Parametric and non parametric analyses | RES814 Quantitative Research Methods | Colorado Technical University

Part 1

A principal wants to determine if a new ACT preparation program is effective. The data are contained in the schools.sav data file. Open the schools.sav file in SPSS. Use SPSS to determine whether a significant improvement existed between student performance on ACT tests in 1993 (act93) and ACT tests in 1994 (act94). Assume that the same students were involved in 1993 and 1994 testing. (This requires a t-test. Review Chapter 10 of the Green & Salkind text for information on paired t-tests and reporting APA results interpretation and writing.)

Create a report that answers the principal’s question. Write these conclusions in formal APA results format. Include your SPSS output to support your conclusion.

Part 2

A pharmaceutical company wants to determine whether there is a need for a new medication based on the data in the electric.sav file. Specifically, they want to determine whether a person is alive or dead 10 years after a coronary incident and whether that is reflected in a significant difference in the patients’ cholesterol levels (chol58) taken when the event occurred. Use chol58 as a dependent variable and VITAL10 as your independent variable. Complete the following:

• Analyze these conditions to determine whether there is a significant difference between the cholesterol levels (vital10) of those who are alive 10 years later compared to those who died within 10 years.
• Include the SPSS output, which validates your conclusion.
• Write a brief paragraph describing your conclusions.

Refer to Unit 6 in the Green & Salkind text for specific information about SPSS tests and APA results interpretation and writing. Pay attention to the Levene’s test throughout for determining whether the assumption of equal variance was met when you make your final decisions about the analysis.

What conclusion did you reach? Write these conclusions in formal APA results format. Include your SPSS output to support that conclusion.

Part 3

Occasionally, you have 1 independent variable that has 3 or more levels or groups. For a parametric data set, an analysis of variance (ANOVA) is the proper calculation. Use an ANOVA to address the following scenario:

A financial planner is interested in understanding the relationship between the dependent variable of the income level of respondents (rincdol) and the independent variable of their education level (ndegree) from the gss.sav data file. Use SPSS to complete the following:

• Run an ANOVA to determine the overall conclusion.
• Use the Bonferroni correction as a post-hoc analysis to determine the relationship of specific levels of degree level to income.
• Explain the overall conclusions based on the analysis, and describe the relationship(s) between the levels of the degree earned and income.
• Write your conclusion of the findings based upon the output using proper APA formatting.

Submit both the SPSS output file and your Word summary. (Refer to the Green & Salkind section about a one-way ANOVA for information on APA results interpretation and writing.)