ABSTRACT

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS.

This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and a chapter describing residuals. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index.

IBM SPSS Statistics 27 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved an invaluable aid to thousands of researchers and students.

New to this edition:

  • Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 27
  • A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection.

chapter Chapter 1|7 pages

An Overview of IBM® SPSS® Statistics

Introduction: An Overview of IBM SPSS Statistics 27 and Subscription Classic

chapter Chapter 2A|18 pages

IBM SPSS Statistics Processes for PC

chapter Chapter 2B|17 pages

IBM SPSS Statistics Processes for Mac

chapter Chapter 3|16 pages

Creating and Editing a Data File

chapter Chapter 4|24 pages

Managing Data

chapter Chapter 5|18 pages

Graphs and Charts: Creating and Editing

chapter Chapter 6|11 pages

Frequencies

chapter Chapter 7|9 pages

Descriptive Statistics

chapter Chapter 8|11 pages

Crosstabulation and χ2 Analyses

chapter Chapter 9|7 pages

The Means Procedure

chapter Chapter 11|10 pages

Bivariate Correlation

chapter Chapter 12|12 pages

The t Test Procedure

chapter Chapter 13|12 pages

The One-Way ANOVA Procedure

chapter Chapter 14|8 pages

General Linear Model: Two-Way ANOVA

chapter Chapter 15|16 pages

General Linear Model: Three-Way ANOVA

chapter Chapter 16|15 pages

Simple Linear Regression

chapter Chapter 17|14 pages

Multiple Regression Analysis

chapter Chapter 18|13 pages

Nonparametric Procedures

chapter Chapter 19|12 pages

Reliability Analysis

chapter Chapter 20|11 pages

Multidimensional Scaling

chapter Chapter 21|13 pages

Factor Analysis

chapter Chapter 22|14 pages

Cluster Analysis

chapter Chapter 23|15 pages

Discriminant Analysis

chapter Chapter 24|15 pages

General Linear Models: MANOVA and MANCOVA

chapter Chapter 25|11 pages

G.L.M.: Repeated-Measures MANOVA

chapter Chapter 26|10 pages

Logistic Regression

chapter Chapter 27|12 pages

Hierarchical Log-Linear Models

chapter Chapter 28|9 pages

Nonhierarchical Log-Linear Models

chapter Chapter 29|9 pages

Residuals: Analyzing Left-Over Variance