Quantitative Methods: t Tests and ANOVA.
Week 5 Independent t Test Exercises
To prepare:
Refer to the Week 5 t Test Exercises and follow the directions to perform a t test.
Download and save the Polit2SetC.sav data set. You will open the data file in SPSS.
Compare your data output against the tables presented in the Week 5 t Test Exercises SPSS Output.
Formulate an initial interpretation of the meaning or implication of your calculations.
Refer to the Week 5 ANOVA Exercises and follow the directions to perform an ANOVA using the Polit2SetA.sav data set.
Formulate an initial interpretation of the meaning or implication of your calculations.
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 Ttest.
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 ttest.
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) CESD 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 tstatistic, number of degrees of freedom and the pvalue?
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 Ttest.
3. First click on CESD 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 CESD 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 ttest.
1. What is the total sample size?
2. What are the mean (SD) CESD 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 tstatistic, number of degrees of freedom and the pvalue(sig)?
5. Does the data support the hypothesis? Why or why not?
Part III
Using Polit2SetC dataset, run independent groups ttests for three outcomes. The outcome variables are CESD 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 Ttest.
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

Week_5_tTest_ExercisesandANNOVArevised2017.doc

Week_5_tTest_Exercises2.doc

WK5Polit2SetA1.sav