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 the comparison of means. You will perform a one-way between-subjects MAN

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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 the 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.)

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 the comparison of means. You will perform a one-way between-subjects MAN
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: Is there a sufficient correlation between the dependent variables to justify the use of MANOVA? Was the assumption of equality of covariance matrices violated? Explain. Is there a statistically significant multivariate interaction effect? Identify the dependent variable(s) of this interaction effect. What would be the proper follow-up tests for a statistically significant interaction effect? Identify the proper post hoc analyses for any statistically significant univariate effects. Explain your answer. Is there a statistically significant multivariate gender effect on the dependent variate? Why would a researcher conduct a MANOVA instead of several ANOVAs? Write a results section for this research.
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 the comparison of means. You will perform a one-way between-subjects MAN
College of Doctoral Studies RES-845: Module 8 Problem Set Solutions Factorial (2 x 3) MANOVA 1. Is there a sufficient correlation between the dependent variables to justify the use of MANOVA?YES! THE DEPENDENT VARIABLES ARE BOTH CONCEPTUALLY AND STATISTICALLY (r = .513) RELATED. 2. Was the assumption of Equality of Covariance Matrices violated? Explain.NO! RESULT OF THE BOX’S TEST OF EQUALITY OF COVARIANCE MATRICES INDICATED NO VIOLATION (p = .463). 3. Is there a statistically significant multivariate interaction effect?YES! Identify the dependent variable(s) of this interaction effect. EMOTION ONLY 4. What would be the proper follow-up tests for a statistically significant interaction effect?CONDUCT TWO SEPARATE ONE-WAY ANOVAs WITH TREATMENT AS THE INDEPENDENT VARIABLE FOR MALES AND FEMALES. IF THE ONE-WAY ANOVAs REPORT A STATISTICALLY SIGNIFICANT OMNIBUS, THEN PERFORM THE APPROPRIATE POST-HOC. 5. Identify the proper post hoc analyses for any statistically significant univariate effects. Explain your answer.THE LSD IS ONE OF THE PROPER POST-HOCS BECAUSE THE EQUAL VARIANCES ASSUMPTION IS NOT VIOLATED. 6. Is there a statistically significant multivariate gender effect on the dependent variate?YES! BUT BECAUSE THERE IS AN INTERACTION EFFECT, THIS MAIN EFFECT IS OF LITTLE INTEREST. 7. Why would a researcher conduct a MANOVA instead of several ANOVAs? THERE ARE AT LEAST TWO REASONS TO CONDUCT A MANOVA INSTEAD OF A SERIES OF ANOVAs. (1) MANOVA IS A MORE POWERFUL STATISTICAL TECHNIQUE (I.E., IT IS BETTER ABLE TO DETECT DIFFERENCES IF THEY REALLY EXIST), (2) MANOVA CONTROLS FOR AN INFLATED TYPE I ERROR. 8. Write a Results section for this research. Correlations General Linear Model Box’s Test of Equality of Covariance Matricesa   Multivariate Tests c   Levene’s Test of Equality of Error Variances a   Tests of Between-Subjects Effects General Linear Model 1. Treatment 2. Gender 3. Treatment * Gender Univariate Analysis of Variance Tests of Between-Subjects Effects Estimated Marginal Means 1. Treatment 2. Gender 3. Treatment * Gender Univariate Analysis of Variance for MALES Tests of Between-Subjects Effects Estimated Marginal Means Treatment Post Hoc Tests Multiple Comparisons Univariate Analysis of Variance for FEMALES Tests of Between-Subjects Effects Estimated Marginal Means Treatment Post Hoc Tests Treatment Multiple Comparisons Univariate Analysis of Variance for TREATMENT Main Effect Tests of Between-Subjects Effects Estimated Marginal Means Treatment Post Hoc Tests Treatment

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