Ed230B Assignment #4 - Analysis with Qualitative and Quantitative Predictors

Using one of the datasets provided by the instructor or a dataset of your own choosing (with approval of the instructor), conduct an analysis that includes both qualitative and quantitative predictor variables (at least one predictor of each type). The qualitative predictor you choose must have at least three categories. (If you choose to analyze more than one qualitative predictor, at least one of them must have a minimum of three categories.) You may frame your analysis as an analysis of covariance, as an aptitude x treatment interaction analysis (ATI analysis, called Attribute-Treatment Interaction by Pedhazur), as a nonexperimental design with qualitative and quantitative predictors, or as a logistic regression analysis.

As in Assignment Two, your report of the analysis should be written in the style of a technical report-that is, the write-up should be heavily concerned with the substantive meaning of the results. The report should include the following points:

1. Briefly describe the study, and the reason for investigating the variables you have chosen. Describe how you are coding the categorical variable(s) in your analysis.

2. Do a multiple regression with the variables you have chosen. Provide the necessary tables and figures to report your results and to support the conclusions that you draw. In your analysis, be sure to examine heterogeneity of regression slopes as well as overall significance of each of your qualitative and quantitative predictors.

3. Attach annotated printouts showing that you understand and have examined the entire output.

4. Discuss the results and draw conclusions about the basic questions you set out to answer. Discuss the meaning (both statistical and practical) of your results.

Graduate School of Education & Information Studies

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