Your APA write-up of the regression analysis must include the following information to receive full credit.
- · Statement of the scientific hypothesis with identification of the criterion and predictor and covariate variables and if applicable coding rules. (3 pt)
- · Statement of the statistical test(s). (1 pts)
- · Statement of the results of the statistical test(s) with reference to a table or figure. (4 pts)
- · A general conclusion statement that summarizes the full analysis. (2 pts)
- · General conformation to APA writing guidelines. (up to a 2 pt penalty)
Exercise 11: Power
Unbalanced factorial designed
Use the dataset from exercise 10 and conduct a power analysis for a one-way ANOVA and 2B- factorial ANOVA. Write up your findings.
Use the dataset from exercise 9 and conduct a power analysis for the logistic regression. Write up your findings.
Provided below are test data for three groups of students taught by Mr. Smith, Ms. Jones, and Ms. Green along with student pretest data. Use test as the dependent variable and the teacher and pretest as the independents to fit a multiple regression model testing your residual analysis. Then conduct a power analysis. Write up your findings.
Test Teacher Pretest
38 Smith 21
39 Smith 26
36 Smith 22
45 Smith 28
33 Smith 19
43 Green 34
38 Green 26
38 Green 29
27 Green 18
34 Green 25
24 Jones 23
32 Jones 29
31 Jones 30
21 Jones 16
28 Jones 29
Include in your write-up analysis a discussion of outliers and influential data points, residual analysis (are they normal), relevant tables and plots and a complete interpretation of the parameter estimates and overall model.
Power Analysis Extra Credit (1 pt)
The EC is due with Exercise 6; please use a separate attachment for it in the eLearing drop box.
Write a paragraph to a page review (APA format with a complete APA citation) of a primary source using power analysis. Be sure to answer the following questions in your summary: (a) What is the general problem under study, (b) specifically what research question/hypothesis are the researchers testing within the specified analysis (i.e., what groups are being compared), (c) what are the covariate variable(s), (d) what is the criterion variables, (e) did the authors conducted residual analysis, (f) is the analysis related to the general problem the researchers are investigating (g) describe the power analysis and (h) what were the findings of the specific analysis?
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