For this Knowledge Assessment, you calculate the concurrent validity coefficient between a predictor scale and criterion measure in the dataset provided. First, you will be guided through the process of how to create new variable scales. Then, you calculate the validity measure on one of the scales. The MoneyData.sav dataset that you have been provided contains three scales that measure financial attitudes: LIFESTYLE (L1 to L6) measures the desire for a luxurious lifestyle DEPENDENCE (D1 to D6) measures the tendency to depend on others for financial support (high scores) vs. supporting others (low scores) RISKTAKING (R1 to R6) measures the tendency to take financial risks in investments and careers Create Three New Variables Showing the Scores on These Three Scales To create the RISKTAKING scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “RISKTAKING.” In the “Numeric Expression” field, type SUM(R1 TO R6). To create the DEPENDENCE scale click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “DEPENDENCE.” In the “Numeric Expression” field, type SUM(D1 TO D6). On the LIFESTYLE items, item L6 (“I’d rather have a modest lifestyle because it is less stressful”) is scored in the reverse direction from the other items. People endorsing this item want a less extravagant lifestyle; endorsing the other items suggests the desire for a more extravagant lifestyle. The scoring on this item needs to be reversed. To create the reversed L6 item click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “L6R.” In the “Numeric Expression” field, type “6 – L6.” By subtracting the item responses from six, they are reversed: 5 becomes 1, 4 becomes 2, etc. To create the LIFESTYLE scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “LIFESTYLE.” In the “Numeric Expression” field, type SUM(L1 TO L5, L6R). Calculate a Validity Measure for One of the Scales There are a number of other variables in the data file, such as income, sex, age, and marital status. Create a hypothesis about an expected correlation. Here is an example: You might expect financially dependent people to have lower incomes. So, you would predict a negative correlation between DEPENDENCE and participant income (INC1). If you use SPSS to calculate the correlation between Dependence and income, (ANALYZE>CORRELATE>BIVARIATE ) you get r = - .192, p < .001. This confirms the hypothesis and gives evidence for the validity of the Dependence scale. Think of another relationship that might support the validity of one of the scales and then test your hypothesis using the data. You will need to submit: Your validity hypothesis and a brief explanation about why you expect the hypothesis to be supported The results of your statistical test of your validity hypothesis Your conclusion about validity, given the results of your statistical test Description Instructions For this Knowledge Assessment, you calculate the concurrent validity coefficient between a predictor scale and criterion measure in the dataset provided. First, you will be guided through the process of how to create new variable scales. Then, you calculate the validity measure on one of the scales. The MoneyData.sav dataset that you have been provided contains three scales that measure financial attitudes: LIFESTYLE (L1 to L6) measures the desire for a luxurious lifestyle DEPENDENCE (D1 to D6) measures the tendency to depend on others for financial support (high scores) vs. supporting others (low scores) RISKTAKING (R1 to R6) measures the tendency to take financial risks in investments and careers Create Three New Variables Showing the Scores on These Three Scales To create the RISKTAKING scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “RISKTAKING.” In the “Numeric Expression” field, type SUM(R1 TO R6). To create the DEPENDENCE scale click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “DEPENDENCE.” In the “Numeric Expression” field, type SUM(D1 TO D6). On the LIFESTYLE items, item L6 (“I’d rather have a modest lifestyle because it is less stressful”) is scored in the reverse direction from the other items. People endorsing this item want a less extravagant lifestyle; endorsing the other items suggests the desire for a more extravagant lifestyle. The scoring on this item needs to be reversed. To create the reversed L6 item click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “L6R.” In the “Numeric Expression” field, type “6 – L6.” By subtracting the item responses from six, they are reversed: 5 becomes 1, 4 becomes 2, etc. To create the LIFESTYLE scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “LIFESTYLE.” In the “Numeric Expression” field, type SUM(L1 TO L5, L6R). Calculate a Validity Measure for One of the Scales There are a number of other variables in the data file, such as income, sex, age, and marital status. Create a hypothesis about an expected correlation. Here is an example: You might expect financially dependent people to have lower incomes. So, you would predict a negative correlation between DEPENDENCE and participant income (INC1). If you use SPSS to calculate the correlation between Dependence and income, (ANALYZE>CORRELATE>BIVARIATE ) you get r = - .192, p < .001. This confirms the hypothesis and gives evidence for the validity of the Dependence scale. Think of another relationship that might support the validity of one of the scales and then test your hypothesis using the data. You will need to submit: Your validity hypothesis and a brief explanation about why you expect the hypothesis to be supported The results of your statistical test of your validity hypothesis Your conclusion about validity, given the results of your statistical test Description Instructions For this Knowledge Assessment, you calculate the concurrent validity coefficient between a predictor scale and criterion measure in the dataset provided. First, you will be guided through the process of how to create new variable scales. Then, you calculate the validity measure on one of the scales. The MoneyData.sav dataset that you have been provided contains three scales that measure financial attitudes: LIFESTYLE (L1 to L6) measures the desire for a luxurious lifestyle DEPENDENCE (D1 to D6) measures the tendency to depend on others for financial support (high scores) vs. supporting others (low scores) RISKTAKING (R1 to R6) measures the tendency to take financial risks in investments and careers Create Three New Variables Showing the Scores on These Three Scales To create the RISKTAKING scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “RISKTAKING.” In the “Numeric Expression” field, type SUM(R1 TO R6). To create the DEPENDENCE scale click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “DEPENDENCE.” In the “Numeric Expression” field, type SUM(D1 TO D6). On the LIFESTYLE items, item L6 (“I’d rather have a modest lifestyle because it is less stressful”) is scored in the reverse direction from the other items. People endorsing this item want a less extravagant lifestyle; endorsing the other items suggests the desire for a more extravagant lifestyle. The scoring on this item needs to be reversed. To create the reversed L6 item click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “L6R.” In the “Numeric Expression” field, type “6 – L6.” By subtracting the item responses from six, they are reversed: 5 becomes 1, 4 becomes 2, etc. To create the LIFESTYLE scale, click TRANSFORM>COMPUTE VARIABLE. In the “Target Variable” field, type “LIFESTYLE.” In the “Numeric Expression” field, type SUM(L1 TO L5, L6R). Calculate a Validity Measure for One of the Scales There are a number of other variables in the data file, such as income, sex, age, and marital status. Create a hypothesis about an expected correlation. Here is an example: You might expect financially dependent people to have lower incomes. So, you would predict a negative correlation between DEPENDENCE and participant income (INC1). If you use SPSS to calculate the correlation between Dependence and income, (ANALYZE>CORRELATE>BIVARIATE ) you get r = - .192, p < .001. This confirms the hypothesis and gives evidence for the validity of the Dependence scale. Think of another relationship that might support the validity of one of the scales and then test your hypothesis using the data. You will need to submit: Your validity hypothesis and a brief explanation about why you expect the hypothesis to be supported The results of your statistical test of your validity hypothesis Your conclusion about validity, given the results of your statistical test 

Instructions for Session 5 (1) Please review the Power Point lecture on the Uniformed Code of Military Justice. (2) After reviewing the lecture, you may peruse the Manual for Courts-Martial (ed. 2016, 2012 and 2002) that is posted on D2L “only if you are interested.” (3) Please review the articles posted on D2L which examines the role of women in combat. After reviewing the articles, please watch the video “Lioness” (directed by Meg McLagan & Daria Sommers) which also explores the role of female soldiers in war zones. This video should not be too difficult to watch, because there is very little graphic content. I expect everyone to review this footage. However, you will not be penalized if you are unable to watch this video. This video is on “course reserve” at the library. Please refer to the section entitled “Documentary Learning Series” on D2L. Please watch the video no later than Wednesday (July 1, 2020). (4) If you are unable to retrieve the video from the library, it is available on Amazon. You may also try Netflix or Youtube. (5) Please read the Department of Defense article posted on D2L that defines the concept Conscientious Objectors. This is a very interesting concept and deserves your attention. In addition, please write at least one paragraph at the end of the paper expressing your thoughts about Conscientious Objectors. As a side note, Mel Gibson made a movie entitled “Hacksaw Ridge.” The movie, based on true events, is about a soldier (Desmond T. Doss) who refused to kill or carry a gun while serving in the military. You do not need to watch this movie. I only mentioned it, because of the concept Conscientious Objector. Desmond T. Doss was the first Conscientious Objector to be awarded the Medal of Honor. (6) Please review the article on Women and Selective Services. Historically, women were exempt from conscription or “the draft” in the United States and did not have to register with Selective Services. (7) Please write a one to two-page paper (not in APA format) expressing your thoughts and feelings after reviewing the lecture, manuals and/or footage. Your paper should reflect a level of knowledge showing that you have read and reflected on the lecture or other material. Please “try” to submit your reflection paper no later than 9:00 A.M. on Thursday (July 2, 2020).