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Data Analysis with IBM SPSS Statistics

You're reading from Data Analysis with IBM SPSS Statistics Implementing data modeling, descriptive statistics and ANOVA

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781787283817

Length 446 pages

Edition 1st Edition

Tools

IBM SPSS

Concepts

Data Analysis

Authors (2):

Ken Stehlik-Barry

Anthony Babinec

View More author details

Table of Contents (24) Chapters

Title Page

Credits

About the Authors

Acknowledgement

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Installing and Configuring SPSS FREE CHAPTER

2. Accessing and Organizing Data

3. Statistics for Individual Data Elements

4. Dealing with Missing Data and Outliers

5. Visually Exploring the Data

6. Sampling, Subsetting, and Weighting

7. Creating New Data Elements

8. Adding and Matching Files

9. Aggregating and Restructuring Data

10. Crosstabulation Patterns for Categorical Data

11. Comparing Means and ANOVA

12. Correlations

13. Linear Regression

14. Principal Components and Factor Analysis

15. Clustering

16. Discriminant Analysis

SPSS procedures for comparing Means

The individual procedures available for conducting mean comparisons can be found under the Compare Means group within the Analyze menu, as shown in the following screenshot:

Starting with Means and progressing through One-Way ANOVA (the summary procedure will not be covered, since it is based on a Python add-on), the statistics available for evaluating mean differences become increasingly sophisticated. In addition, each of the techniques offers specialized statistics suited to the task they are designed to perform.

The Means procedure

The examples in this chapter will use the 33-variable subset of the General Social Survey data from 2016 that was the basis for the examples in Chapter 3, Statistics for Individual Data Elements, Chapter 4, Dealing with Missing Data and Outliers, and Chapter 10, Crosstabulations Patterns for Categorical Data. Open the SPSS data file you created earlier (or download and open the full GSS2016 following the steps in Chapter 3...

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Authors (2)

Ken Stehlik-Barry

Ken Stehlik-Barry

Kenneth Stehlik-Barry, PhD, joined SPSS as Manager of Training in 1980 after using SPSS for his own research for several years. Working with others at SPSS, including Anthony Babinec, he developed a series of courses related to the use of SPSS and taught these courses to numerous SPSS users. He also managed the technical support and statistics groups at SPSS. Along with Norman Nie, the founder of SPSS and Jane Junn, a political scientist, he co-authored Education and Democratic Citizenship. Dr. Stehlik-Barry has used SPSS extensively to analyze data from SPSS and IBM customers to discover valuable patterns that can be used to address pertinent business issues. He received his PhD in Political Science from Northwestern University and currently teaches in the Masters of Science in Predictive Analytics program there.

See other products by Ken Stehlik-Barry

Anthony Babinec

Anthony Babinec

Anthony J. Babinec joined SPSS as a Statistician in 1978 after assisting Norman Nie, SPSS founder, in a research methods class at the University of Chicago. Anthony developed SPSS courses and trained many SPSS users. He also wrote many examples found in SPSS documentation and worked in technical support. Anthony led a business development effort to find products implementing then-emerging new technologies such as CHAID decision trees and neural networks and helped SPSS customers successfully apply them. Anthony uses SPSS in consulting engagements and teaches IBM customers how to use its advanced features. He received his BA and MA in Sociology with a specialization in Advanced Statistics from the University of Chicago and teaches classes at the Institute for Statistics Education. He is on the Board of Directors of the Chicago Chapter of the American Statistical Association, where he has served in different positions including President.

See other products by Anthony Babinec

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