QUANTITATIVE ANALYSIS: COMPARING GROUPS WITH T TESTS, ANALYSIS OF VARIANCE (ANOVA) AND SIMILAR NON-PARAMETRIC TESTS
Chapter 9 SPSS Questions
Using the CollegeStudentData.sav file, do the following problems. Print your outputs after typing your interpretations on them. Circle the key parts of the output that you use for your interpretation.
Identify an example of a variable measured at the scale/normally distributed level for which there is a statistically significant overall difference (F) between the three marital status groups.
Complete the analysis and interpret the results. Do appropriate post hoc tests.
9.5 Identify an example of a variable measured at the scale/normally distributed level for which there is a statistically significant overall difference (F) between the three marital status groups.
Complete the analysis and interpret the results. Do appropriate post hoc tests.
9.6 Use the Kruskal–Wallis test, with Mann‒Whitney post hoc follow-up tests if needed, to run the same problem as 9.1. Compare the results.
9.7 Do students’ heights differ depending on academic track and marital status, and do academic track and marital status interact? Run the appropriate analysis and interpret the results.
9.8 Do academic track and having children interact and does either seem to affect current GPA?
