Statistics & data analysis

Statistics & data analysis

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.

 

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