Assignment 3: t Tests and ANOVA

This week, you explore key statistical concepts related to data and problem solving through the completion of the following exercises using SPSS and the information found in yourStatistics and Data Analysis for Nursing Researchtextbook. The focus of this assignment is to become familiar with the SPSS data analysis software, and to develop an understanding of how to calculate and summarize inferential statistics usingttests and ANOVA.

To prepare:

Review theStatistics and Data Analysis for Nursing Researchchapters that you read as a part of the Week 5 Learning Resources. As you do so, pay close attention to the examples presentedthey provide information that will be useful for you to recall when completing the software exercises. You may also wish to review theResearch Methods for Evidence-Based Practicevideo resources.

Refer to theWeek 5tTest Exercisesand follow the directions to perform attest.

Download and save thePolit2SetC.savdata set. You will open the data file in SPSS.

Compare your data output against the tables presented in theWeek 5tTest Exercises SPSS Output.

Formulate an initial interpretation of the meaning or implication of your calculations.

Refer to theWeek 5 ANOVA Exercisesand follow the directions to perform an ANOVA using thePolit2SetA.savdata set.

Compare your data output against the tables presented in theWeek 5 ANOVA Exercises SPSS Output.

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 theWeek 5tTest Exercisespage.

Complete the steps and Assignment as outlined in theWeek 5 ANOVA Exercisespage.

Create one document with your responses to thettest exercises and the ANOVA exercises.

Week 5 Independent t Test 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.