Week 4 Checkpoint PSYCH/625 Version 4 University of Phoenix Material Week 4 Checkpoint Looking at the sample provided, how would you interpret the results of the two-way ANOVA? What does the p value tell you? The results mention df. What does that term represent? How is it calculated? Write a plainly stated sentence that explains what these results tell you about your groups. ANOVA SCORES Sum of Squares df Mean Square F Sig. Between Groups 351.520 4 87.880 9.085 .000 Within Groups 435.300 45 9.673 Total 786.820 49 Copyright © 2017 by University of Phoenix. All rights reserved. 1 Time to Practice: Week 4 PSYCH/625 Version 4 University of Phoenix Material Time to Practice: Week 4 Complete Parts A, B, and C below. Part A Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Textbook Resources link. 1. Using the data in the file named Ch. 11 Data Set 2, test the research hypothesis at the .05 level of significance that boys raise their hands in class more often than girls. Do this practice problem by hand using a calculator. What is your conclusion regarding the research hypothesis? Remember to first decide whether this is a one- or two-tailed test. 2. Practice the following problems by hand just to see if you can get the numbers right. Using the following information, calculate the t-test statistic. a. b. c. 3. Using the results you got from Question 2 and a level of significance at .05, what are the two-tailed critical values associated with each? Would the null hypothesis be rejected? 4. Using the data in the file named Ch. 11 Data Set 3, test the null hypothesis that urban and rural residents both have the same attitude toward gun control. Use IBM® SPSS® software to complete the analysis for this problem. 5. In the following examples, indicate whether you would perform a t-test of independent means or dependent means. a. Two groups were exposed to different treatment levels for ankle sprains. Which treatment was most effective? b. A researcher in nursing wanted to know if the recovery of patients was quicker when some received additional in-home care whereas when others received the standard amount. c. A group of adolescent boys was offered interpersonal skills counseling and then tested in September and May to see if there was any impact on family harmony. d. One group of adult men was given instructions in reducing their high blood pressure whereas another was not given any instructions. e. One group of men was provided access to an exercise program and tested two times over a 6month period for heart health. 6. The data set for this problem can be found through the Sage Materials in the Student Textbook Resource Access link, listed under Academic Resources. For Ch. 12 Data Set 3, compute the t value and write a conclusion on whether there is a difference in satisfaction level in a group of families’ use of service centers following a social service intervention on a scale from 1 to 15. Do this exercise using IBM® SPSS® software, and report the exact probability of the outcome. Copy and paste the output from IBM® SPSS® into this worksheet. 7. You may use SPSS for this problem or do it by hand. A famous brand-name manufacturer wants to know whether people prefer Nibbles or Wribbles. They sample each type of cracker and indicate their like or dislike on a scale from 1 to 10. Which do they like the most? Paste your t-test output into your answer and write a very brief analysis. Copyright © 2017, 2014 by University of Phoenix. All rights reserved. 1 Time to Practice: Week 4 PSYCH/625 Version 4 Nibbles rating Wribbles rating 9 4 3 7 1 6 6 8 5 7 7 7 8 8 3 6 10 7 3 8 5 9 2 8 9 7 6 3 2 6 5 7 8 6 1 5 6 5 3 6 8. Using the following table, provide three examples of a simple one-way ANOVA, two examples of a two-factor ANOVA, and one example of a three-factor ANOVA. Complete the table for the missing examples. Identify the grouping and the test variable. Design Simple ANOVA Grouping variable(s) Test variable Four levels of hours of training—2, 4, 6, and 8 hours Typing accuracy Enter Your Example Here Enter Your Example Here Enter Your Example Here Enter Your Example Here Enter Your Example Here Enter Your Example Here Copyright © 2017, 2014 by University of Phoenix. All rights reserved. 2 Time to Practice: Week 4 PSYCH/625 Version 4 Two-factor ANOVA Three-factor ANOVA Two levels of training and gender (twoway design) Typing accuracy Enter Your Example Here Enter Your Example Here Enter Your Example Here Enter Your Example Here Two levels of training, two of gender, and three of income Voting attitudes Enter Your Example Here Enter Your Example Here 9. The data set for this problem can be found through the Sage Materials in the Textbook Resources link. Using the data in Ch. 13 Data Set 2 and the IBM® SPSS® software, compute the F ratio for a comparison between the three levels representing the average amount of time that swimmers practice weekly (< 15, 15–25, and > 25 hours) with the outcome variable being their time for the 100yard freestyle. Does practice time make a difference? Use the Options feature to obtain the means for the groups. Copy and paste the output from IBM® SPSS® into this worksheet. 10. When would you use a factorial ANOVA rather than a simple ANOVA to test the significance of the difference between the averages of two or more groups? 11. Create a drawing or plan for a 2 × 3 experimental design that would lend itself to a factorial ANOVA. Identify the independent and dependent variables. From Salkind (2011). Copyright © 2012 SAGE. All Rights Reserved. Adapted with permission. Part B Complete the questions below. Be specific and provide examples when relevant. Cite any sources consistent with APA guidelines. Question Answer What is meant by independent samples? Provide a research example of two independent samples. When is it appropriate to use a t-test for dependent samples? What is the key piece of information you must know in order to decide? When is it appropriate to use an ANOVA? What is the key piece of information you must know in order to decide? Why would you want to do an ANOVA when you have more than two groups, rather than just comparing each pair of means with a t-test? Copyright © 2017, 2014 by University of Phoenix. All rights reserved. 3 As you get closer to the final project in Week 6, you should have a better idea of the role of statistics in research. This week, you calculate your first inferential stats on your data set. You may calculate an independent t-test or a one-way ANOVA for the independent groups. Reading and interpreting the output correctly is highly important. Most people never see the actual output or data; they read the results statements by the researcher, so your summary must be accurate. Calculate the independent groups' t-test or a one-way ANOVA. Summarize the results of the calculation in 45 to 90 words. Submit the IBM SPSS output and your summary to your instructor. Click the Assignment Files tab to submit your assignment. Data Sets 2 and 3 Data Sets 2 and 3 Data Sets 2 and 3 Data Sets 2 and 3 Gender Age 1 2 1 1 1 2 2 1 1 2 2 2 2 2 1 1 1 2 2 1 1 1 2 1 2 2 1 2 2 2 1 2 1 1 1 1 2 2 1 2 1 1 2 2 2 2 College 29 32 39 25 27 33 36 28 34 32 31 38 27 29 26 39 40 37 37 29 29 30 36 30 30 35 27 31 38 38 34 28 29 32 35 35 37 29 40 27 27 34 34 25 25 29 Caffeine 1 4 1 2 1 3 3 3 3 2 1 1 3 4 4 4 1 2 3 3 3 2 3 3 2 4 3 2 1 3 2 3 2 4 2 3 2 3 4 4 2 1 1 2 1 2 Test Prep 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 2 2 2 1 1 1 1 1 1 1 2 2 1 1 2 3 1 2 1 2 2 3 3 2 1 1 2 2 2 3 1 1 1 2 2 1 3 2 2 2 3 3 2 2 1 2 2 2 3 2 2 2 2 1 1 2 1 2 1 2 Math Score Reading Score Total Score 75 78 153 90 96 186 45 50 95 50 79 129 55 45 100 67 80 147 78 70 148 92 75 167 84 82 166 56 79 135 67 53 120 60 80 140 72 88 160 83 92 175 81 75 156 90 82 172 64 78 142 69 95 164 88 69 157 74 80 154 86 70 156 57 67 124 90 85 175 66 70 136 79 72 151 83 80 163 87 85 172 84 80 164 65 75 140 79 75 154 52 60 112 91 85 176 74 77 151 82 80 162 86 85 171 72 67 139 81 85 166 84 81 165 87 83 170 79 74 153 82 60 142 78 75 153 67 50 117 86 80 166 49 58 107 76 82 158 1 1 2 2 30 30 35 34 3 3 2 4 1 1 2 1 2 2 1 3 87 72 59 90 90 75 64 93 177 147 123 183 Variable Gender Age College Caffeine Test Preparation Math Score Reading Score Total Score Description of Values Sex (1= Male, 2=Female) Chronological Age (in years) College Experience (1=no college, 2=some college, 3=associate's degree, 4=bachelor's degree Regular Caffeine Use (1=yes, 2=no) Level of Preparation (1=no preparation, 2=moderate preparation, 3=high preparation) Scale= 0-100 Scale= 0-100 Scale= 0-200
Purchase answer to see full attachment