Data Analysis for Intermediate Statistics : Applying a Multiple Regression Model

Use the RP data set for this exercise. Consider the following categories of variables as you develop a regression model to predict personal ADJUSTMENT scores.

Demographic variables: GENDER, AGE, EDUC, RACE, RELATSTA, ECONSTA, & INCOME

Visual history variables: VISLOSS, DIAGAGE, TIMCHANGE, HEARING & RPTIME

Subjective variable: LIKERTSCALE

Objective variables: STAGE & BIEHL

Strategy/focus variables: APPROACH, AVOIDANCE, COGNITIVE, BEHAVIOR, & APPROACHRESCORE

Obviously, you have not had the opportunity to extensively research these variables. However, Retinitis Pigmentosa (RP) is a serious eye disease in which vision deteriorates unpredictably across age. RP is a genetic disorder with no promising treatment available. I would recommend a hierarchical multiple regression analysis to investigate important variables related to adjustment to RP. Reading the attached description of adjustment to RP (handout #1) and surveying the variable descriptions for the RP database (handout #2) should suggest hypotheses about RP adjustment. Based on this brief background and your exploration of the RP data set (attached), develop a rationale that allows you to decide how to use important variables to set up a regression equation to predict personal ADJUSTMENT scores. Of course, before you apply your model, you may have to "clean up" some of your variables. Limit your model to four variables .

You should provide me with a results section in APA format that describes your model. Include the following information in your results, but do not simply answer these questions. The answers to these questions should be integrated into your results section.

1. State the hypothesis that you intend to test.
2. What variables did you include?
3. Which variables needed "work"? Briefly describe any need transformations, recoding, etc. Identify NAMES of any new variables and describe how they were developed.

1. How did you identify covariates?
2. Did you find any colinearity problems among the IVs?
3. State you conclusion about your hypothesis. Refer to specific information from your SPSS output to support your conclusion.

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Also please provide your SPSS output file for your analysis.

Price: $17.87

Solution: The downloadable solution consists of 11 pages, 687 words and 3 charts.
Deliverable: Word Document