1 2 1 2 2 1 2 1 1 1 2 2 2 1 1 2 2 2 2 3 2 4 2 1 2 3 2 2 3 2 1 1 2 3 2 2 2 1 2 2 1 1 1 3 1 1 1 2 2 1 1 2 1 10 Fam Inc 31.1 36.3 22.5 35.1 50.9 14.6 39.2 58.3 38.3 24.1 61.8 37.3 27.9 55.7 18.0 54.1 36.7 21.9 60.7 31.2 46.8 35.6 29.0 19.8 15.2 15.9 21.3 30.8 61.6 41.4 35.7 15.3 41.1 42.0 39.9 47.5 48.8 45.0 28.2 43.9 14.5 59.7 40.2 38.3 67.9 26.1 72.6 52.8 17.9 44.6 31.1 43.1 44.5 81.9 25.2 85.3 85.6 20.2 35.7 15.0 49.5 60.8 38.4 33.5 93.5 55.2 17.4 27.6 67.2 34.6 11 Job Sat 2 1 1 3 1 2 2 2 2 3 1 3 2 2 2 1 3 2 1 1 2 2 2 2 1 2 2 1 1 1 1 2 2 1 2 1 2 2 2 1 2 2 1 2 1 1 1 3 1 2 2 2 2 1 1 2 2 1 1 2 2 2 2 1 3 2 3 2 1 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 3 0 3 0 2 1 0 1.5 0 5 3 0 17 1 5 1 0 8 0 5 2 0 14 0 5 3 0 8 0 4 1 1 2 0 5 3 0 14 1 1 1 0 20 2 1 2 0 2.66 0 5 2 0 9 0 2 1 0 2.5 0 1 2 0 30 3 3 1 0 5 2 5 1 0 0.25 0 5 1 0 1 0 1 1 0 5.5 0 4 1 3 1.5 0 5 2 1 25 2 1 2 0 13.91 3 2 2 0 10 0 1 2 0 1.25 3 4 1 0 9.41 7 2 2 0 9.66 5 1 2 0 9.66 2 5 3 0 18.16 7 4 2 0 4 0 1 1 0 4 1 5 1 3 1 0 5 1 2 1 1 5 1 0 11 0 4 1 1 2 0 1 1 0 19 1 5 1 0 3.58 0 1 1 0 5 1 5 1 0 10 1 1 3 0 5 1 1 1 0 8 0 4 1 0 16 0 4 1 0 3 0 1 2 0 13 0 1 1 0 2.5 0 1 1 0 10 0 1 1 0 20 2 5 1 0 6 2 5 2 0 24 0 5 1 0 2 0 1 3 0 3 2 5 1 0 2 1 5 3 0 19.25 0 2 1 0 1.25 1 4 3 0 16 4 5 1 0 21 0 3 2 0 11 0 1 2 0 4 3 4 1 0 3 0 3 1 0 9 2 1 1 0 1.5 0 1 1 0 20 0 1 2 0 1.5 0 5 3 1 1.5 0 5 1 0 5 0 1 2 0 3 2 1 1 0 1.5 0 1 1 0 5 0 1 1 0 6 1 1 1 0 10 0 3 2 1 22.08 0 5 1 0 0.5 0 1 1 0 0.75 0 Page A9 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 418 5 36.6 43 16 1 419 8 43.1 7 16 1 420 9 20.5 3 11 1 421 8 34.3 7 12 0 422 7 43.3 17 10 1 423 12 43.8 14 16 1 424 12 45.7 20 13 0 425 8 46.1 36 16 0 426 6 33.7 25 16 0 427 10 66.4 27 13 1 428 7 52.7 18 15 1 429 8 24.7 15 16 1 430 5 41.3 18 12 0 431 8 34.1 33 14 0 432 12 40.3 15 12 0 433 10 55.2 24 13 1 434 6 27.9 9 16 0 435 12 30.4 11 17 0 436 7 36.3 23 13 1 437 6 31.6 12 16 0 438 5 58.7 19 19 1 439 12 28.4 23 15 1 440 8 25.4 16 12 1 441 5 63.7 42 14 1 442 6 27.0 7 16 0 443 9 21.5 1 12 1 444 6 27.7 14 16 0 445 12 21.8 18 9 0 446 5 85.6 23 18 1 447 6 37.6 9 18 1 448 5 42.8 22 17 0 449 10 26.6 3 14 0 450 3 46.1 36 16 0 451 5 60.1 20 17 0 452 6 46.3 7 19 1 453 5 40.3 16 18 1 454 10 51.5 12 12 1 455 6 39.8 23 17 0 456 5 42.2 2 16 1 457 12 50.2 14 16 0 458 8 32.5 10 12 1 459 5 30.1 18 17 1 460 10 31.6 4 9 0 461 5 60.6 36 16 1 462 5 32.5 23 13 0 463 7 66.7 27 14 1 464 5 25.5 5 11 0 465 7 27.0 13 10 0 466 9 26.5 27 12 1 467 5 53.3 18 15 1 468 12 32.0 8 16 1 469 9 20.2 34 9 1 470 6 51.3 13 16 1 471 9 64.2 26 12 1 472 6 29.8 12 14 0 473 7 60.0 32 12 1 474 8 29.3 10 13 0 475 5 26.0 6 16 0 476 8 28.1 4 14 0 477 8 31.7 15 12 0 478 5 33.6 11 16 1 479 7 49.0 30 12 1 480 9 40.9 37 14 1 481 7 42.3 11 13 1 482 8 27.9 17 14 1 483 6 49.8 42 15 1 484 6 47.2 19 16 0 485 6 64.6 30 16 1 486 7 28.8 24 14 0 487 9 49.6 8 17 1 7 AGE 59 25 20 24 33 30 37 56 42 43 35 35 34 50 34 41 44 27 40 33 38 41 32 58 28 18 33 34 39 31 48 21 56 29 33 36 28 40 25 39 27 40 27 53 39 47 27 40 27 35 25 53 35 43 33 48 26 23 30 53 29 53 43 30 27 59 36 52 40 29 8 Work HRS 40 40 50 49 30 55 64 40 40 50 40 40 48 42 50 45 40 40 40 32 50 89 40 48 40 45 40 38 40 40 40 40 40 40 45 32 62 40 40 40 40 40 40 50 46 72 40 40 30 50 40 35 40 48 40 40 40 40 48 40 55 40 40 40 40 35 40 40 50 59 9 No EARN 1 1 2 2 2 1 1 1 3 4 2 2 2 3 4 2 3 2 3 2 2 1 1 2 1 5 1 3 1 1 1 2 1 1 1 2 2 1 2 1 3 2 3 3 2 1 2 2 1 1 3 1 1 2 3 3 1 1 2 1 1 2 1 2 2 2 1 2 2 2 10 Fam Inc 35.4 33.1 14.3 27.4 42.8 33.8 35.7 36.9 51.2 91.8 51.8 46.9 67.7 69.6 34.2 18.5 34.2 36.2 29.9 46.6 68.0 19.2 15.4 56.5 20.0 55.5 19.3 43.7 91.8 29.4 33.5 60.7 36.9 50.1 37.4 71.3 47.1 44.1 43.2 45.2 32.5 35.1 48.9 75.1 50.3 59.5 30.4 19.3 17.0 43.3 52.3 15.6 41.3 67.9 62.5 54.1 19.6 16.9 41.8 35.7 34.8 43.9 30.9 39.3 46.5 69.0 38.8 56.7 57.4 46.6 11 Job Sat 2 4 1 3 3 1 1 1 1 1 1 2 1 2 2 2 1 2 1 1 1 3 1 2 1 3 1 2 1 2 2 2 1 1 2 4 1 4 1 2 1 2 2 2 1 1 4 2 2 1 1 1 2 1 2 2 2 1 2 2 2 2 1 2 2 1 2 4 1 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 1 1 1.5 1 5 3 0 1 1 1 1 0 1 3 4 2 0 5 1 5 1 0 5 0 5 1 0 5 1 5 1 1 3 0 1 1 0 30 3 1 1 1 5.5 0 4 1 0 12 2 5 1 0 0.5 0 5 2 3 0.75 2 3 1 0 3 0 5 1 0 3.5 1 3 3 1 8 2 1 1 0 2 0 1 3 0 5.5 0 5 1 0 7 0 1 1 0 10 1 5 3 0 2.58 0 4 1 0 15 4 1 1 0 1 0 1 2 0 0.16 0 4 3 0 36 4 5 1 0 12.33 1 1 1 0 1 0 5 2 0 3 0 1 1 0 1.5 1 5 2 1 3 0 5 1 0 4 0 5 1 0 6 2 5 1 0 0.66 0 1 1 0 30 3 5 1 0 16 0 5 1 0 4 1 5 2 0 4.08 1 4 2 0 5 3 5 3 0 4.5 0 4 1 0 2 0 5 1 0 2 1 5 1 0 5 0 1 1 0 11.83 4 5 1 0 4 0 1 3 0 10 0 5 1 0 1 0 1 1 0 5 0 2 2 1 2 2 5 3 0 4 0 5 1 2 0.5 0 1 1 1 10 0 5 1 0 2.5 0 5 1 1 5 0 5 1 0 6.41 3 1 1 0 11 2 1 1 1 2 1 4 3 2 21 4 3 1 0 4 5 2 1 0 0.75 0 1 2 1 1 1 5 2 0 12.5 1 5 1 0 1 1 5 1 0 0.08 0 5 3 0 2 0 5 1 0 10 2 5 1 2 0.5 0 5 1 0 6 0 4 2 0 12.5 1 5 1 0 21 1 5 3 0 1.5 1 1 2 0 2.83 0 Page A10 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 488 12 88.0 23 14 1 489 5 35.2 20 12 0 490 6 74.5 21 20 1 491 5 38.6 21 13 0 492 5 71.7 25 16 0 493 5 45.1 12 16 0 494 8 30.6 20 14 0 495 12 23.7 15 12 0 496 12 50.8 35 12 1 497 7 49.2 8 15 1 498 8 29.7 27 12 0 499 8 37.1 21 13 0 500 3 28.1 4 14 0 501 8 27.8 20 12 0 502 10 38.4 17 14 1 503 10 31.1 8 14 1 504 7 25.0 14 12 1 505 6 39.2 18 18 1 506 12 33.0 15 16 1 507 7 30.0 8 10 1 508 8 33.1 25 16 0 509 8 36.8 18 13 1 510 8 29.3 8 12 0 511 12 20.3 6 16 1 512 8 26.7 20 12 0 513 8 25.9 9 12 0 514 8 35.8 45 12 0 515 8 33.9 10 13 1 516 9 28.9 16 14 1 517 7 46.3 10 12 1 518 6 68.0 34 20 0 519 10 40.7 25 15 0 520 6 61.8 27 17 1 521 10 32.1 7 15 1 522 10 42.5 24 12 1 523 5 34.8 14 16 0 524 8 25.6 24 14 0 525 5 38.5 17 12 0 526 8 30.0 15 12 0 527 10 37.1 8 12 1 528 9 47.3 10 14 1 529 9 26.7 20 12 0 530 10 61.8 49 12 1 531 12 32.7 15 14 0 532 7 52.5 27 8 1 533 6 54.4 28 19 1 534 8 60.5 20 16 1 535 12 91.7 36 16 1 536 12 65.3 20 16 1 537 8 26.2 10 12 0 538 5 52.6 12 16 1 539 7 52.3 16 12 1 540 8 44.6 10 16 0 541 9 32.5 6 12 1 542 5 57.1 45 11 1 543 10 49.1 24 13 1 544 9 24.9 9 15 1 545 12 26.0 19 18 0 546 12 43.1 19 16 1 547 5 31.2 20 12 0 548 7 31.7 15 11 1 549 12 35.1 30 10 0 550 3 25.6 24 14 0 551 6 37.0 15 19 0 552 12 26.1 3 10 1 553 7 40.4 14 12 1 554 6 38.6 6 17 1 555 12 35.2 9 14 1 556 12 40.6 15 17 1 557 7 40.9 33 12 1 7 AGE 40 36 38 64 43 28 52 48 52 29 43 39 30 40 34 25 32 39 32 25 42 37 28 23 37 35 63 29 33 26 50 49 44 25 41 44 42 36 42 26 27 48 65 33 44 48 37 52 38 35 34 34 27 23 62 41 26 36 37 39 33 61 42 47 20 31 28 22 36 51 8 Work HRS 40 45 45 43 55 46 40 30 40 50 40 36 48 45 48 50 42 32 40 40 36 40 50 60 40 43 35 41 50 44 40 40 35 31 40 40 37 60 40 40 65 40 40 40 40 55 50 70 60 40 43 52 40 46 50 76 38 42 40 40 40 40 37 41 54 60 50 40 40 67 9 No EARN 2 1 1 1 2 1 1 2 2 1 2 3 2 1 2 1 1 3 1 1 1 4 1 3 2 1 1 2 2 1 2 3 3 2 1 3 1 3 2 1 2 3 4 2 1 4 2 1 2 2 1 1 2 2 1 2 2 2 4 1 1 1 1 1 2 1 2 1 1 3 10 Fam Inc 92.9 25.9 65.7 35.2 78.8 38.3 47.3 36.1 96.2 63.6 57.8 31.2 41.8 17.8 33.4 29.9 15.0 62.6 23.5 20.0 34.2 34.0 19.3 38.4 26.5 15.9 38.7 43.0 22.4 36.3 98.7 50.8 61.6 39.8 23.4 48.2 16.4 59.0 23.0 38.2 39.7 46.8 68.0 83.3 49.2 66.8 59.2 81.7 59.0 43.4 42.6 42.3 69.3 25.3 47.1 46.1 39.1 71.2 51.2 21.2 39.2 25.5 16.4 36.3 22.5 32.4 31.1 25.2 30.6 47.4 11 Job Sat 1 3 1 1 1 2 2 1 3 1 1 2 2 1 1 2 3 1 2 3 4 3 2 2 2 1 1 2 2 2 2 2 2 1 1 1 4 4 1 1 2 2 1 2 2 2 2 1 1 2 1 2 1 2 1 1 1 4 2 2 2 1 4 4 2 2 2 2 1 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 1 0 4.33 0 1 1 0 10 1 5 3 0 4 2 4 1 0 7 1 5 1 0 18 2 5 1 0 0.16 0 5 1 0 3 1 5 1 0 1.66 0 5 1 1 0.08 0 4 2 0 1 0 5 1 0 9.41 1 5 1 0 16 0 1 2 1 1 1 1 1 0 0.5 0 5 1 0 10 2 2 1 0 3 0 4 3 0 1 0 3 2 0 2 0 1 1 0 3 3 4 3 0 2 3 5 2 0 12 1 4 1 0 16 0 1 1 0 3 0 1 3 0 1 1 1 1 0 10 0 5 1 0 1.5 1 2 3 0 22 1 4 3 0 3 2 5 2 1 1 0 1 1 0 2.5 0 3 3 0 8 0 5 1 0 3.41 0 5 3 0 22 0 2 1 0 1 1 1 1 0 10.5 1 1 1 0 5 3 1 2 0 2 0 1 1 0 9.5 1 2 3 0 7.08 0 1 3 0 1 0 1 1 1 2 0 5 1 0 9 0 4 1 1 12.41 2 3 3 0 3.75 0 4 3 0 11 1 4 3 0 5.66 0 5 1 0 8.5 2 5 1 0 1 0 5 1 0 2.66 0 1 1 0 2.5 3 5 3 0 5.5 1 5 1 0 13 2 5 1 0 5 4 5 1 1 1.41 0 1 2 0 52.25 4 5 1 0 27.16 4 5 1 5 0.5 1 5 1 1 1 0 5 1 2 19 4 5 1 0 10 0 5 1 0 1 2 5 2 0 13 3 1 2 0 2 0 1 1 0 1 0 4 2 0 3 0 5 2 0 12.5 3 5 1 0 4.58 2 5 2 0 1 0 5 1 0 7 3 4 3 1 32.33 0 Page A11 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 558 9 45.1 31 12 1 559 9 23.9 10 14 0 560 10 27.1 20 10 0 561 8 32.7 13 15 0 562 9 36.7 19 16 1 563 8 30.0 25 13 0 564 10 32.7 21 14 1 565 10 48.2 23 12 1 566 8 29.7 15 12 0 567 9 55.3 14 12 1 568 9 44.0 12 12 1 569 6 67.8 22 20 1 570 5 43.3 20 20 0 571 9 55.3 30 16 1 572 12 48.1 32 14 1 573 5 24.7 7 16 1 574 12 34.7 27 13 0 575 12 23.6 5 13 0 576 8 30.5 20 12 0 577 6 45.5 13 12 1 578 6 58.6 15 20 1 579 7 54.8 18 13 1 580 6 50.1 25 15 1 581 6 61.4 29 18 1 582 6 39.9 38 18 1 583 9 33.7 40 8 1 584 6 36.4 40 10 1 585 7 40.8 25 13 1 586 12 55.7 15 16 1 587 8 28.9 12 12 0 588 6 47.9 30 18 0 589 5 57.7 15 12 1 590 12 49.0 27 16 1 591 5 42.4 11 20 1 592 9 41.2 21 14 1 593 5 36.7 26 12 0 594 9 26.4 13 12 1 595 9 36.1 13 10 1 596 10 69.3 30 16 1 597 5 52.3 18 16 1 598 8 23.2 22 12 0 599 8 48.7 8 12 0 600 3 37.3 20 12 0 601 10 43.7 24 14 0 602 12 36.9 11 16 1 603 5 33.0 16 12 0 604 12 27.3 16 14 0 605 12 48.3 24 12 1 606 5 69.3 18 12 1 607 8 26.3 24 12 1 608 12 44.4 13 14 1 609 9 41.4 41 8 1 610 6 63.8 38 18 1 611 7 36.4 54 12 1 612 8 24.4 6 16 0 613 8 23.4 26 12 0 614 12 33.1 12 16 1 615 9 22.0 19 14 1 616 7 32.8 7 12 1 617 5 40.7 22 16 1 618 8 25.3 17 13 0 619 6 37.9 20 16 0 620 8 25.5 21 14 0 621 8 37.3 20 12 0 622 8 55.8 24 12 1 623 9 39.5 21 15 1 624 6 30.4 4 16 0 625 6 47.7 24 20 0 626 12 33.4 11 14 0 627 9 35.9 11 12 1 7 AGE 48 30 40 29 35 61 38 40 32 32 33 39 58 47 50 24 44 30 55 30 31 37 41 46 57 61 58 49 32 29 47 32 44 34 38 42 30 29 47 40 38 32 38 43 37 32 31 44 39 41 30 58 55 60 29 42 41 35 24 39 38 37 47 38 41 38 26 41 31 29 8 Work HRS 44 37 40 42 48 40 38 40 40 52 40 60 45 52 40 50 50 40 40 40 60 60 50 55 49 32 40 40 40 32 40 60 40 55 60 60 42 40 50 70 40 40 40 40 40 55 40 89 50 72 40 65 75 68 40 40 38 48 50 45 35 35 60 40 45 60 45 35 40 45 9 No EARN 2 2 2 2 2 1 3 2 2 1 2 2 2 1 2 2 4 2 1 1 2 1 3 2 3 2 1 2 1 2 1 2 2 1 2 3 1 2 4 1 2 1 4 2 1 2 2 2 2 1 2 3 2 1 3 1 1 2 2 1 1 1 3 4 1 2 1 2 2 2 10 Fam Inc 63.2 43.4 15.0 43.1 46.6 20.0 49.5 66.2 38.9 45.3 46.4 78.6 35.5 46.0 50.5 25.3 56.6 21.9 20.5 35.5 51.2 45.5 45.1 90.4 34.6 26.6 26.4 58.7 45.7 21.9 37.9 69.7 69.6 32.4 50.0 38.2 17.3 28.6 89.2 42.3 16.7 38.7 72.6 21.3 26.9 32.2 27.6 46.1 74.0 16.3 38.3 42.3 74.3 35.4 28.3 29.7 26.9 15.8 34.5 34.1 15.3 35.2 68.7 72.6 49.4 49.7 53.9 61.6 45.6 33.5 11 Job Sat 2 2 1 2 2 1 2 1 2 1 3 1 1 2 3 2 1 4 2 1 1 2 2 1 2 2 1 4 2 1 3 2 1 1 2 2 3 2 1 1 2 2 1 1 1 2 1 1 1 1 2 2 3 1 3 1 2 2 2 3 1 2 4 1 1 1 2 1 1 2 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 2 3 0 24.75 2 5 1 0 4 0 1 1 0 17 0 2 3 0 4.33 0 1 1 0 12 1 1 2 0 18.33 0 2 1 0 2.66 2 2 1 0 3 1 5 1 1 11.58 3 5 1 0 13 3 5 1 1 11 0 5 1 0 17 2 4 2 0 12 0 5 3 0 8 0 5 2 0 22.5 2 5 2 0 1 0 1 1 0 10 0 5 2 0 2 0 1 2 0 15 2 1 1 0 1.5 0 5 1 0 3 1 5 2 0 3 0 4 1 0 6 2 5 2 0 7 4 5 1 0 34 0 5 1 1 40 0 1 2 0 3.91 0 5 2 0 6 0 5 1 0 7 1 5 1 0 3 1 3 1 0 2 0 1 1 0 12 5 4 1 0 22 4 5 1 0 4 1 5 1 0 15 2 5 1 2 22 3 5 2 1 1.5 0 2 3 0 0.25 0 5 1 0 23.58 3 5 1 0 2 0 5 1 1 1 0 1 1 0 6 0 4 1 0 10.5 4 1 2 0 22.25 1 5 1 0 5 2 5 1 0 11 1 1 1 0 10 2 4 1 0 0.66 0 5 2 0 11 2 5 3 1 18 0 1 1 0 11 3 2 1 0 3 0 4 3 4 29 2 1 1 0 10 4 1 1 0 3 0 4 1 0 1.08 1 4 1 0 12 0 2 1 0 7 1 5 1 0 3 0 4 3 0 9 2 5 1 1 4 1 1 1 0 14 0 5 3 0 1 0 4 1 0 10.5 4 5 1 0 8 4 1 3 0 4 1 1 1 0 4 0 3 2 0 17 0 5 2 0 5.5 0 1 1 0 3 0 Page A12 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 628 7 36.8 20 12 1 629 5 51.2 11 15 1 630 12 36.0 8 16 1 631 10 45.2 42 11 1 632 9 23.1 20 12 1 633 8 29.3 16 9 1 634 9 21.1 4 12 0 635 10 28.7 20 9 0 636 8 72.8 19 12 0 637 5 35.2 22 16 0 638 6 31.1 10 13 1 639 12 46.6 25 17 1 640 6 39.3 11 12 1 641 9 29.3 30 8 1 642 6 42.2 14 18 0 643 7 53.6 22 15 1 644 6 38.1 20 16 0 645 10 25.3 13 14 0 646 12 35.0 16 17 0 647 7 25.3 34 13 1 648 10 42.6 14 14 1 649 8 27.8 10 15 0 650 3 24.2 20 17 0 651 5 35.9 19 14 0 652 8 25.0 11 12 0 653 9 40.3 25 13 1 654 8 62.7 31 14 1 655 5 55.7 17 16 1 656 6 38.6 14 20 0 657 5 26.2 20 16 1 658 5 54.7 45 15 1 659 7 28.1 5 12 0 660 5 65.0 45 14 1 661 12 37.5 17 12 1 662 9 35.2 16 11 1 663 9 31.4 22 12 1 664 6 35.5 21 16 0 665 9 26.1 33 10 1 666 7 41.9 34 16 1 667 5 60.4 35 14 1 668 7 26.2 13 13 1 669 8 50.7 24 18 0 670 5 64.9 20 16 1 671 6 28.1 24 18 0 672 6 60.9 14 12 1 673 7 36.1 22 14 1 674 8 24.2 20 17 0 675 5 37.6 28 12 0 676 5 33.9 26 19 0 677 12 68.0 48 12 1 678 6 37.0 23 13 0 679 9 43.0 35 8 1 680 8 27.1 15 13 0 681 7 36.6 20 12 1 682 8 26.8 27 12 0 683 6 36.0 10 18 0 684 12 30.8 9 14 1 685 5 31.3 28 12 1 686 6 33.4 9 16 0 687 5 51.2 16 14 1 688 10 35.8 19 12 0 689 7 49.2 20 14 1 690 12 61.6 12 16 1 691 5 38.1 25 13 0 692 9 37.5 29 12 1 693 10 34.0 16 14 0 694 5 49.6 30 13 0 695 5 40.2 6 16 0 696 8 33.2 37 13 0 697 7 61.2 37 14 1 7 AGE 38 33 25 62 42 33 21 50 36 41 27 42 28 46 32 40 39 30 33 56 30 27 38 36 32 44 48 39 31 39 62 21 62 34 35 41 45 54 51 52 29 44 40 41 31 40 38 43 41 64 40 52 41 38 69 26 26 45 26 33 38 36 36 45 45 34 51 38 58 54 8 Work HRS 40 40 60 45 40 56 55 40 40 50 57 47 60 40 40 46 40 43 45 40 40 45 37 65 40 50 80 40 45 60 40 72 40 45 40 45 50 40 40 40 60 40 50 40 45 40 37 46 40 48 51 40 40 40 29 40 40 40 40 55 32 40 60 36 50 40 40 40 32 50 9 No EARN 2 1 1 2 2 1 4 2 1 1 2 1 2 4 1 1 2 2 1 1 2 1 1 1 2 2 2 2 1 1 2 4 3 3 1 1 2 3 1 1 2 2 2 2 1 1 1 1 2 2 2 1 2 2 1 1 1 1 1 1 2 1 1 2 2 1 2 2 1 2 10 Fam Inc 34.1 41.2 39.9 34.2 25.8 23.2 35.7 24.8 63.4 26.9 28.3 39.2 44.0 24.0 32.2 51.4 68.7 28.9 26.3 15.3 32.4 17.8 49.2 26.6 25.4 37.7 56.1 68.5 28.6 16.8 49.4 77.9 85.4 45.2 28.4 21.4 70.4 26.4 33.5 53.7 41.2 49.2 82.7 47.1 55.1 26.1 49.2 27.6 55.3 98.6 29.7 33.2 32.4 29.6 16.8 26.0 20.8 44.1 29.0 48.8 59.4 39.8 51.6 60.3 47.6 19.5 85.9 90.5 23.2 66.7 11 Job Sat 2 2 2 2 1 1 1 2 1 1 2 1 3 2 1 1 2 1 2 1 2 1 2 1 2 2 4 2 2 1 1 1 1 1 2 1 2 1 2 1 1 3 3 1 1 2 2 2 2 1 1 4 2 1 1 1 1 2 1 2 1 1 1 2 1 1 1 1 2 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 2 0 7 0 5 3 0 10 0 4 1 0 3 0 5 1 0 23 0 1 1 0 12.83 0 4 1 0 4.5 0 5 1 0 2 0 1 1 0 10 0 4 1 0 2.16 0 5 1 0 2.33 0 5 1 0 0.33 1 2 2 2 5 0 5 1 0 5.5 5 1 1 1 2 0 5 1 0 5 0 5 1 0 18 6 3 1 1 5 1 5 3 3 0.25 1 5 1 0 1 0 5 1 0 1.83 0 5 2 0 6 0 5 3 0 2 0 5 1 0 5 0 5 3 0 6 0 3 1 0 10 0 1 1 1 15 0 1 3 0 9 1 4 3 0 16 1 5 2 0 1 0 1 1 2 3.25 0 2 1 0 27 2 1 1 0 1.08 0 1 1 0 1.91 2 4 2 0 2.08 1 1 3 0 13 0 1 1 0 0.25 0 1 1 0 20 3 2 2 0 33 2 5 3 0 6 1 2 2 0 31.91 3 1 3 0 5 1 1 2 0 22 0 5 1 0 6 1 5 1 0 0.25 0 1 1 0 0.66 0 5 2 0 15 1 5 1 0 5 0 5 3 0 14 1 5 1 0 4 0 5 1 1 29 3 5 1 0 17 0 3 1 1 20 2 5 1 0 4 0 1 1 0 11 3 5 1 0 25 3 5 1 0 1 0 4 2 0 1.5 1 5 3 1 0.58 1 5 1 0 8 3 1 2 1 7 4 5 1 0 3.5 1 2 1 0 18 2 3 2 0 5 0 5 1 0 21 4 1 1 0 17 2 5 1 2 4 1 5 2 0 24 4 1 3 0 6 4 5 2 1 5 0 5 1 0 5 0 Page A13 1 2 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 698 5 86.4 38 12 1 699 6 29.5 27 18 1 700 3 33.2 37 13 0 701 5 39.4 25 16 0 702 9 52.8 38 14 1 703 5 24.7 26 13 1 704 9 30.5 27 16 0 705 6 30.4 27 16 1 706 9 28.2 45 11 0 707 8 25.3 3 12 0 708 6 53.4 25 19 0 709 6 48.5 18 14 1 710 7 46.6 21 14 1 711 12 41.2 20 15 1 712 8 28.1 22 13 0 713 6 40.4 33 18 1 714 6 43.4 14 16 0 715 8 56.6 32 12 1 716 6 77.0 35 19 1 717 6 43.7 32 16 0 718 6 49.4 19 14 1 719 12 41.3 9 16 0 720 6 101.9 35 16 1 721 5 43.7 25 16 0 722 5 26.6 5 15 0 723 7 53.6 27 12 1 724 9 32.5 12 12 1 725 12 27.6 10 12 0 726 9 41.8 45 8 1 727 6 37.9 27 18 1 728 10 39.4 23 12 0 729 7 35.0 35 12 1 730 9 46.9 21 12 1 731 7 52.7 35 12 1 732 6 47.7 26 15 1 733 5 62.6 8 14 1 734 9 35.7 11 11 0 735 7 42.5 42 12 1 736 9 31.6 12 16 0 737 7 57.2 16 14 1 738 12 46.9 23 12 1 739 12 27.4 34 12 0 740 9 24.7 8 12 0 741 6 32.7 12 16 0 742 7 23.2 10 14 1 743 7 32.5 35 11 0 744 9 33.3 22 12 1 745 6 35.4 19 18 0 746 12 27.8 17 16 1 747 12 48.4 24 12 0 748 9 41.1 4 14 1 749 12 26.5 15 10 1 750 3 20.3 20 13 0 751 7 31.8 44 12 1 752 7 56.9 25 12 1 753 9 23.7 10 13 1 754 6 36.6 9 16 0 755 9 61.9 16 12 0 756 8 32.5 25 12 0 757 9 20.8 10 12 0 758 12 58.4 18 16 1 759 8 25.0 6 12 0 760 8 34.2 30 12 0 761 5 27.5 27 16 1 762 9 24.9 27 12 1 763 5 29.9 14 16 0 764 6 38.0 26 18 1 765 12 31.9 32 17 1 766 6 51.1 45 20 1 767 7 41.2 16 12 1 7 AGE 57 43 58 45 54 43 48 44 57 20 49 39 41 37 65 50 57 48 53 52 38 33 63 51 43 44 30 42 62 38 54 52 38 55 43 25 36 53 28 32 40 57 27 38 28 52 39 36 38 41 27 32 57 51 42 30 24 33 61 37 39 23 55 43 43 50 43 49 63 33 8 Work HRS 32 54 32 40 50 40 35 40 40 40 28 40 40 40 40 40 34 40 50 60 52 40 45 40 38 40 50 40 40 60 40 40 48 44 60 73 48 40 60 40 60 42 32 40 75 50 50 60 60 40 50 80 32 60 50 40 56 48 40 40 35 44 50 55 56 38 56 50 50 84 9 No EARN 2 1 1 4 1 2 1 1 2 2 1 1 1 1 1 1 4 4 4 2 1 1 4 2 4 2 1 2 1 1 2 2 2 3 2 1 2 4 2 2 1 1 2 1 1 1 1 4 2 2 1 2 2 2 2 1 2 2 1 2 2 2 2 3 2 3 2 1 2 1 10 Fam Inc 94.2 24.6 23.2 53.3 42.8 23.3 20.9 20.4 30.1 27.1 45.3 38.5 39.4 31.2 18.2 30.4 88.0 71.0 70.1 51.4 59.9 31.3 98.3 66.1 67.6 61.2 22.5 22.7 32.0 42.7 21.3 34.6 51.7 46.9 70.8 54.4 47.5 46.5 40.0 49.3 37.5 18.7 22.0 22.7 14.5 22.5 23.3 51.2 50.6 76.4 31.1 36.3 42.5 35.1 50.9 14.6 39.2 58.3 22.5 24.1 61.8 37.3 27.9 55.7 18.0 54.1 36.7 21.9 60.7 31.2 11 Job Sat 1 2 2 1 2 1 2 1 2 1 1 1 2 1 1 1 2 1 2 1 1 1 1 2 4 1 3 1 1 2 1 1 2 2 2 1 2 1 1 2 1 2 2 1 2 1 2 2 1 4 2 1 2 3 1 2 2 2 1 3 1 3 2 2 2 1 3 2 1 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 1 1 1 34 0 2 3 1 13 2 5 2 1 5 0 5 2 0 4 0 5 1 0 27 2 5 1 0 26 0 5 3 0 3 0 5 1 0 2 0 1 1 0 15 2 4 1 0 1.5 0 5 1 0 1 3 5 1 1 10 1 5 2 0 11 1 5 1 0 5 0 5 1 0 13 1 3 2 0 23 3 3 1 0 11 0 5 1 0 25 1 5 1 0 11 0 4 1 0 18 0 5 1 0 1.5 1 1 2 0 1 0 5 2 0 32 0 5 2 0 23 1 5 1 0 3 0 3 1 0 20 4 5 1 0 8 2 5 1 2 6 1 5 2 0 17 0 5 1 0 12 0 5 1 0 23 0 5 1 0 27 0 4 1 1 18 1 5 1 0 14 0 1 1 0 17 0 5 1 0 2.5 0 5 2 0 10 0 5 2 0 22 0 5 1 0 7 0 5 1 0 1 0 5 1 1 11.25 0 5 1 0 29.25 0 4 1 0 5 1 4 1 0 10 1 4 1 0 3 0 5 1 0 19.16 0 5 3 0 3.41 2 5 1 0 10 0 5 1 0 2 0 5 1 4 11 0 5 3 0 3 0 2 1 0 1.5 0 1 2 1 3 0 5 1 0 8 0 5 2 0 14 0 5 3 0 8 0 4 1 1 2 0 5 3 0 14 1 5 3 0 17 1 1 2 0 2.66 0 5 2 0 9 0 2 1 0 2.5 0 1 2 0 30 3 3 1 0 5 2 5 1 0 0.25 0 5 1 0 1 0 1 1 0 5.5 0 4 1 3 1.5 0 5 2 1 25 2 1 2 0 13.91 3 Page A14 1 3 4 5 6 Resp Years ID_No OCCUP INCOME WORKed EDUCat GENDER 768 12 26.4 16 12 0 769 7 32.0 4 12 0 770 10 40.2 46 10 1 771 7 22.6 18 14 1 772 7 25.2 10 12 1 773 7 25.8 27 14 1 774 7 31.3 24 11 1 775 9 27.6 8 12 1 776 6 39.7 7 17 0 777 5 48.5 6 12 1 778 5 45.7 17 12 0 779 7 25.3 4 12 0 780 7 43.9 28 12 1 781 6 33.9 28 19 0 782 9 25.4 6 12 0 783 9 32.6 32 10 1 784 9 41.4 24 11 1 785 8 29.3 18 12 1 786 9 21.8 25 12 0 787 6 33.6 16 16 0 788 9 23.3 16 12 1 789 9 20.1 13 12 0 790 8 31.9 21 12 0 791 8 20.3 20 13 0 792 9 58.4 15 14 1 793 10 32.5 24 13 1 794 12 38.9 10 14 0 795 7 62.8 15 12 1 796 6 27.9 10 19 0 797 7 51.1 26 12 1 798 5 24.5 2 13 1 799 9 46.3 16 12 1 800 3 26.8 27 12 0 Total Average ID_No 2 32004.0 40.005 15974.0 19.968 11116.0 13.895 458.0 INCOME WORKed EDUCat GENDER 7 AGE 35 21 63 36 28 43 44 25 27 22 33 25 47 44 26 47 41 35 41 32 34 31 31 57 32 44 29 35 28 42 22 35 69 8 Work HRS 40 40 42 50 70 40 34 63 50 65 36 48 40 40 40 40 65 40 40 40 40 40 47 32 80 50 37 60 40 45 40 40 29 9 No EARN 2 2 1 2 1 1 1 2 2 2 1 1 2 2 2 2 3 2 4 2 1 2 3 2 2 3 2 1 1 2 3 2 1 10 Fam Inc 46.8 35.6 29.0 19.8 15.2 15.9 21.3 30.8 61.6 41.4 35.7 15.3 41.1 42.0 39.9 47.5 48.8 45.0 28.2 43.9 14.5 59.7 40.2 42.5 67.9 26.1 72.6 52.8 17.9 44.6 31.1 43.1 16.8 11 Job Sat 2 2 2 2 1 2 2 1 1 1 1 2 2 1 2 1 2 2 2 1 2 2 1 2 1 1 1 3 1 2 2 2 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 2 2 0 10 0 1 2 0 1.25 3 4 1 0 9.41 7 2 2 0 9.66 5 1 2 0 9.66 2 5 3 0 18.16 7 4 2 0 4 0 1 1 0 4 1 5 1 3 1 0 5 1 2 1 1 5 1 0 11 0 4 1 1 2 0 1 1 0 19 1 5 1 0 3.58 0 1 1 0 5 1 5 1 0 10 1 1 3 0 5 1 1 1 0 8 0 4 1 0 16 0 4 1 0 3 0 1 2 0 13 0 1 1 0 2.5 0 1 1 0 10 0 1 2 1 3 0 5 1 0 6 2 5 2 0 24 0 5 1 0 2 0 1 3 0 3 2 5 1 0 2 1 5 3 0 19.25 0 2 1 0 1.25 1 4 3 0 16 4 5 1 0 25 3 31528.0 36346.0 1448.0 33993.2 1352.0 2854.0 1200.0 180.0 6932.6 39.410 45.433 1.810 42.492 1.690 3.568 1.500 0.225 8.666 AGE HRS EARN Inc Sat Char Ahead Events Years 760.0 0.950 Prom Page A15 Employee Satisfaction Survey Results (SORTED by OCCUPATION) 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 1 3 0 88.3 14 20 1 2 4 0 50.5 12 15 1 3 10 0 48.4 15 16 1 4 18 0 36.6 43 16 1 5 30 0 41.3 18 12 0 6 38 0 58.7 19 19 1 7 41 0 63.7 42 14 1 8 46 0 85.6 23 18 1 9 48 0 42.8 22 17 0 10 51 0 60.1 20 17 0 11 53 0 40.3 16 18 1 12 56 0 42.2 2 16 1 13 59 0 30.1 18 17 1 14 61 0 60.6 36 16 1 15 62 0 32.5 23 13 0 16 64 0 25.5 5 11 0 17 67 0 53.3 18 15 1 18 74 0 54.7 13 16 0 19 75 0 26.0 6 16 0 20 78 0 33.6 11 16 1 21 89 0 35.2 20 12 0 22 91 0 38.6 21 13 0 23 92 0 71.7 25 16 0 24 93 0 45.1 12 16 0 25 123 0 34.8 14 16 0 26 125 0 38.5 17 12 0 27 138 0 52.6 12 16 1 28 142 0 57.1 45 11 1 29 147 0 31.2 20 12 0 30 170 0 43.3 20 20 0 31 173 0 24.7 7 16 1 32 189 0 57.7 15 12 1 33 191 0 42.4 11 20 1 34 193 0 36.7 26 12 0 35 197 0 52.3 18 16 1 36 203 0 33.0 16 12 0 37 206 0 69.3 18 12 1 38 217 0 40.7 22 16 1 39 229 0 51.2 11 15 1 40 237 0 35.2 22 16 0 41 251 0 35.9 19 14 0 42 255 0 55.7 17 16 1 43 257 0 26.2 20 16 1 44 258 0 54.7 45 15 1 45 260 0 65.0 45 14 1 46 267 0 60.4 35 14 1 47 270 0 64.9 20 16 1 48 275 0 37.6 28 12 0 49 276 0 33.9 26 19 0 50 285 0 31.3 28 12 1 51 287 0 51.2 16 14 1 52 291 0 38.1 25 13 0 53 294 0 49.6 30 13 0 54 295 0 40.2 6 16 0 55 298 0 86.4 38 12 1 56 301 0 39.4 25 16 0 57 303 0 24.7 26 13 1 58 321 0 43.7 25 16 0 59 322 0 26.6 5 15 0 60 333 0 62.6 8 14 1 61 361 0 27.5 27 16 1 62 363 0 29.9 14 16 0 63 377 0 48.5 6 12 1 64 378 0 45.7 17 12 0 65 398 0 24.5 2 13 1 66 9 1 70.8 15 18 1 67 11 1 41.0 13 12 0 7 AGE 35 33 35 59 34 38 58 39 48 29 36 25 40 53 39 27 35 26 23 29 36 64 43 28 44 36 34 62 39 58 24 32 34 42 40 32 39 39 33 41 36 39 39 62 62 52 40 43 41 45 33 45 51 38 57 45 43 51 43 25 43 50 22 33 22 39 35 8 Work HRS 50 40 30 40 48 50 48 40 40 40 32 40 40 50 46 40 50 40 40 55 45 43 55 46 40 60 43 50 40 45 50 60 55 60 70 55 50 45 40 50 65 40 60 40 40 40 50 46 40 40 55 36 40 40 32 40 40 40 38 73 55 38 65 36 40 50 32 9 No EARN 2 2 1 1 2 2 2 1 1 1 2 2 2 3 2 2 1 2 1 1 1 1 2 1 3 3 1 1 1 2 2 2 1 3 1 2 2 1 1 1 1 2 1 2 3 1 2 1 2 1 1 2 2 2 2 4 2 2 4 1 3 3 2 1 3 1 1 10 Fam Inc 85.3 85.6 38.4 35.4 67.7 68.0 56.5 91.8 33.5 50.1 71.3 43.2 35.1 75.1 50.3 30.4 43.3 65.3 16.9 34.8 25.9 35.2 78.8 38.3 48.2 59.0 42.6 47.1 21.2 35.5 25.3 69.7 32.4 38.2 42.3 32.2 74.0 34.1 41.2 26.9 26.6 68.5 16.8 49.4 85.4 53.7 82.7 27.6 55.3 44.1 48.8 60.3 85.9 90.5 94.2 53.3 23.3 66.1 67.6 54.4 55.7 54.1 41.4 35.7 31.1 60.8 33.5 11 Job Sat 2 2 2 2 1 1 2 1 2 1 4 1 2 2 1 4 1 1 1 2 3 1 1 2 1 4 1 1 2 1 2 2 1 2 1 2 1 3 2 1 1 2 1 1 1 1 3 2 2 2 2 2 1 1 1 1 1 2 4 1 2 1 1 1 2 2 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 4 1 0 3 0 3 1 0 9 2 1 2 0 3 2 5 1 1 1.5 1 3 1 0 3 0 4 1 0 15 4 4 3 0 36 4 5 2 1 3 0 5 1 0 6 2 5 1 0 16 0 5 2 0 4.08 1 4 1 0 2 0 1 1 0 11.83 4 1 3 0 10 0 5 1 0 1 0 2 2 1 2 2 1 1 1 10 0 4 1 0 3.5 1 2 1 0 0.75 0 5 1 0 1 1 1 1 0 10 1 4 1 0 7 1 5 1 0 18 2 5 1 0 0.16 0 1 1 0 5 3 1 1 0 9.5 1 5 3 0 5.5 1 1 2 0 52.25 4 5 1 0 10 0 4 2 0 12 0 5 2 0 1 0 1 1 0 12 5 5 1 0 4 1 5 1 2 22 3 5 1 0 2 0 5 1 0 11 1 5 2 0 11 2 4 3 0 9 2 5 3 0 10 0 5 1 0 2.33 0 5 3 0 6 0 4 3 0 16 1 1 1 2 3.25 0 2 1 0 27 2 1 1 0 1.91 2 2 2 0 31.91 3 5 1 0 6 1 5 3 0 14 1 5 1 0 4 0 5 3 1 0.58 1 1 2 1 7 4 5 1 0 21 4 5 2 0 24 4 1 3 0 6 4 1 1 1 34 0 5 2 0 4 0 5 1 0 26 0 5 2 0 23 1 5 1 0 3 0 5 1 0 2.5 0 3 1 0 5 2 5 1 0 1 0 5 1 2 1 1 5 1 0 11 0 2 1 0 1.25 1 5 1 0 5 0 1 1 0 1.5 0 Page A16 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 68 26 1 33.7 25 16 0 69 34 1 27.9 9 16 0 70 37 1 31.6 12 16 0 71 42 1 27.0 7 16 0 72 44 1 27.7 14 16 0 73 47 1 37.6 9 18 1 74 52 1 46.3 7 19 1 75 55 1 39.8 23 17 0 76 70 1 51.3 13 16 1 77 72 1 29.8 12 14 0 78 83 1 49.8 42 15 1 79 84 1 47.2 19 16 0 80 85 1 64.6 30 16 1 81 90 1 74.5 21 20 1 82 105 1 39.2 18 18 1 83 118 1 68.0 34 20 0 84 120 1 61.8 27 17 1 85 133 1 54.4 28 19 1 86 151 1 37.0 15 19 0 87 154 1 38.6 6 17 1 88 169 1 67.8 22 20 1 89 177 1 45.5 13 12 1 90 178 1 58.6 15 20 1 91 180 1 50.1 25 15 1 92 181 1 61.4 29 18 1 93 182 1 39.9 38 18 1 94 184 1 36.4 40 10 1 95 188 1 47.9 30 18 0 96 210 1 63.8 38 18 1 97 219 1 37.9 20 16 0 98 224 1 30.4 4 16 0 99 225 1 47.7 24 20 0 100 238 1 31.1 10 13 1 101 240 1 39.3 11 12 1 102 242 1 42.2 14 18 0 103 244 1 38.1 20 16 0 104 256 1 38.6 14 20 0 105 264 1 35.5 21 16 0 106 271 1 28.1 24 18 0 107 272 1 60.9 14 12 1 108 278 1 37.0 23 13 0 109 283 1 36.0 10 18 0 110 286 1 33.4 9 16 0 111 299 1 29.5 27 18 1 112 305 1 30.4 27 16 1 113 308 1 53.4 25 19 0 114 309 1 48.5 18 14 1 115 313 1 40.4 33 18 1 116 314 1 43.4 14 16 0 117 316 1 77.0 35 19 1 118 317 1 43.7 32 16 0 119 318 1 49.4 19 14 1 120 320 1 101.9 35 16 1 121 327 1 37.9 27 18 1 122 332 1 47.7 26 15 1 123 341 1 32.7 12 16 0 124 345 1 35.4 19 18 0 125 354 1 36.6 9 16 0 126 364 1 38.0 26 18 1 127 366 1 51.1 45 20 1 128 376 1 39.7 7 17 0 129 381 1 33.9 28 19 0 130 387 1 33.6 16 16 0 131 396 1 27.9 10 19 0 132 8 2 28.0 10 13 0 133 12 2 86.6 30 13 1 134 22 2 43.3 17 10 1 135 28 2 52.7 18 15 1 136 36 2 36.3 23 13 1 137 63 2 66.7 27 14 1 7 AGE 42 44 33 28 33 31 33 40 35 33 59 36 52 38 39 50 44 48 47 28 39 30 31 41 46 57 58 47 55 37 26 41 27 28 32 39 31 45 41 31 40 26 26 43 44 49 39 50 57 53 52 38 63 38 43 38 36 24 43 63 27 44 32 28 25 49 33 35 40 47 8 Work HRS 40 40 32 40 40 40 45 40 40 40 35 40 40 45 32 40 35 55 41 50 60 40 60 50 55 49 40 40 75 35 45 35 57 60 40 40 45 50 40 45 51 40 40 54 40 28 40 40 34 50 60 52 45 60 60 40 60 56 56 50 50 40 40 40 40 55 30 40 40 72 9 No EARN 3 3 2 1 1 1 1 1 1 3 2 1 2 1 3 2 3 4 1 2 2 1 2 3 2 3 1 1 2 1 1 2 2 2 1 2 1 2 2 1 2 1 1 1 1 1 1 1 4 4 2 1 4 1 2 1 4 2 2 2 2 2 2 1 3 2 2 2 3 1 10 Fam Inc 51.2 34.2 46.6 20.0 19.3 29.4 37.4 44.1 41.3 62.5 69.0 38.8 56.7 65.7 62.6 98.7 61.6 66.8 36.3 31.1 78.6 35.5 51.2 45.1 90.4 34.6 26.4 37.9 74.3 35.2 53.9 61.6 28.3 44.0 32.2 68.7 28.6 70.4 47.1 55.1 29.7 26.0 29.0 24.6 20.4 45.3 38.5 30.4 88.0 70.1 51.4 59.9 98.3 42.7 70.8 22.7 51.2 39.2 36.7 60.7 61.6 42.0 43.9 17.9 49.5 93.5 42.8 51.8 29.9 59.5 11 Job Sat 1 1 1 1 1 2 2 4 2 2 1 2 4 1 1 2 2 2 4 2 1 1 1 2 1 2 1 3 3 2 2 1 2 3 1 2 2 2 1 1 1 1 1 2 1 1 1 1 2 2 1 1 1 2 2 1 2 2 3 1 1 1 1 1 2 3 3 1 1 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 1 1 1 5.5 0 1 3 0 5.5 0 5 3 0 2.58 0 5 1 0 12.33 1 5 2 0 3 0 5 1 0 4 0 5 1 0 4 1 5 3 0 4.5 0 5 1 0 6.41 3 1 1 1 2 1 5 1 0 6 0 4 2 0 12.5 1 5 1 0 21 1 5 3 0 4 2 3 2 0 2 0 3 3 0 8 0 5 3 0 22 0 4 3 0 5.66 0 1 1 0 1 0 5 1 0 4.58 2 5 1 0 17 2 1 1 0 1.5 0 5 1 0 3 1 4 1 0 6 2 5 2 0 7 4 5 1 0 34 0 1 2 0 3.91 0 3 1 0 2 0 4 3 4 29 2 1 1 0 14 0 1 1 0 4 0 3 2 0 17 0 5 1 0 0.33 1 5 1 0 5.5 5 5 1 0 5 0 3 1 1 5 1 5 2 0 1 0 1 1 0 20 3 5 1 0 0.25 0 1 1 0 0.66 0 5 1 0 17 0 5 1 0 1 0 5 1 0 8 3 2 3 1 13 2 5 1 0 2 0 5 1 0 1 3 5 1 1 10 1 3 2 0 23 3 3 1 0 11 0 5 1 0 11 0 4 1 0 18 0 5 1 0 1.5 1 5 2 0 32 0 5 1 0 12 0 1 1 0 17 0 4 1 0 10 1 5 1 0 10 0 4 1 1 2 0 1 1 0 5.5 0 5 2 1 25 2 5 1 3 1 0 5 1 0 3.58 0 4 1 0 3 0 5 1 0 2 1 5 3 1 1.5 0 1 1 0 5 0 5 1 0 5 0 5 1 0 0.5 0 1 1 0 10 1 1 1 0 5 0 Page A17 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 138 65 2 27.0 13 10 0 139 73 2 60.0 32 12 1 140 79 2 49.0 30 12 1 141 81 2 42.3 11 13 1 142 86 2 28.8 24 14 0 143 97 2 49.2 8 15 1 144 104 2 25.0 14 12 1 145 107 2 30.0 8 10 1 146 117 2 46.3 10 12 1 147 132 2 52.5 27 8 1 148 139 2 52.3 16 12 1 149 148 2 31.7 15 11 1 150 153 2 40.4 14 12 1 151 157 2 40.9 33 12 1 152 179 2 54.8 18 13 1 153 185 2 40.8 25 13 1 154 211 2 36.4 54 12 1 155 216 2 32.8 7 12 1 156 228 2 36.8 20 12 1 157 243 2 53.6 22 15 1 158 247 2 25.3 34 13 1 159 259 2 28.1 5 12 0 160 266 2 41.9 34 16 1 161 268 2 26.2 13 13 1 162 273 2 36.1 22 14 1 163 281 2 36.6 20 12 1 164 289 2 49.2 20 14 1 165 297 2 61.2 37 14 1 166 310 2 46.6 21 14 1 167 323 2 53.6 27 12 1 168 329 2 35.0 35 12 1 169 331 2 52.7 35 12 1 170 335 2 42.5 42 12 1 171 337 2 57.2 16 14 1 172 342 2 23.2 10 14 1 173 343 2 32.5 35 11 0 174 351 2 31.8 44 12 1 175 352 2 56.9 25 12 1 176 367 2 41.2 16 12 1 177 369 2 32.0 4 12 0 178 371 2 22.6 18 14 1 179 372 2 25.2 10 12 1 180 373 2 25.8 27 14 1 181 374 2 31.3 24 11 1 182 379 2 25.3 4 12 0 183 380 2 43.9 28 12 1 184 395 2 62.8 15 12 1 185 397 2 51.1 26 12 1 186 2 3 35.2 15 12 0 187 14 3 25.8 20 14 0 188 19 3 43.1 7 16 1 189 21 3 34.3 7 12 0 190 29 3 24.7 15 16 1 191 31 3 34.1 33 14 0 192 40 3 25.4 16 12 1 193 50 3 29.3 10 13 0 194 58 3 32.5 10 12 1 195 77 3 31.7 15 12 0 196 82 3 27.9 17 14 1 197 94 3 30.6 20 14 0 198 98 3 29.7 27 12 0 199 99 3 37.1 21 13 0 200 100 3 27.8 20 12 0 201 108 3 33.1 25 16 0 202 109 3 36.8 18 13 1 203 110 3 29.3 8 12 0 204 112 3 26.7 20 12 0 205 113 3 25.9 9 12 0 206 114 3 35.8 45 12 0 207 115 3 33.9 10 13 1 7 AGE 40 48 53 30 40 29 32 25 26 44 34 33 31 51 37 49 60 24 38 40 56 21 51 29 40 38 36 54 41 44 52 55 53 32 28 52 51 42 33 21 36 28 43 44 25 47 35 42 33 50 25 24 35 50 32 26 27 53 27 52 43 39 40 42 37 28 37 35 63 29 8 Work HRS 40 40 40 40 50 50 42 40 44 40 52 40 60 67 60 40 68 50 40 46 40 72 40 60 40 40 40 50 40 40 40 44 40 40 75 50 60 50 84 40 50 70 40 34 48 40 60 45 50 40 40 49 40 42 40 40 40 40 40 40 40 36 45 36 40 50 40 43 35 41 9 No EARN 2 3 2 2 2 1 1 1 1 1 1 1 1 3 1 2 1 2 2 1 1 4 1 2 1 2 1 2 1 2 2 3 4 2 1 1 2 2 1 2 2 1 1 1 1 2 1 2 1 1 1 2 2 3 1 1 3 1 2 1 2 3 1 1 4 1 2 1 1 2 10 Fam Inc 19.3 54.1 43.9 39.3 57.4 63.6 15.0 20.0 36.3 49.2 42.3 39.2 32.4 47.4 45.5 58.7 35.4 34.5 34.1 51.4 15.3 77.9 33.5 41.2 26.1 29.6 39.8 66.7 39.4 61.2 34.6 46.9 46.5 49.3 14.5 22.5 35.1 50.9 31.2 35.6 19.8 15.2 15.9 21.3 15.3 41.1 52.8 44.6 25.2 17.4 33.1 27.4 46.9 69.6 15.4 19.6 32.5 35.7 46.5 47.3 57.8 31.2 17.8 34.2 34.0 19.3 26.5 15.9 38.7 43.0 11 Job Sat 2 2 2 2 1 1 3 3 2 2 2 2 2 1 2 4 1 2 2 1 1 1 2 1 2 1 1 1 2 1 1 2 1 2 2 1 3 1 1 2 2 1 2 2 2 2 3 2 1 3 4 3 2 2 1 2 1 2 2 2 1 2 1 4 3 2 2 1 1 2 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 3 0 4 0 4 3 2 21 4 5 1 0 0.08 0 5 1 0 10 2 5 3 0 1.5 1 4 2 0 1 0 4 3 0 1 0 4 3 0 2 3 1 1 0 2.5 0 4 3 0 11 1 5 1 0 13 2 5 1 0 1 2 5 2 0 12.5 3 4 3 1 32.33 0 5 2 0 3 0 5 2 0 6 0 1 1 0 10 4 5 1 0 3 0 5 2 0 7 0 5 1 0 18 6 5 1 0 1.83 0 1 1 0 1.08 0 5 3 0 6 1 1 3 0 5 1 5 2 0 15 1 1 1 0 11 3 2 1 0 18 2 5 1 0 5 0 5 2 0 11 1 3 1 0 20 4 5 1 0 27 0 5 1 0 14 0 5 2 0 22 0 5 1 0 1 0 4 1 0 3 0 5 1 0 19.16 0 5 1 0 8 0 5 2 0 14 0 1 2 0 13.91 3 1 2 0 1.25 3 2 2 0 9.66 5 1 2 0 9.66 2 5 3 0 18.16 7 4 2 0 4 0 4 1 1 2 0 1 1 0 19 1 1 3 0 3 2 5 3 0 19.25 0 1 2 0 4 3 1 1 0 10 0 5 3 0 1 1 4 2 0 5 1 5 2 3 0.75 2 5 1 0 3.5 1 1 2 0 0.16 0 3 1 0 4 5 5 1 0 5 0 5 2 0 12.5 1 5 1 2 0.5 0 5 1 0 3 1 5 1 0 9.41 1 5 1 0 16 0 1 1 0 0.5 0 5 2 0 12 1 4 1 0 16 0 1 1 0 3 0 1 1 0 10 0 5 1 0 1.5 1 2 3 0 22 1 4 3 0 3 2 Page A18 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 208 126 3 30.0 15 12 0 209 134 3 60.5 20 16 1 210 137 3 26.2 10 12 0 211 140 3 44.6 10 16 0 212 150 3 32.7 13 15 0 213 163 3 30.0 25 13 0 214 166 3 29.7 15 12 0 215 176 3 30.5 20 12 0 216 187 3 28.9 12 12 0 217 198 3 23.2 22 12 0 218 200 3 48.7 8 12 0 219 207 3 26.3 24 12 1 220 212 3 24.4 6 16 0 221 213 3 23.4 26 12 0 222 218 3 25.3 17 13 0 223 220 3 25.5 21 14 0 224 222 3 55.8 24 12 1 225 233 3 29.3 16 9 1 226 236 3 72.8 19 12 0 227 249 3 27.8 10 15 0 228 250 3 25.4 15 14 0 229 252 3 25.0 11 12 0 230 254 3 62.7 31 14 1 231 269 3 50.7 24 18 0 232 280 3 27.1 15 13 0 233 300 3 27.7 20 13 0 234 307 3 25.3 3 12 0 235 312 3 28.1 22 13 0 236 315 3 56.6 32 12 1 237 350 3 32.5 25 12 0 238 359 3 25.0 6 12 0 239 360 3 34.2 30 12 0 240 385 3 29.3 18 12 1 241 390 3 31.9 21 12 0 242 400 3 25.5 34 12 0 243 450 3 46.1 36 16 0 244 500 3 28.1 4 14 0 245 550 3 25.6 24 14 0 246 600 3 37.3 20 12 0 247 650 3 24.2 20 17 0 248 700 3 33.2 37 13 0 249 750 3 20.3 20 13 0 250 800 3 26.8 27 12 0 251 1 4 35.7 25 14 0 252 15 4 37.5 31 4 1 253 20 4 20.5 3 11 1 254 43 4 21.5 1 12 1 255 66 4 26.5 27 12 1 256 69 4 20.2 34 9 1 257 71 4 64.2 26 12 1 258 80 4 40.9 37 14 1 259 87 4 49.6 8 17 1 260 101 4 24.6 20 12 0 261 116 4 28.9 16 14 1 262 128 4 47.3 10 14 1 263 129 4 26.7 20 12 0 264 141 4 32.5 6 12 1 265 144 4 24.9 9 15 1 266 158 4 45.1 31 12 1 267 159 4 23.9 10 14 0 268 162 4 36.7 19 16 1 269 167 4 55.3 14 12 1 270 168 4 44.0 12 12 1 271 171 4 55.3 30 16 1 272 183 4 33.7 40 8 1 273 192 4 41.2 21 14 1 274 194 4 26.4 13 12 1 275 195 4 36.1 13 10 1 276 199 4 21.9 35 14 0 277 209 4 41.4 41 8 1 7 AGE 42 37 35 27 29 61 32 55 29 38 32 41 29 42 38 47 41 33 36 27 37 32 48 44 41 40 20 65 48 61 23 55 35 31 56 56 30 42 38 38 58 57 69 64 49 20 18 27 53 43 43 29 49 33 27 48 23 26 48 30 35 32 33 47 61 38 30 29 55 58 8 Work HRS 40 50 40 40 42 40 40 40 32 40 40 72 40 40 35 60 45 56 40 45 40 40 80 40 40 45 40 40 40 40 44 50 40 47 40 40 48 37 40 37 32 32 29 30 40 50 45 30 35 48 40 59 40 50 65 40 46 38 44 37 48 52 40 52 32 60 42 40 40 65 9 No EARN 2 2 2 2 2 1 2 1 2 2 1 1 3 1 1 3 1 1 1 1 1 2 2 2 2 3 2 1 4 1 2 2 2 3 2 1 2 1 4 1 1 2 1 2 1 2 5 1 1 2 1 2 4 2 2 3 2 2 2 2 2 1 2 1 2 2 1 2 2 3 10 Fam Inc 23.0 59.2 43.4 69.3 43.1 20.0 38.9 20.5 21.9 16.7 38.7 16.3 28.3 29.7 15.3 68.7 49.4 23.2 63.4 17.8 15.4 25.4 56.1 49.2 32.4 31.4 27.1 18.2 71.0 22.5 37.3 27.9 45.0 40.2 44.5 36.9 41.8 16.4 72.6 49.2 23.2 42.5 16.8 81.9 27.6 14.3 55.5 17.0 15.6 67.9 30.9 46.6 82.5 22.4 39.7 46.8 25.3 39.1 63.2 43.4 46.6 45.3 46.4 46.0 26.6 50.0 17.3 28.6 24.0 42.3 11 Job Sat 1 2 2 1 2 1 2 2 1 2 2 1 3 1 1 4 1 1 1 1 1 2 4 3 2 2 1 1 1 1 3 2 2 1 2 1 2 4 1 2 2 2 1 1 2 1 3 2 1 1 1 1 2 2 2 2 2 1 2 2 2 1 3 2 2 2 3 2 1 2 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 2 3 0 7.08 0 5 1 0 8.5 2 1 1 0 2.5 3 5 1 0 5 4 2 3 0 4.33 0 1 2 0 18.33 0 5 1 1 11.58 3 1 2 0 15 2 5 1 0 3 1 5 1 1 1 0 1 1 0 6 0 5 3 1 18 0 1 1 0 3 0 4 1 0 1.08 1 5 1 1 4 1 5 3 0 1 0 5 1 0 8 4 4 1 0 4.5 0 4 1 0 2.16 0 5 3 0 2 0 1 1 1 15 3 3 1 0 10 0 1 3 0 9 1 1 2 0 22 0 5 1 0 4 0 5 1 0 7 1 4 1 0 1.5 0 5 1 0 13 1 5 1 0 25 1 5 3 0 17 1 2 1 0 2.5 0 1 2 0 30 3 1 1 0 8 0 1 1 0 10 0 5 1 0 21 0 1 1 0 30 3 1 2 1 1 1 1 2 0 2 0 4 1 0 10.5 4 5 1 0 5 0 5 2 1 5 0 1 2 1 3 0 5 1 0 25 3 3 2 0 11 0 3 2 1 22.08 0 1 1 0 1 3 1 1 0 1 0 5 1 2 0.5 0 5 1 1 5 0 1 1 0 11 2 5 3 0 2 0 1 2 0 2.83 0 1 1 0 4 0 5 2 1 1 0 1 1 1 2 0 5 1 0 9 0 5 1 1 1.41 0 5 1 5 0.5 1 2 3 0 24.75 2 5 1 0 4 0 1 1 0 12 1 5 1 0 13 3 5 1 1 11 0 5 3 0 8 0 5 1 1 40 0 5 1 0 15 2 5 2 1 1.5 0 2 3 0 0.25 0 5 1 1 29.5 1 2 1 0 3 0 Page A19 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 278 215 4 22.0 19 14 1 279 223 4 39.5 21 15 1 280 227 4 35.9 11 12 1 281 232 4 23.1 20 12 1 282 234 4 21.1 4 12 0 283 241 4 29.3 30 8 1 284 253 4 40.3 25 13 1 285 262 4 35.2 16 11 1 286 263 4 31.4 22 12 1 287 265 4 26.1 33 10 1 288 279 4 43.0 35 8 1 289 292 4 37.5 29 12 1 290 302 4 52.8 38 14 1 291 304 4 30.5 27 16 0 292 306 4 28.2 45 11 0 293 324 4 32.5 12 12 1 294 326 4 41.8 45 8 1 295 330 4 46.9 21 12 1 296 334 4 35.7 11 11 0 297 336 4 31.6 12 16 0 298 340 4 24.7 8 12 0 299 344 4 33.3 22 12 1 300 348 4 41.1 4 14 1 301 353 4 23.7 10 13 1 302 355 4 61.9 16 12 0 303 356 4 28.7 20 14 0 304 357 4 20.8 10 12 0 305 362 4 24.9 27 12 1 306 375 4 27.6 8 12 1 307 382 4 25.4 6 12 0 308 383 4 32.6 32 10 1 309 384 4 41.4 24 11 1 310 386 4 21.8 25 12 0 311 388 4 23.3 16 12 1 312 389 4 20.1 13 12 0 313 392 4 58.4 15 14 1 314 399 4 46.3 16 12 1 315 25 5 54.7 13 16 0 316 403 5 88.3 14 20 1 317 404 5 50.5 12 15 1 318 410 5 48.4 15 16 1 319 418 5 36.6 43 16 1 320 430 5 41.3 18 12 0 321 438 5 58.7 19 19 1 322 441 5 63.7 42 14 1 323 446 5 85.6 23 18 1 324 448 5 42.8 22 17 0 325 451 5 60.1 20 17 0 326 453 5 40.3 16 18 1 327 456 5 42.2 2 16 1 328 459 5 30.1 18 17 1 329 461 5 60.6 36 16 1 330 462 5 32.5 23 13 0 331 464 5 25.5 5 11 0 332 467 5 53.3 18 15 1 333 475 5 26.0 6 16 0 334 478 5 33.6 11 16 1 335 489 5 35.2 20 12 0 336 491 5 38.6 21 13 0 337 492 5 71.7 25 16 0 338 493 5 45.1 12 16 0 339 523 5 34.8 14 16 0 340 525 5 38.5 17 12 0 341 538 5 52.6 12 16 1 342 542 5 57.1 45 11 1 343 547 5 31.2 20 12 0 344 570 5 43.3 20 20 0 345 573 5 24.7 7 16 1 346 589 5 57.7 15 12 1 347 591 5 42.4 11 20 1 7 AGE 35 38 29 42 21 46 44 35 41 54 52 45 54 48 57 30 62 38 36 28 27 39 27 30 33 39 37 43 25 26 47 41 41 34 31 32 35 26 35 33 35 59 34 38 58 39 48 29 36 25 40 53 39 27 35 23 29 36 64 43 28 44 36 34 62 39 58 24 32 34 8 Work HRS 48 60 45 40 55 40 50 40 45 40 40 50 50 35 40 50 40 48 48 60 32 50 50 40 48 40 40 56 63 40 40 65 40 40 40 80 40 40 50 40 30 40 48 50 48 40 40 40 32 40 40 50 46 40 50 40 55 45 43 55 46 40 60 43 50 40 45 50 60 55 9 No EARN 2 2 2 2 4 4 2 1 1 3 1 2 1 1 2 1 1 2 2 2 2 1 1 1 2 2 2 2 2 2 2 3 4 1 2 2 2 2 2 2 1 1 2 2 2 1 1 1 2 2 2 3 2 2 1 1 1 1 1 2 1 3 3 1 1 1 2 2 2 1 10 Fam Inc 15.8 49.7 33.5 25.8 35.7 24.0 37.7 28.4 21.4 26.4 33.2 47.6 42.8 20.9 30.1 22.5 32.0 51.7 47.5 40.0 22.0 23.3 31.1 14.6 58.3 38.3 24.1 18.0 30.8 39.9 47.5 48.8 28.2 14.5 59.7 67.9 43.1 65.3 85.3 85.6 38.4 35.4 67.7 68.0 56.5 91.8 33.5 50.1 71.3 43.2 35.1 75.1 50.3 30.4 43.3 16.9 34.8 25.9 35.2 78.8 38.3 48.2 59.0 42.6 47.1 21.2 35.5 25.3 69.7 32.4 11 Job Sat 2 1 2 1 1 2 2 2 1 1 4 1 2 2 2 3 1 2 2 1 2 2 2 2 2 2 3 2 1 2 1 2 2 2 2 1 2 1 2 2 2 2 1 1 2 1 2 1 4 1 2 2 1 4 1 1 2 3 1 1 2 1 4 1 1 2 1 2 2 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 2 1 0 7 1 1 3 0 4 1 1 1 0 3 0 1 1 0 12.83 0 5 1 0 2 0 1 1 1 2 0 1 1 1 15 0 1 3 0 13 0 1 1 0 0.25 0 2 2 0 33 2 3 1 1 20 2 1 1 0 17 2 5 1 0 27 2 5 3 0 3 0 1 1 0 15 2 5 1 0 8 2 5 2 0 17 0 4 1 1 18 1 5 2 0 10 0 5 1 0 7 0 4 1 0 5 1 5 3 0 3.41 2 5 3 0 3 0 5 3 0 8 0 5 3 0 14 1 1 1 0 20 2 1 2 0 2.66 0 5 1 0 0.25 0 1 1 0 4 1 1 1 0 5 1 5 1 0 10 1 1 3 0 5 1 4 1 0 16 0 1 2 0 13 0 1 1 0 2.5 0 5 1 0 6 2 4 3 0 16 4 4 1 0 3.5 1 4 1 0 3 0 3 1 0 9 2 1 2 0 3 2 5 1 1 1.5 1 3 1 0 3 0 4 1 0 15 4 4 3 0 36 4 5 2 1 3 0 5 1 0 6 2 5 1 0 16 0 5 2 0 4.08 1 4 1 0 2 0 1 1 0 11.83 4 1 3 0 10 0 5 1 0 1 0 2 2 1 2 2 1 1 1 10 0 2 1 0 0.75 0 5 1 0 1 1 1 1 0 10 1 4 1 0 7 1 5 1 0 18 2 5 1 0 0.16 0 1 1 0 5 3 1 1 0 9.5 1 5 3 0 5.5 1 1 2 0 52.25 4 5 1 0 10 0 4 2 0 12 0 5 2 0 1 0 1 1 0 12 5 5 1 0 4 1 Page A20 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 348 593 5 36.7 26 12 0 349 597 5 52.3 18 16 1 350 603 5 33.0 16 12 0 351 606 5 69.3 18 12 1 352 617 5 40.7 22 16 1 353 629 5 51.2 11 15 1 354 637 5 35.2 22 16 0 355 651 5 35.9 19 14 0 356 655 5 55.7 17 16 1 357 657 5 26.2 20 16 1 358 658 5 54.7 45 15 1 359 660 5 65.0 45 14 1 360 667 5 60.4 35 14 1 361 670 5 64.9 20 16 1 362 675 5 37.6 28 12 0 363 676 5 33.9 26 19 0 364 685 5 31.3 28 12 1 365 687 5 51.2 16 14 1 366 691 5 38.1 25 13 0 367 694 5 49.6 30 13 0 368 695 5 40.2 6 16 0 369 698 5 86.4 38 12 1 370 701 5 39.4 25 16 0 371 703 5 24.7 26 13 1 372 721 5 43.7 25 16 0 373 722 5 26.6 5 15 0 374 733 5 62.6 8 14 1 375 761 5 27.5 27 16 1 376 763 5 29.9 14 16 0 377 777 5 48.5 6 12 1 378 778 5 45.7 17 12 0 379 798 5 24.5 2 13 1 380 409 6 70.8 15 18 1 381 411 6 41.0 13 12 0 382 426 6 33.7 25 16 0 383 434 6 27.9 9 16 0 384 437 6 31.6 12 16 0 385 442 6 27.0 7 16 0 386 444 6 27.7 14 16 0 387 447 6 37.6 9 18 1 388 452 6 46.3 7 19 1 389 455 6 39.8 23 17 0 390 470 6 51.3 13 16 1 391 472 6 29.8 12 14 0 392 483 6 49.8 42 15 1 393 484 6 47.2 19 16 0 394 485 6 64.6 30 16 1 395 490 6 74.5 21 20 1 396 505 6 39.2 18 18 1 397 518 6 68.0 34 20 0 398 520 6 61.8 27 17 1 399 533 6 54.4 28 19 1 400 551 6 37.0 15 19 0 401 554 6 38.6 6 17 1 402 569 6 67.8 22 20 1 403 577 6 45.5 13 12 1 404 578 6 58.6 15 20 1 405 580 6 50.1 25 15 1 406 581 6 61.4 29 18 1 407 582 6 39.9 38 18 1 408 584 6 36.4 40 10 1 409 588 6 47.9 30 18 0 410 610 6 63.8 38 18 1 411 619 6 37.9 20 16 0 412 624 6 30.4 4 16 0 413 625 6 47.7 24 20 0 414 638 6 31.1 10 13 1 415 640 6 39.3 11 12 1 416 642 6 42.2 14 18 0 417 644 6 38.1 20 16 0 7 AGE 42 40 32 39 39 33 41 36 39 39 62 62 52 40 43 41 45 33 45 51 38 57 45 43 51 43 25 43 50 22 33 22 39 35 42 44 33 28 33 31 33 40 35 33 59 36 52 38 39 50 44 48 47 28 39 30 31 41 46 57 58 47 55 37 26 41 27 28 32 39 8 Work HRS 60 70 55 50 45 40 50 65 40 60 40 40 40 50 46 40 40 55 36 40 40 32 40 40 40 38 73 55 38 65 36 40 50 32 40 40 32 40 40 40 45 40 40 40 35 40 40 45 32 40 35 55 41 50 60 40 60 50 55 49 40 40 75 35 45 35 57 60 40 40 9 No EARN 3 1 2 2 1 1 1 1 2 1 2 3 1 2 1 2 1 1 2 2 2 2 4 2 2 4 1 3 3 2 1 3 1 1 3 3 2 1 1 1 1 1 1 3 2 1 2 1 3 2 3 4 1 2 2 1 2 3 2 3 1 1 2 1 1 2 2 2 1 2 10 Fam Inc 38.2 42.3 32.2 74.0 34.1 41.2 26.9 26.6 68.5 16.8 49.4 85.4 53.7 82.7 27.6 55.3 44.1 48.8 60.3 85.9 90.5 94.2 53.3 23.3 66.1 67.6 54.4 55.7 54.1 41.4 35.7 31.1 60.8 33.5 51.2 34.2 46.6 20.0 19.3 29.4 37.4 44.1 41.3 62.5 69.0 38.8 56.7 65.7 62.6 98.7 61.6 66.8 36.3 31.1 78.6 35.5 51.2 45.1 90.4 34.6 26.4 37.9 74.3 35.2 53.9 61.6 28.3 44.0 32.2 68.7 11 Job Sat 2 1 2 1 3 2 1 1 2 1 1 1 1 3 2 2 2 2 2 1 1 1 1 1 2 4 1 2 1 1 1 2 2 1 1 1 1 1 1 2 2 4 2 2 1 2 4 1 1 2 2 2 4 2 1 1 1 2 1 2 1 3 3 2 2 1 2 3 1 2 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 1 2 22 3 5 1 0 2 0 5 1 0 11 1 5 2 0 11 2 4 3 0 9 2 5 3 0 10 0 5 1 0 2.33 0 5 3 0 6 0 4 3 0 16 1 1 1 2 3.25 0 2 1 0 27 2 1 1 0 1.91 2 2 2 0 31.91 3 5 1 0 6 1 5 3 0 14 1 5 1 0 4 0 5 3 1 0.58 1 1 2 1 7 4 5 1 0 21 4 5 2 0 24 4 1 3 0 6 4 1 1 1 34 0 5 2 0 4 0 5 1 0 26 0 5 2 0 23 1 5 1 0 3 0 5 1 0 2.5 0 3 1 0 5 2 5 1 0 1 0 5 1 2 1 1 5 1 0 11 0 2 1 0 1.25 1 5 1 0 5 0 1 1 0 1.5 0 1 1 1 5.5 0 1 3 0 5.5 0 5 3 0 2.58 0 5 1 0 12.33 1 5 2 0 3 0 5 1 0 4 0 5 1 0 4 1 5 3 0 4.5 0 5 1 0 6.41 3 1 1 1 2 1 5 1 0 6 0 4 2 0 12.5 1 5 1 0 21 1 5 3 0 4 2 3 2 0 2 0 3 3 0 8 0 5 3 0 22 0 4 3 0 5.66 0 1 1 0 1 0 5 1 0 4.58 2 5 1 0 17 2 1 1 0 1.5 0 5 1 0 3 1 4 1 0 6 2 5 2 0 7 4 5 1 0 34 0 1 2 0 3.91 0 3 1 0 2 0 4 3 4 29 2 1 1 0 14 0 1 1 0 4 0 3 2 0 17 0 5 1 0 0.33 1 5 1 0 5.5 5 5 1 0 5 0 3 1 1 5 1 Page A21 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 418 656 6 38.6 14 20 0 419 664 6 35.5 21 16 0 420 671 6 28.1 24 18 0 421 672 6 60.9 14 12 1 422 678 6 37.0 23 13 0 423 683 6 36.0 10 18 0 424 686 6 33.4 9 16 0 425 699 6 29.5 27 18 1 426 705 6 30.4 27 16 1 427 708 6 53.4 25 19 0 428 709 6 48.5 18 14 1 429 713 6 40.4 33 18 1 430 714 6 43.4 14 16 0 431 716 6 77.0 35 19 1 432 717 6 43.7 32 16 0 433 718 6 49.4 19 14 1 434 720 6 101.9 35 16 1 435 727 6 37.9 27 18 1 436 732 6 47.7 26 15 1 437 741 6 32.7 12 16 0 438 745 6 35.4 19 18 0 439 754 6 36.6 9 16 0 440 764 6 38.0 26 18 1 441 766 6 51.1 45 20 1 442 776 6 39.7 7 17 0 443 781 6 33.9 28 19 0 444 787 6 33.6 16 16 0 445 796 6 27.9 10 19 0 446 408 7 28.0 10 13 0 447 412 7 86.6 30 13 1 448 422 7 43.3 17 10 1 449 428 7 52.7 18 15 1 450 436 7 36.3 23 13 1 451 463 7 66.7 27 14 1 452 465 7 27.0 13 10 0 453 473 7 60.0 32 12 1 454 479 7 49.0 30 12 1 455 481 7 42.3 11 13 1 456 486 7 28.8 24 14 0 457 497 7 49.2 8 15 1 458 504 7 25.0 14 12 1 459 507 7 30.0 8 10 1 460 517 7 46.3 10 12 1 461 532 7 52.5 27 8 1 462 539 7 52.3 16 12 1 463 548 7 31.7 15 11 1 464 553 7 40.4 14 12 1 465 557 7 40.9 33 12 1 466 579 7 54.8 18 13 1 467 585 7 40.8 25 13 1 468 611 7 36.4 54 12 1 469 616 7 32.8 7 12 1 470 628 7 36.8 20 12 1 471 643 7 53.6 22 15 1 472 647 7 25.3 34 13 1 473 659 7 28.1 5 12 0 474 666 7 41.9 34 16 1 475 668 7 26.2 13 13 1 476 673 7 36.1 22 14 1 477 681 7 36.6 20 12 1 478 689 7 49.2 20 14 1 479 697 7 61.2 37 14 1 480 710 7 46.6 21 14 1 481 723 7 53.6 27 12 1 482 729 7 35.0 35 12 1 483 731 7 52.7 35 12 1 484 735 7 42.5 42 12 1 485 737 7 57.2 16 14 1 486 742 7 23.2 10 14 1 487 743 7 32.5 35 11 0 7 AGE 31 45 41 31 40 26 26 43 44 49 39 50 57 53 52 38 63 38 43 38 36 24 43 63 27 44 32 28 25 49 33 35 40 47 40 48 53 30 40 29 32 25 26 44 34 33 31 51 37 49 60 24 38 40 56 21 51 29 40 38 36 54 41 44 52 55 53 32 28 52 8 Work HRS 45 50 40 45 51 40 40 54 40 28 40 40 34 50 60 52 45 60 60 40 60 56 56 50 50 40 40 40 40 55 30 40 40 72 40 40 40 40 50 50 42 40 44 40 52 40 60 67 60 40 68 50 40 46 40 72 40 60 40 40 40 50 40 40 40 44 40 40 75 50 9 No EARN 1 2 2 1 2 1 1 1 1 1 1 1 4 4 2 1 4 1 2 1 4 2 2 2 2 2 2 1 3 2 2 2 3 1 2 3 2 2 2 1 1 1 1 1 1 1 1 3 1 2 1 2 2 1 1 4 1 2 1 2 1 2 1 2 2 3 4 2 1 1 10 Fam Inc 28.6 70.4 47.1 55.1 29.7 26.0 29.0 24.6 20.4 45.3 38.5 30.4 88.0 70.1 51.4 59.9 98.3 42.7 70.8 22.7 51.2 39.2 36.7 60.7 61.6 42.0 43.9 17.9 49.5 93.5 42.8 51.8 29.9 59.5 19.3 54.1 43.9 39.3 57.4 63.6 15.0 20.0 36.3 49.2 42.3 39.2 32.4 47.4 45.5 58.7 35.4 34.5 34.1 51.4 15.3 77.9 33.5 41.2 26.1 29.6 39.8 66.7 39.4 61.2 34.6 46.9 46.5 49.3 14.5 22.5 11 Job Sat 2 2 1 1 1 1 1 2 1 1 1 1 2 2 1 1 1 2 2 1 2 2 3 1 1 1 1 1 2 3 3 1 1 1 2 2 2 2 1 1 3 3 2 2 2 2 2 1 2 4 1 2 2 1 1 1 2 1 2 1 1 1 2 1 1 2 1 2 2 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 2 0 1 0 1 1 0 20 3 5 1 0 0.25 0 1 1 0 0.66 0 5 1 0 17 0 5 1 0 1 0 5 1 0 8 3 2 3 1 13 2 5 1 0 2 0 5 1 0 1 3 5 1 1 10 1 3 2 0 23 3 3 1 0 11 0 5 1 0 11 0 4 1 0 18 0 5 1 0 1.5 1 5 2 0 32 0 5 1 0 12 0 1 1 0 17 0 4 1 0 10 1 5 1 0 10 0 4 1 1 2 0 1 1 0 5.5 0 5 2 1 25 2 5 1 3 1 0 5 1 0 3.58 0 4 1 0 3 0 5 1 0 2 1 5 3 1 1.5 0 1 1 0 5 0 5 1 0 5 0 5 1 0 0.5 0 1 1 0 10 1 1 1 0 5 0 5 3 0 4 0 4 3 2 21 4 5 1 0 0.08 0 5 1 0 10 2 5 3 0 1.5 1 4 2 0 1 0 4 3 0 1 0 4 3 0 2 3 1 1 0 2.5 0 4 3 0 11 1 5 1 0 13 2 5 1 0 1 2 5 2 0 12.5 3 4 3 1 32.33 0 5 2 0 3 0 5 2 0 6 0 1 1 0 10 4 5 1 0 3 0 5 2 0 7 0 5 1 0 18 6 5 1 0 1.83 0 1 1 0 1.08 0 5 3 0 6 1 1 3 0 5 1 5 2 0 15 1 1 1 0 11 3 2 1 0 18 2 5 1 0 5 0 5 2 0 11 1 3 1 0 20 4 5 1 0 27 0 5 1 0 14 0 5 2 0 22 0 5 1 0 1 0 4 1 0 3 0 5 1 0 19.16 0 Page A22 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 488 751 7 31.8 44 12 1 489 752 7 56.9 25 12 1 490 767 7 41.2 16 12 1 491 769 7 32.0 4 12 0 492 771 7 22.6 18 14 1 493 772 7 25.2 10 12 1 494 773 7 25.8 27 14 1 495 774 7 31.3 24 11 1 496 779 7 25.3 4 12 0 497 780 7 43.9 28 12 1 498 795 7 62.8 15 12 1 499 797 7 51.1 26 12 1 500 274 8 25.4 15 14 0 501 282 8 25.5 34 12 0 502 296 8 27.7 20 13 0 503 402 8 35.2 15 12 0 504 414 8 25.8 20 14 0 505 419 8 43.1 7 16 1 506 421 8 34.3 7 12 0 507 425 8 46.1 36 16 0 508 429 8 24.7 15 16 1 509 431 8 34.1 33 14 0 510 440 8 25.4 16 12 1 511 458 8 32.5 10 12 1 512 474 8 29.3 10 13 0 513 476 8 28.1 4 14 0 514 477 8 31.7 15 12 0 515 482 8 27.9 17 14 1 516 494 8 30.6 20 14 0 517 498 8 29.7 27 12 0 518 499 8 37.1 21 13 0 519 501 8 27.8 20 12 0 520 508 8 33.1 25 16 0 521 509 8 36.8 18 13 1 522 510 8 29.3 8 12 0 523 512 8 26.7 20 12 0 524 513 8 25.9 9 12 0 525 514 8 35.8 45 12 0 526 515 8 33.9 10 13 1 527 524 8 25.6 24 14 0 528 526 8 30.0 15 12 0 529 534 8 60.5 20 16 1 530 537 8 26.2 10 12 0 531 540 8 44.6 10 16 0 532 561 8 32.7 13 15 0 533 563 8 30.0 25 13 0 534 566 8 29.7 15 12 0 535 576 8 30.5 20 12 0 536 587 8 28.9 12 12 0 537 598 8 23.2 22 12 0 538 599 8 48.7 8 12 0 539 607 8 26.3 24 12 1 540 612 8 24.4 6 16 0 541 613 8 23.4 26 12 0 542 618 8 25.3 17 13 0 543 620 8 25.5 21 14 0 544 621 8 37.3 20 12 0 545 622 8 55.8 24 12 1 546 633 8 29.3 16 9 1 547 636 8 72.8 19 12 0 548 649 8 27.8 10 15 0 549 652 8 25.0 11 12 0 550 654 8 62.7 31 14 1 551 669 8 50.7 24 18 0 552 674 8 24.2 20 17 0 553 680 8 27.1 15 13 0 554 682 8 26.8 27 12 0 555 696 8 33.2 37 13 0 556 707 8 25.3 3 12 0 557 712 8 28.1 22 13 0 7 AGE 51 42 33 21 36 28 43 44 25 47 35 42 37 56 40 33 50 25 24 56 35 50 32 27 26 30 53 27 52 43 39 40 42 37 28 37 35 63 29 42 42 37 35 27 29 61 32 55 29 38 32 41 29 42 38 47 38 41 33 36 27 32 48 44 38 41 69 58 20 65 8 Work HRS 60 50 84 40 50 70 40 34 48 40 60 45 40 40 45 50 40 40 49 40 40 42 40 40 40 48 40 40 40 40 36 45 36 40 50 40 43 35 41 37 40 50 40 40 42 40 40 40 32 40 40 72 40 40 35 60 40 45 56 40 45 40 80 40 37 40 29 32 40 40 9 No EARN 2 2 1 2 2 1 1 1 1 2 1 2 1 2 3 1 1 1 2 1 2 3 1 3 1 2 1 2 1 2 3 1 1 4 1 2 1 1 2 1 2 2 2 2 2 1 2 1 2 2 1 1 3 1 1 3 4 1 1 1 1 2 2 2 1 2 1 1 2 1 10 Fam Inc 35.1 50.9 31.2 35.6 19.8 15.2 15.9 21.3 15.3 41.1 52.8 44.6 15.4 44.5 31.4 25.2 17.4 33.1 27.4 36.9 46.9 69.6 15.4 32.5 19.6 41.8 35.7 46.5 47.3 57.8 31.2 17.8 34.2 34.0 19.3 26.5 15.9 38.7 43.0 16.4 23.0 59.2 43.4 69.3 43.1 20.0 38.9 20.5 21.9 16.7 38.7 16.3 28.3 29.7 15.3 68.7 72.6 49.4 23.2 63.4 17.8 25.4 56.1 49.2 49.2 32.4 16.8 23.2 27.1 18.2 11 Job Sat 3 1 1 2 2 1 2 2 2 2 3 2 1 2 2 1 3 4 3 1 2 2 1 1 2 2 2 2 2 1 2 1 4 3 2 2 1 1 2 4 1 2 2 1 2 1 2 2 1 2 2 1 3 1 1 4 1 1 1 1 1 2 4 3 2 2 1 2 1 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 1 0 8 0 5 2 0 14 0 1 2 0 13.91 3 1 2 0 1.25 3 2 2 0 9.66 5 1 2 0 9.66 2 5 3 0 18.16 7 4 2 0 4 0 4 1 1 2 0 1 1 0 19 1 1 3 0 3 2 5 3 0 19.25 0 1 1 1 15 3 5 1 0 21 0 5 1 0 7 1 1 2 0 4 3 1 1 0 10 0 5 3 0 1 1 4 2 0 5 1 1 1 0 30 3 5 2 3 0.75 2 5 1 0 3.5 1 1 2 0 0.16 0 5 1 0 5 0 3 1 0 4 5 1 2 1 1 1 5 2 0 12.5 1 5 1 2 0.5 0 5 1 0 3 1 5 1 0 9.41 1 5 1 0 16 0 1 1 0 0.5 0 5 2 0 12 1 4 1 0 16 0 1 1 0 3 0 1 1 0 10 0 5 1 0 1.5 1 2 3 0 22 1 4 3 0 3 2 1 2 0 2 0 2 3 0 7.08 0 5 1 0 8.5 2 1 1 0 2.5 3 5 1 0 5 4 2 3 0 4.33 0 1 2 0 18.33 0 5 1 1 11.58 3 1 2 0 15 2 5 1 0 3 1 5 1 1 1 0 1 1 0 6 0 5 3 1 18 0 1 1 0 3 0 4 1 0 1.08 1 5 1 1 4 1 5 3 0 1 0 4 1 0 10.5 4 5 1 0 8 4 4 1 0 4.5 0 4 1 0 2.16 0 5 3 0 2 0 3 1 0 10 0 1 3 0 9 1 1 2 0 22 0 5 1 0 5 0 5 1 0 4 0 5 1 0 25 3 5 2 1 5 0 4 1 0 1.5 0 5 1 0 13 1 Page A23 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 558 715 8 56.6 32 12 1 559 756 8 32.5 25 12 0 560 759 8 25.0 6 12 0 561 760 8 34.2 30 12 0 562 785 8 29.3 18 12 1 563 790 8 31.9 21 12 0 564 791 8 20.3 20 13 0 565 76 9 24.6 20 12 0 566 221 9 21.9 35 14 0 567 391 9 28.7 20 14 0 568 401 9 35.7 25 14 0 569 415 9 37.5 31 4 1 570 420 9 20.5 3 11 1 571 443 9 21.5 1 12 1 572 466 9 26.5 27 12 1 573 469 9 20.2 34 9 1 574 471 9 64.2 26 12 1 575 480 9 40.9 37 14 1 576 487 9 49.6 8 17 1 577 516 9 28.9 16 14 1 578 528 9 47.3 10 14 1 579 529 9 26.7 20 12 0 580 541 9 32.5 6 12 1 581 544 9 24.9 9 15 1 582 558 9 45.1 31 12 1 583 559 9 23.9 10 14 0 584 562 9 36.7 19 16 1 585 567 9 55.3 14 12 1 586 568 9 44.0 12 12 1 587 571 9 55.3 30 16 1 588 583 9 33.7 40 8 1 589 592 9 41.2 21 14 1 590 594 9 26.4 13 12 1 591 595 9 36.1 13 10 1 592 609 9 41.4 41 8 1 593 615 9 22.0 19 14 1 594 623 9 39.5 21 15 1 595 627 9 35.9 11 12 1 596 632 9 23.1 20 12 1 597 634 9 21.1 4 12 0 598 641 9 29.3 30 8 1 599 653 9 40.3 25 13 1 600 662 9 35.2 16 11 1 601 663 9 31.4 22 12 1 602 665 9 26.1 33 10 1 603 679 9 43.0 35 8 1 604 692 9 37.5 29 12 1 605 702 9 52.8 38 14 1 606 704 9 30.5 27 16 0 607 706 9 28.2 45 11 0 608 724 9 32.5 12 12 1 609 726 9 41.8 45 8 1 610 730 9 46.9 21 12 1 611 734 9 35.7 11 11 0 612 736 9 31.6 12 16 0 613 740 9 24.7 8 12 0 614 744 9 33.3 22 12 1 615 748 9 41.1 4 14 1 616 753 9 23.7 10 13 1 617 755 9 61.9 16 12 0 618 757 9 20.8 10 12 0 619 762 9 24.9 27 12 1 620 775 9 27.6 8 12 1 621 782 9 25.4 6 12 0 622 783 9 32.6 32 10 1 623 784 9 41.4 24 11 1 624 786 9 21.8 25 12 0 625 788 9 23.3 16 12 1 626 789 9 20.1 13 12 0 627 792 9 58.4 15 14 1 7 AGE 48 61 23 55 35 31 57 49 55 39 64 49 20 18 27 53 43 43 29 33 27 48 23 26 48 30 35 32 33 47 61 38 30 29 58 35 38 29 42 21 46 44 35 41 54 52 45 54 48 57 30 62 38 36 28 27 39 27 30 33 37 43 25 26 47 41 41 34 31 32 8 Work HRS 40 40 44 50 40 47 32 40 40 40 30 40 50 45 30 35 48 40 59 50 65 40 46 38 44 37 48 52 40 52 32 60 42 40 65 48 60 45 40 55 40 50 40 45 40 40 50 50 35 40 50 40 48 48 60 32 50 50 40 48 40 56 63 40 40 65 40 40 40 80 9 No EARN 4 1 2 2 2 3 2 4 2 2 2 1 2 5 1 1 2 1 2 2 2 3 2 2 2 2 2 1 2 1 2 2 1 2 3 2 2 2 2 4 4 2 1 1 3 1 2 1 1 2 1 1 2 2 2 2 1 1 1 2 2 2 2 2 2 3 4 1 2 2 10 Fam Inc 71.0 22.5 37.3 27.9 45.0 40.2 42.5 82.5 24.0 38.3 81.9 27.6 14.3 55.5 17.0 15.6 67.9 30.9 46.6 22.4 39.7 46.8 25.3 39.1 63.2 43.4 46.6 45.3 46.4 46.0 26.6 50.0 17.3 28.6 42.3 15.8 49.7 33.5 25.8 35.7 24.0 37.7 28.4 21.4 26.4 33.2 47.6 42.8 20.9 30.1 22.5 32.0 51.7 47.5 40.0 22.0 23.3 31.1 14.6 58.3 24.1 18.0 30.8 39.9 47.5 48.8 28.2 14.5 59.7 67.9 11 Job Sat 1 1 3 2 2 1 2 2 1 2 1 2 1 3 2 1 1 1 1 2 2 2 2 1 2 2 2 1 3 2 2 2 3 2 2 2 1 2 1 1 2 2 2 1 1 4 1 2 2 2 3 1 2 2 1 2 2 2 2 2 3 2 1 2 1 2 2 2 2 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 1 0 25 1 5 3 0 17 1 2 1 0 2.5 0 1 2 0 30 3 1 1 0 8 0 1 1 0 10 0 1 2 1 3 0 1 1 0 4 0 5 1 1 29.5 1 1 1 0 20 2 3 2 0 11 0 3 2 1 22.08 0 1 1 0 1 3 1 1 0 1 0 5 1 2 0.5 0 5 1 1 5 0 1 1 0 11 2 5 3 0 2 0 1 2 0 2.83 0 5 2 1 1 0 1 1 1 2 0 5 1 0 9 0 5 1 1 1.41 0 5 1 5 0.5 1 2 3 0 24.75 2 5 1 0 4 0 1 1 0 12 1 5 1 0 13 3 5 1 1 11 0 5 3 0 8 0 5 1 1 40 0 5 1 0 15 2 5 2 1 1.5 0 2 3 0 0.25 0 2 1 0 3 0 2 1 0 7 1 1 3 0 4 1 1 1 0 3 0 1 1 0 12.83 0 5 1 0 2 0 1 1 1 2 0 1 1 1 15 0 1 3 0 13 0 1 1 0 0.25 0 2 2 0 33 2 3 1 1 20 2 1 1 0 17 2 5 1 0 27 2 5 3 0 3 0 1 1 0 15 2 5 1 0 8 2 5 2 0 17 0 4 1 1 18 1 5 2 0 10 0 5 1 0 7 0 4 1 0 5 1 5 3 0 3.41 2 5 3 0 3 0 5 3 0 8 0 5 3 0 14 1 1 2 0 2.66 0 5 1 0 0.25 0 1 1 0 4 1 1 1 0 5 1 5 1 0 10 1 1 3 0 5 1 4 1 0 16 0 1 2 0 13 0 1 1 0 2.5 0 5 1 0 6 2 Page A24 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 628 799 9 46.3 16 12 1 629 407 10 30.0 10 14 0 630 416 10 64.2 23 16 1 631 427 10 66.4 27 13 1 632 433 10 55.2 24 13 1 633 449 10 26.6 3 14 0 634 454 10 51.5 12 12 1 635 460 10 31.6 4 9 0 636 502 10 38.4 17 14 1 637 503 10 31.1 8 14 1 638 519 10 40.7 25 15 0 639 521 10 32.1 7 15 1 640 522 10 42.5 24 12 1 641 527 10 37.1 8 12 1 642 530 10 61.8 49 12 1 643 543 10 49.1 24 13 1 644 560 10 27.1 20 10 0 645 564 10 32.7 21 14 1 646 565 10 48.2 23 12 1 647 596 10 69.3 30 16 1 648 601 10 43.7 24 14 0 649 631 10 45.2 42 11 1 650 635 10 28.7 20 9 0 651 645 10 25.3 13 14 0 652 648 10 42.6 14 14 1 653 688 10 35.8 19 12 0 654 693 10 34.0 16 14 0 655 728 10 39.4 23 12 0 656 770 10 40.2 46 10 1 657 793 10 32.5 24 13 1 658 5 11 30.2 3 14 1 659 6 11 45.7 40 14 1 660 7 11 30.0 10 14 0 661 13 11 43.3 12 12 0 662 16 11 64.2 23 16 1 663 17 11 42.0 20 12 0 664 23 11 43.8 14 16 1 665 24 11 45.7 20 13 0 666 27 11 66.4 27 13 1 667 32 11 40.3 15 12 0 668 33 11 55.2 24 13 1 669 35 11 30.4 11 17 0 670 39 11 28.4 23 15 1 671 45 11 21.8 18 9 0 672 49 11 26.6 3 14 0 673 54 11 51.5 12 12 1 674 57 11 50.2 14 16 0 675 60 11 31.6 4 9 0 676 68 11 32.0 8 16 1 677 88 11 88.0 23 14 1 678 95 11 23.7 15 12 0 679 96 11 50.8 35 12 1 680 102 11 38.4 17 14 1 681 103 11 31.1 8 14 1 682 106 11 33.0 15 16 1 683 111 11 20.3 6 16 1 684 119 11 40.7 25 15 0 685 121 11 32.1 7 15 1 686 122 11 42.5 24 12 1 687 127 11 37.1 8 12 1 688 130 11 61.8 49 12 1 689 131 11 32.7 15 14 0 690 135 11 91.7 36 16 1 691 136 11 65.3 20 16 1 692 143 11 49.1 24 13 1 693 145 11 26.0 19 18 0 694 146 11 43.1 19 16 1 695 149 11 35.1 30 10 0 696 152 11 26.1 3 10 1 697 155 11 35.2 9 14 1 7 AGE 35 37 39 43 41 21 28 27 34 25 49 25 41 26 65 41 40 38 40 47 43 62 50 30 30 38 34 54 63 44 23 60 37 34 39 61 30 37 43 34 41 27 41 34 21 28 39 27 25 40 48 52 34 25 32 23 49 25 41 26 65 33 52 38 41 36 37 61 20 22 8 Work HRS 40 40 40 50 45 40 62 40 48 50 40 31 40 40 40 76 40 38 40 50 40 45 40 43 40 32 40 40 42 50 40 40 40 40 40 40 55 64 50 50 45 40 89 38 40 62 40 40 40 40 30 40 48 50 40 60 40 31 40 40 40 40 70 60 76 42 40 40 54 40 9 No EARN 2 1 2 4 2 2 2 3 2 1 3 2 1 1 4 2 2 3 2 4 2 2 2 2 2 2 1 2 1 3 1 1 1 2 2 1 1 1 4 4 2 2 1 3 2 2 1 3 3 2 2 2 2 1 1 3 3 2 1 1 4 2 1 2 2 2 4 1 2 1 10 Fam Inc 43.1 15.0 67.2 91.8 18.5 60.7 47.1 48.9 33.4 29.9 50.8 39.8 23.4 38.2 68.0 46.1 15.0 49.5 66.2 89.2 21.3 34.2 24.8 28.9 32.4 59.4 19.5 21.3 29.0 26.1 20.2 35.7 15.0 55.2 67.2 34.6 33.8 35.7 91.8 34.2 18.5 36.2 19.2 43.7 60.7 47.1 45.2 48.9 52.3 92.9 36.1 96.2 33.4 29.9 23.5 38.4 50.8 39.8 23.4 38.2 68.0 83.3 81.7 59.0 46.1 71.2 51.2 25.5 22.5 25.2 11 Job Sat 2 2 1 1 2 2 1 2 1 2 2 1 1 1 1 1 1 2 1 1 1 2 2 1 2 1 1 1 2 1 1 1 2 2 1 1 1 1 1 2 2 2 3 2 2 1 2 2 1 1 1 3 1 2 2 2 2 1 1 1 1 2 1 1 1 4 2 1 2 2 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 4 3 0 16 4 1 2 0 1.5 0 5 1 0 0.5 0 4 1 0 12 2 1 1 0 2 0 5 1 0 0.66 0 4 2 0 5 3 5 1 0 4 0 5 1 0 10 2 2 1 0 3 0 5 1 0 3.41 0 2 1 0 1 1 1 1 0 10.5 1 1 3 0 1 0 4 1 1 12.41 2 5 1 0 27.16 4 1 1 0 17 0 2 1 0 2.66 2 2 1 0 3 1 5 1 0 23.58 3 1 2 0 22.25 1 5 1 0 23 0 1 1 0 10 0 5 3 3 0.25 1 5 2 0 6 0 5 1 0 3.5 1 5 1 2 4 1 5 1 0 23 0 4 1 0 9.41 7 5 2 0 24 0 1 1 0 1.5 0 1 1 0 20 0 1 2 0 1.5 0 1 1 0 6 1 5 1 0 0.5 0 1 1 0 0.75 0 5 1 0 5 1 5 1 1 3 0 4 1 0 12 2 3 3 1 8 2 1 1 0 2 0 5 1 0 7 0 1 1 0 1 0 1 1 0 1.5 1 5 1 0 0.66 0 4 2 0 5 3 5 1 0 2 1 5 1 0 4 0 5 1 0 2.5 0 5 1 0 4.33 0 5 1 0 1.66 0 5 1 1 0.08 0 5 1 0 10 2 2 1 0 3 0 1 1 0 3 3 1 3 0 1 1 5 1 0 3.41 0 2 1 0 1 1 1 1 0 10.5 1 1 3 0 1 0 4 1 1 12.41 2 3 3 0 3.75 0 5 1 0 1 0 5 1 0 2.66 0 5 1 0 27.16 4 5 1 1 1 0 5 1 2 19 4 5 2 0 13 3 4 2 0 3 0 5 2 0 1 0 Page A25 1 2 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 698 156 11 40.6 15 17 1 699 160 11 27.1 20 10 0 700 161 11 51.5 26 16 0 701 164 11 32.7 21 14 1 702 165 11 48.2 23 12 1 703 172 11 48.1 32 14 1 704 174 11 34.7 27 13 0 705 175 11 23.6 5 13 0 706 186 11 55.7 15 16 1 707 190 11 49.0 27 16 1 708 196 11 69.3 30 16 1 709 201 11 43.7 24 14 0 710 202 11 36.9 11 16 1 711 204 11 27.3 16 14 0 712 205 11 48.3 24 12 1 713 208 11 44.4 13 14 1 714 214 11 33.1 12 16 1 715 226 11 33.4 11 14 0 716 230 11 36.0 8 16 1 717 231 11 45.2 42 11 1 718 235 11 28.7 20 9 0 719 239 11 46.6 25 17 1 720 245 11 25.3 13 14 0 721 246 11 35.0 16 17 0 722 248 11 42.6 14 14 1 723 261 11 37.5 17 12 1 724 277 11 68.0 48 12 1 725 284 11 30.8 9 14 1 726 288 11 35.8 19 12 0 727 290 11 61.6 12 16 1 728 293 11 34.0 16 14 0 729 311 11 41.2 20 15 1 730 319 11 41.3 9 16 0 731 325 11 27.6 10 12 0 732 328 11 39.4 23 12 0 733 338 11 46.9 23 12 1 734 339 11 27.4 34 12 0 735 346 11 27.8 17 16 1 736 347 11 48.4 24 12 0 737 349 11 26.5 15 10 1 738 358 11 58.4 18 16 1 739 365 11 31.9 32 17 1 740 368 11 26.4 16 12 0 741 370 11 40.2 46 10 1 742 393 11 32.5 24 13 1 743 394 11 38.9 10 14 0 744 124 12 51.5 26 16 0 745 405 12 30.2 3 14 1 746 406 12 45.7 40 14 1 747 413 12 43.3 12 12 0 748 417 12 42.0 20 12 0 749 423 12 43.8 14 16 1 750 424 12 45.7 20 13 0 751 432 12 40.3 15 12 0 752 435 12 30.4 11 17 0 753 439 12 28.4 23 15 1 754 445 12 21.8 18 9 0 755 457 12 50.2 14 16 0 756 468 12 32.0 8 16 1 757 488 12 88.0 23 14 1 758 495 12 23.7 15 12 0 759 496 12 50.8 35 12 1 760 506 12 33.0 15 16 1 761 511 12 20.3 6 16 1 762 531 12 32.7 15 14 0 763 535 12 91.7 36 16 1 764 536 12 65.3 20 16 1 765 545 12 26.0 19 18 0 766 546 12 43.1 19 16 1 767 549 12 35.1 30 10 0 7 AGE 36 40 48 38 40 50 44 30 32 44 47 43 37 31 44 30 41 31 25 62 50 42 30 33 30 34 64 26 38 36 34 37 33 42 54 40 57 38 41 32 39 49 35 63 44 29 48 23 60 34 61 30 37 34 27 41 34 39 25 40 48 52 32 23 33 52 38 36 37 61 8 Work HRS 40 40 45 38 40 40 50 40 40 40 50 40 40 40 89 40 38 40 60 45 40 47 43 45 40 45 48 40 32 60 40 40 40 40 40 60 42 60 40 80 35 50 40 42 50 37 45 40 40 40 40 55 64 50 40 89 38 40 40 40 30 40 40 60 40 70 60 42 40 40 9 No EARN 1 2 1 3 2 2 4 2 1 2 4 2 1 2 2 2 1 2 1 2 2 1 2 1 2 3 2 1 2 1 1 1 1 2 2 1 1 2 2 2 2 1 2 1 3 2 1 1 1 2 1 1 1 4 2 1 3 1 3 2 2 2 1 3 2 1 2 2 4 1 10 Fam Inc 30.6 15.0 42.1 49.5 66.2 50.5 56.6 21.9 45.7 69.6 89.2 21.3 26.9 27.6 46.1 38.3 26.9 45.6 39.9 34.2 24.8 39.2 28.9 26.3 32.4 45.2 98.6 20.8 59.4 51.6 19.5 31.2 31.3 22.7 21.3 37.5 18.7 50.6 76.4 36.3 61.8 21.9 46.8 29.0 26.1 72.6 42.1 20.2 35.7 55.2 34.6 33.8 35.7 34.2 36.2 19.2 43.7 45.2 52.3 92.9 36.1 96.2 23.5 38.4 83.3 81.7 59.0 71.2 51.2 25.5 11 Job Sat 1 1 1 2 1 3 1 4 2 1 1 1 1 1 1 2 2 1 2 2 2 1 1 2 2 1 1 1 1 1 1 1 1 1 1 1 2 1 4 1 1 2 2 2 1 1 1 1 1 2 1 1 1 2 2 3 2 2 1 1 1 3 2 2 2 1 1 4 2 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 5 1 0 7 3 1 1 0 17 0 4 2 0 4 0 2 1 0 2.66 2 2 1 0 3 1 5 2 0 22.5 2 1 1 0 10 0 5 2 0 2 0 5 1 0 7 1 4 1 0 22 4 5 1 0 23.58 3 1 2 0 22.25 1 5 1 0 5 2 1 1 0 10 2 4 1 0 0.66 0 1 1 0 11 3 4 1 0 12 0 5 2 0 5.5 0 4 1 0 3 0 5 1 0 23 0 1 1 0 10 0 2 2 2 5 0 5 3 3 0.25 1 5 1 0 1 0 5 2 0 6 0 4 2 0 2.08 1 5 1 1 29 3 4 2 0 1.5 1 5 1 0 3.5 1 3 2 0 5 0 5 1 2 4 1 5 1 0 5 0 1 2 0 1 0 5 1 2 6 1 5 1 0 23 0 5 1 1 11.25 0 5 1 0 29.25 0 5 1 0 2 0 5 1 4 11 0 2 1 0 1.5 0 5 2 0 9 0 4 1 3 1.5 0 2 2 0 10 0 4 1 0 9.41 7 5 2 0 24 0 5 1 0 2 0 4 2 0 4 0 1 1 0 1.5 0 1 1 0 20 0 1 1 0 6 1 1 1 0 0.75 0 5 1 0 5 1 5 1 1 3 0 3 3 1 8 2 5 1 0 7 0 1 1 0 1 0 1 1 0 1.5 1 5 1 0 2 1 5 1 0 2.5 0 5 1 0 4.33 0 5 1 0 1.66 0 5 1 1 0.08 0 1 1 0 3 3 1 3 0 1 1 3 3 0 3.75 0 5 1 0 1 0 5 1 0 2.66 0 5 1 1 1 0 5 1 2 19 4 5 2 0 13 3 Page A26 1 3 4 5 6 Resp Years Count ID_No OCCUP INCOME WORKed EDUCat GENDER 768 552 12 26.1 3 10 1 769 555 12 35.2 9 14 1 770 556 12 40.6 15 17 1 771 572 12 48.1 32 14 1 772 574 12 34.7 27 13 0 773 575 12 23.6 5 13 0 774 586 12 55.7 15 16 1 775 590 12 49.0 27 16 1 776 602 12 36.9 11 16 1 777 604 12 27.3 16 14 0 778 605 12 48.3 24 12 1 779 608 12 44.4 13 14 1 780 614 12 33.1 12 16 1 781 626 12 33.4 11 14 0 782 630 12 36.0 8 16 1 783 639 12 46.6 25 17 1 784 646 12 35.0 16 17 0 785 661 12 37.5 17 12 1 786 677 12 68.0 48 12 1 787 684 12 30.8 9 14 1 788 690 12 61.6 12 16 1 789 711 12 41.2 20 15 1 790 719 12 41.3 9 16 0 791 725 12 27.6 10 12 0 792 738 12 46.9 23 12 1 793 739 12 27.4 34 12 0 794 746 12 27.8 17 16 1 795 747 12 48.4 24 12 0 796 749 12 26.5 15 10 1 797 758 12 58.4 18 16 1 798 765 12 31.9 32 17 1 799 768 12 26.4 16 12 0 800 794 12 38.9 10 14 0 Total Average ID_No 2 32004.0 40.005 15974.0 19.968 11116.0 13.895 458.0 INCOME WORKed EDUCat GENDER 7 AGE 20 22 36 50 44 30 32 44 37 31 44 30 41 31 25 42 33 34 64 26 36 37 33 42 40 57 38 41 32 39 49 35 29 8 Work HRS 54 40 40 40 50 40 40 40 40 40 89 40 38 40 60 47 45 45 48 40 60 40 40 40 60 42 60 40 80 35 50 40 37 9 No EARN 2 1 1 2 4 2 1 2 1 2 2 2 1 2 1 1 1 3 2 1 1 1 1 2 1 1 2 2 2 2 1 2 2 10 Fam Inc 22.5 25.2 30.6 50.5 56.6 21.9 45.7 69.6 26.9 27.6 46.1 38.3 26.9 45.6 39.9 39.2 26.3 45.2 98.6 20.8 51.6 31.2 31.3 22.7 37.5 18.7 50.6 76.4 36.3 61.8 21.9 46.8 72.6 11 Job Sat 2 2 1 3 1 4 2 1 1 1 1 2 2 1 2 1 2 1 1 1 1 1 1 1 1 2 1 4 1 1 2 2 1 12 13 14 15 16 Job Get TraumatEmploy Num Char Ahead Events Years Prom 4 2 0 3 0 5 2 0 1 0 5 1 0 7 3 5 2 0 22.5 2 1 1 0 10 0 5 2 0 2 0 5 1 0 7 1 4 1 0 22 4 5 1 0 5 2 1 1 0 10 2 4 1 0 0.66 0 1 1 0 11 3 4 1 0 12 0 5 2 0 5.5 0 4 1 0 3 0 2 2 2 5 0 5 1 0 1 0 4 2 0 2.08 1 5 1 1 29 3 4 2 0 1.5 1 3 2 0 5 0 5 1 0 5 0 1 2 0 1 0 5 1 2 6 1 5 1 1 11.25 0 5 1 0 29.25 0 5 1 0 2 0 5 1 4 11 0 2 1 0 1.5 0 5 2 0 9 0 4 1 3 1.5 0 2 2 0 10 0 5 1 0 2 0 31528.0 36346.0 1448.0 33993.2 1352.0 2854.0 1200.0 180.0 6932.6 760.0 39.410 45.433 1.810 42.492 1.690 3.568 1.500 0.225 8.666 0.950 AGE HRS EARN Inc Sat Char Ahead Events Years Prom

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