Problem Set

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Problem Set

Week 8 – IA NOTES

Week 8 – Problem Set

This problem set introduces you to the use of SPSS for analyzing data with more than one IV and more than one DV to investigate comparison of means. You will perform a one-way between subjects MANOVA on the data and report your output.

General Requirements:

Use the following information to ensure successful completion of the assignment:

  • Review “SPSS Access Instructions” for information on how to access SPSS for this assignment.
  • Download “Module 8 Problem Set” and use it for this assignment.

Directions:

Perform the following tasks to complete this assignment:

1. Conduct necessary analyses using SPSS so you can answer the questions listed in the exercise.

2. Submit your responses to the exercise questions as a Word document.

3. Submit the SPSS Output files showing the analyses you performed in SPSS to compute the

answers for related questions. (Note: You will need to copy the SPSS file to a Word doc for

submission.)

Module 8 Problem Set

Factorial (2 × 3) MANOVA

This study investigates the symptomatic improvement (measured by indexes of both worry and general emotion) of three different anxiety treatments for females and males. We are therefore interested not only in gender differences and treatment differences but also in whether or not gender moderates the effectiveness of the treatments (i.e., whether gender significantly interacts with treatment). To address these issues we use a factorial MANOVA design.

Variables in study:

  • Treatment: 1 = medication; 2 = psychotherapy; 3 = placebo
  • Sex: 1 = male; 0 = female
  • Worry scale
  • Emotion scale

Using the SPSS data file for Module 8 (located in Topic Materials), answer the following questions:

  1. Is there a sufficient correlation between the dependent variables to justify the use of MANOVA?
  2. Was the assumption of equality of covariance matrices violated? Explain.
  3. Is there a statistically significant multivariate interaction effect? Identify the dependent variable(s) of this interaction effect.
  4. What would be the proper follow-up tests for a statistically significant interaction effect?
  5. Identify the proper post hoc analyses for any statistically significant univariate effects. Explain your answer.
  6. Is there a statistically significant multivariate gender effect on the dependent variate?
  7. Why would a researcher conduct a MANOVA instead of several ANOVAs?
  8. Write a results section for this research.

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