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Multiple regression
The first thing you have to do is chose a topic, collect data, and then estimate relationships using the techniques of Chapters of multiple regression and regression analysis: model building.
1. Do not use any of the data sets that come with different textbooks. Too many other people have used those data sets. The data source should to be one that you have actually found and verified.
2. Make sure you explain what you are doing clearly with references. The project/paper will have to be properly written. Make sure you following proper citation rules for any information you got from another source, Only APA style.
3. The sample size should of at least five independent variables. The independent variables should not be part of the dependent variable by construction.
4. The project should involve applying the regression analysis in excel only.
5. Somewhere the project you should have information on relevant descriptive statistics. Relevant does not mean everything Excel can print out. At a minimum it should include the mean and standard deviation of the variables involved. However, you may decide that other statistics might provide useful information (e.g. in some cases, the range of the variables might be relevant). This information could either be on a separate table of descriptive statistics or combined with regression tables.
6. For the regression tables, as mentioned in the information posted on Moodle, you should not just copy from Excel but instead type proper tables. You should have a regression table that has both your original model (before you eliminate variables) and your final Model. The sample projects contain some examples. Note, you do not need separate tables for the two models.
NOTE: REGRESSIONS SHOULD BE RUN IN EXCEL ONLY
Multiple Regression
Linear Multiple Regression
One of the goals of science is prediction: given a current state of affairs, researchers should be able to predict some future outcome. Imagine a situation where you want to assess how perceived corporate climate predicts company profit. It would be very useful to be able to explain the strength of the relationship between corporate climate and earnings and just how much of the variability in corporate climate explains in profit. Such information could be quite valuable in deciding financial resources to invest in changing corporate climate. The simple linear regression offers a technique through which to examine such a relationship.
This week, you will learn how to work with simple linear regression.
Learning Outcomes
By the end of this week, you will be able to (for ANCOVA):
State underlying assumptions
Determine whether assumptions have been met
Propose alternatives if assumptions are not met
State null and alternative hypotheses
Analyze data using PASW
Interpret and report the results with PASW, including effect size
Describe sample size
Report results in APA format
Critique published work reporting on quantitative research
Text: Discovering Statistics Using SPSS
Sections 7.1?7.4 provide an introduction to regression, including an explanation of how to do a simple regression on SPSS and how to interpret a simple regression.
? Handout: Journal Article Critique (Word document)
This handout explains the importance of scholarly critique and provides instructions for the journal article critique you will complete in this week’s Application 2 Assignment.
? Handout: Statistics Application Evaluation Criteria (Word document)
This handout will guide you in completing and submitting your multiple regression Application 1 Assignment for this week.
? Software: PASW Statistics
use the PASW software to complete this week’s Application 1 Assignment.
? Media:
?
o “Why Critique Research” (9:21)
Click here to download a transcript of this video segment.
Dr. Gary Burkholder of Walden University explains the value of critiquing research at all stages of your academic career. To view this video program, use the media player located at the top of this page.
This chapter provides an alternative explanation of the multiple regression test with more statistical explanations.
? Text: Publication Manual of the American Psychological Association
o Chapter 5, “Displaying Results”
? Media:
o Data Cleaning and Dealing with Assumptions (Adobe Captivate)
Dr. Jennifer Morrow explains the assumptions surrounding many of the tests you will study and explains ways
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