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Week 8 Module Problem Set

Week 8 Module Problem Set

Week 8 Module Problem Set

Details:

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.

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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.)

Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached problem set and solutions for completion of assignment.

 

UNFORMATTED ATTACHMENT PREVIEW

College of Doctoral Studies RES-845: 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