Does your analysis support the sample size of the data you ran?

Week 6 Blueprint Multiple Regression – Be sure to answer each question 1-8. Don’t mix up assumptions #1 with assumption tests #2 and with results in #2. You run your assumption tests based on the assumptions. This allows you to think about how reliable and valid the results may be. Then when you run your analysis that is recorded in #7. To prepare for this Application: • Review Chapter 7 of the Field text for a description of the simple regression and an example of conducting a simple regression using PASW. • Review Chapter 5 from the APA manual, “Displaying Results.” • Review the media resources demonstrating the multiple regression.. The assignment: Complete Smart Alex’s Task #4 on p. 355 to perform a multiple regression analysis using the Supermodel.sav dataset from the Field text. You can follow the steps outlined on pp. 316-320 as a guide. Create a master MS Word document (you should only be submitting ONE document each week). Label it in accordance with the convention described in your syllabus. Inside of this document, include the following information. 1. (5 pts) State the underlying assumptions for the statistical test. 2. (5 pts) State whether the assumptions have been met. If the assumptions were not met (either in actuality or hypothetically), state what alternatives you have available to you. This section will be the longest section of the paper. Especially with MR as we are running outliers. 3. (5 pts) State the null and alternative (research) hypotheses. 4. (5 pts) Copy your syntax file and paste it into your MS Word Document. 5. (5 pts) For your output file: Select all  Copy all objects  Paste into your MS word document. This will ensure that your output is in a form that your instructor can read. 6. (10 pts) Create a results table consistent with requirements from the APA style manual. 7. (10 pts) Report the results using correct APA format. a. For Multiple and Logistic Regression models, ensure that you include appropriate measures of model fit as well as the specific procedure used (e.g., Hierarchical, Enter, Stepwise, Forward, Backward). 8. (5 pts) Describe how you would compute the sample size to achieve 80% power, alpha = .05, and the effect size of .50. Does your analysis support the sample size of the data you ran? We are going to mix it up for this assignment. The IV’s are as follows: Salary per day, Age, Years worked as a model. The DV is beauty Also, you need to determine the type of entry method. The key to the type of entry method is the purpose of the regression study. What is the purpose of this study? Look at pages 321 – 324 and you can see which type of method we should use to answer this question. Hint, it is not Forced entry method.




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