# Logistic Regression

Logistic Regression: continued your work with regression by using logistic regression. Custom Essay

This week, you have continued your work with regression by using logistic regression. In this Application, you will perform a logistic regression analysis.

To prepare for this Application:

• Review Chapter 19 of the Field text for a description of the logistic multiple regression using IBM SPSS Statistics.
• Review Chapter 5 from the APA manual, “Displaying Results.”
• Review the media resources demonstrating the logistic regression.

The assignment:

Complete Smart Alex’s Task #6 on p. 812 to complete the logistic multiple regression analysis exercise using the condom.sav dataset from the Field text. You can follow the steps outlined on p.799 as a guide. Report your findings in APA format according to the guidelines in the IBM SPSS Statistics Application Assignment Guidelines handout. The final document should be 2–3 pages long.

Week 9: Logistic Regression

Introduction

You now know how to calculate the odds ratio. However, many events that occur (for example, the presence or absence of disease) are usually the result of a large number of factors. Logistic regression is similar to multiple regression in that it offers a way to find an adequate model, consisting of one or more variables, that can predict the possibility of a given outcome.

This week, you will learn how to work with logistic regression.

Learning Outcomes

By the end of this week, you will be able to (for logistic regression):

• State underlying assumptions
• Determine whether assumptions have been met
• Propose alternatives if assumptions are not met
• State null and alternative hypotheses
• Analyze data using IBM SPSS Statistics
• Interpret and report the results with IBM SPSS Statistics, including effect size
• Describe sample size
• Report results in APA format
• Create a review of literature to support the final research design proposal

Resources

Content Access Resources

Required Resources

• Course Text: Discovering Statistics Using IBM SPSS Statistics

o Chapter 19, “Logistic Regression” (pp. 760–794, 812)

In this reading, you will review what you learned about logistic regression last week. You will also learn how to interpret and report logistic regression, how to test assumptions, and how to use multinomial logistic regression.

• Handout: Statistics Application Evaluation Criteria (Word document)

This handout will guide you in completing and submitting your logistic regression Application 1 Assignment for this week.

• Software: IBM SPSS Statistics Standard GradPack (current version). Available in Windows and Macintosh versions. Please refer to the IBM SPSS Software area on the left navigation bar for more information on how to install, register, and license this software.

You will use this software to complete this week’s Application 1 Assignment.

• Media:

o Logistic Regression — Conceptual (Adobe Captivate)

Dr. Jennifer Morrow explains the calculation of a logistic regression. This Flash-based demonstration will open in a new window.

o Logistic Regression — Applied (Adobe Captivate)

Dr. Jennifer Morrow provides an example of the analysis of repeated measures using PASW. This Flash-based demonstration will open in a new window.

Research Toolkit

Research Design

• Website: Web Center for Social Research Methods

https://www.socialresearchmethods.net

This website is for people involved in applied social research and evaluation. You will find several resources and links to other locations on the web that deal in applied social research methods.

• Website: Cengage Research Methods Workshops

This website offers many useful workshop topics such as experimental methods, reliability and validity, surveys, sampling methods, ethical issues, and evaluating published research.

Statistics

• Website: UCLA’s ‘What Statistical Analysis Should I Use?’ Table

https://www.ats.ucla.edu/stat/mult_pkg/whatstat/default.htm

This statistics table shows general guidelines for choosing a statistical analysis, and links showing how to do such tests using SAS, Stata and PASW. This is a good place to go if you are not sure which statistical test would best answer the research question you have.

• Website: Statistics Hell

https://www.statisticshell.com/html/apf.html This site is Andy Field’s (the author of the main course text) online statistics resource. This site provides additional explanations beyond the textbook and more examples. This is the best place to go when you are confused about how to do a particular test.

• Website: Cengage Statistics Workshops

This website offers many useful workshop topics such as experimental methods, reliability and validity, surveys, sampling methods, ethical issues, and evaluating published research.

Optional Resources

• Text: Using Multivariate Statistics

o Chapter 10, “Logistic Regression”

• Text: Publication Manual of the American Psychological Association

o Chapter 5, “Displaying Results”

• Media: 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 that you can manage data that violates these assumptions. This Flash-based demonstration will open in a new window.

Application 2

Content

Instructions

Review of Literature

In this Application, you will continue to work on your Final Project by reviewing literature about your research topic.

To prepare for this Application:

• Review the journal articles that you researched during your Week 6 Application 2 Assignment.

The assignment:

• Write a 5- to 7-page paper in which you begin a review of the literature on your topic. The completed review will become part of your final research project proposal.

o Make sure that you include information about the construct that you will study as well as the procedure you will follow and statistical tests you will calculate. This will serve as the basis for the review of literature for your final paper.

o Include 7–10 papers to review. You may use the ones that you suggested to your instructor as preparation for your article critique.

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