To complete: Complete the Part I, Part II, and Part III steps and Assignments as outlined in the Week 5 t Test Exercises page. Complete the steps and Assignment as outlined in the Week 5 ANOVA Exercises page. Create one document with your responses to the t test exercises and the ANOVA exercises. Part I The hypothesis being tested is: Women who are working will have a lower level of depression as compared to women who are not working. Using Polit2SetC SPSS dataset, which contains a number of mental health variables, determine if the above hypothesis is true. Follow these steps when using SPSS: 1. Open Polit2SetC dataset. 2. Click Analyze then click Compare Means, then Independent Sample T-test. 3. Move the Dependent Variable (CES_D Score “cesd”) in the area labelled Test Variable. 4. Move the Independent Variable (Currently Employed “worknow”) into the area labelled Grouping Variable. The worknow variable is coded as (0= those women who do not work and 1= those women who are working). Click on Define Groups in group 1 box type 0 and in group 2 box type 1. Click Continue. 5. Click continue and then click OK. Assignment: Through analysis of the data and use of the questions below write one to two paragraphs summarizing your findings from this t-test. 1. How many women were employed versus not employed in the sample? 2. What is the total sample size? 3. What are the mean (SD) CES-D scores for each group? 4. Interpret the Levene’s statistic. (Hint: Is the assumption of homogeneity of variance met? Are equal variances assumed or not assumed?) 5. What is the value of the t-statistic, number of degrees of freedom and the p-value? 6. Does the data support the hypothesis? Why or why not? Part II Hypothesis: Women who reported depression scores in wave 1 and wave 2 of the study did not have a significant difference in their level of depression. Using Polit2SetC SPSS dataset, determine if the above hypothesis is true. Follow these steps when using SPSS: 1. Open Polit2SetC dataset. 2. Click Analyze then click Compare Means, then Paired Samples T-test. 3. First click on CES-D Score (cesd) and move it into the box labelled Paired Variables (in the rectangle for Pair 1 of Variable 1 and then click on CESD Score, Wave 1 (cesdwav1) and move it into the Paired Variables box (in the rectangle next to CES-D Score, pair 1, variable 2). 4. Click continue and then click OK. Assignment: Through analysis of the data and use of the questions below write one to two paragraphs summarizing your findings from this t-test. 1. What is the total sample size? 2. What are the mean (SD) CES-D scores at wave 1 and wave 2? 3. What is the mean difference between the two time periods? 4. What is the value of the t-statistic, number of degrees of freedom and the p-value(sig)? 5. Does the data support the hypothesis? Why or why not? Part III Using Polit2SetC dataset, run independent groups t-tests for three outcomes. The outcome variables are CES-D Score (cesd), SF12: Physical Health Component Score, standardized (sf12phys) and SF12: Mental Health Component Score, standardized (sf12ment). Follow these steps when using SPSS: 1. Open Polit2SetC dataset. 2. Click Analyze then click Compare Means, then Independent Sample T-test. 3. Move the Dependent Variables (CES_D Score “cesd”, SF12: Physical Health Component Score, standardized (sf12phys), and SF12: Mental Health Component Score, standardized (sf12ment) ) in the area labelled Test Variable. 4. Move the Independent Variable (Educational Attainment “educatn”) into the area labelled Grouping Variable. The educatn variable is coded as (1= no high school credential and 2=diploma or GED). Click on Define Groups in group 1 box type 1 and in group 2 box type 2. Click Continue. 5. Click continue and then click OK. Assignment: Create a table to present your results, use the table 6.3 in Chapter 6 as a model. Write one or two paragraphs explaining your results. REFERENCES Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier. · Chapter 25, “Using Statistics to Determine Differences” Chapter 5, “Statistical Inference” Chapter 6, “t Tests: Testing Two Mean Difference]]>
