Logistic Regression Analysis Case Study Assignment
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Logistic Regression Analysis Case Study Assignment
LOGISTIC REGRESSION
Overview
In this assignment, you will use a logistic regression analysis to see if GPA, year, and score on Quiz 1 predict whether a student will pass or fail the course. Use the .sav file provided. Please copy and paste all necessary output for the tests of the assumptions and the logistic regression.
Instructions
Complete the following:
- Step 1. Provide a context for the data set in the supplied .sav file. Identify your predictor variables, the outcome variable, and the scales of measurement for each variable. Specify the sample size of the data set.
- Step 2. Specify a research question for the overall logistic regression model. Articulate a null hypothesis and alternative hypothesis for the overall regression model. Specify a research question for each predictor. Articulate the null hypothesis and alternative hypothesis for each predictor. Specify the alpha level.
- Step 3. Discuss and test the assumptions of logistic regression. Specifically, use SPSS to determine if there is a linear relationship between any continuous independent variables and the logit transformation of the dependent variable. Present the output and interpret the results.
- Step 4.
. Begin with a brief statement reviewing assumptions.
. Next, paste the SPSS output for the frequencies of each predictor variable with respect to the outcome variable.
. Paste the results of the Model Summary. Report R and R2 in correct APA format; interpret R2 effect size.
. Next, paste the SPSS results in the classification table and discuss those results.
. Present and interpret the results in the “variables in the equation” output table.
. Present and interpret the results of the chi-square goodness-of-fit test for the logistic regression, along with any other output tables important for the interpretation of the results.
- Step 5. Discuss your conclusions of the logistic regression as they relate to your stated research questions for the overall regression model and the individual predictors. Conclude with an analysis of the strengths and limitations of multiple regression. Please report all statistics using current APA format.
RUBRIC
Excellent Quality
95-100%
Introduction 45-41 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Literature Support
91-84 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Methodology
58-53 points
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score
50-85%
40-38 points
More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
83-76 points
Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
52-49 points
Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality
0-45%
37-1 points
The background and/or significance are missing. No search history information is provided.
75-1 points
Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
48-1 points
There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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