Using SPSS for Windows and Macintosh: Analyzing and Understanding Data / Edition 5

by Samuel B. Green, Neil J. Salkind

Overview

Will help anyone use SPSS to successfully analyze data, interpret results, and describe findings. This complete introductory guide to SPSS has been thoroughly updated for the software's latest versions for Windows and Macintosh. It has also been revised throughout for greater accessibility, simplicity, and ease of use. The book provides step-by-step walkthroughs of every basic SPSS and statistical technique, along with tips, examples, exercises, and extensive pedagogical support designed to promote rapid learning. Coverage includes: mastering the SPSS interface; creating and working with data files; defining and creating variables; working with data, charts, and output; univariate descriptive statistics; univariate and multivariate analyses; correlation, regression, and discriminate analysis; scaling and nonparametric procedures; and more. For everyone who wants to master the latest versions of SPSS. SPSS is used in a wide range of markets, including psychology and other areas of scientific research; marketing and surveys; financial services and insurance; education; government; telecommunications; and beyond.

Product Details

ISBN-13:	9780131890251
Publisher:	Prentice Hall
Publication date:	07/26/2007
Edition description:	Revised Edition
Pages:	480
Product dimensions:	8.40(w) x 10.80(h) x 1.00(d)

Table of Contents

Preface

Part I Introducing SPSS

Unit 1 Getting Started with SPSS

Lesson 1 Starting SPSS

Lesson 2 The SPSS Main Menus and Toolbar

Lesson 3 Using SPSS Help

Lesson 4 A Brief SPSS Tour

Unit 2 Creating and Working with Data Files

Lesson 5 Defining Variables

Lesson 6 Entering and Editing Data

Lesson 7 Inserting and Deleting Cases and Variables

Lesson 8 Selecting, Copying, Cutting, and Pasting Data

Lesson 9 Printing and Exiting an SPSS Data File

Lesson 10 Exporting and Importing SPSS Data

Lesson 11 Validating SPSS Data

Unit 3 Working with Data

Lesson 12 Finding Values, Variables, and Cases

Lesson 13 Recoding Data and Computing Values

Lesson 14 Sorting, Transposing, and Ranking Data

Lesson 15 Splitting and Merging Files

Unit 4A Working with SPSS Charts and Output for Windows

Lesson 16A Creating an SPSS Chart

Lesson 17A Enhancing SPSS Charts

Lesson 18A Using the Viewer and Pivot Tables

Unit 4B Working with SPSS Charts and Output for Macintosh

Lesson 16B Creating an SPSS Chart

Lesson 17B Enhancing SPSS Charts

Lesson 18B Using the Viewer and Pivot Tables

Part II Working with SPSS Procedures

Unit 5 Creating Variables and Computing Descriptive Statistics

Lesson 19 Creating Variables

Lesson 20 Univariate Descriptive Statistics for Qualitative Variables

Lesson 21 Univariate Descriptive Statistics for Quantitative Variables

Unit 6 t Test Procedures

Lesson 22 One-Sample t Test

Lesson 23 Paired-Samples t Test

Lesson 24 Independent-Samples t Test

Unit 7 Univariate and Multivariate
Analysis-of-Variance Techniques

Lesson 25 One-Way Analysis of Variance

Lesson 26 Two-Way Analysis of Variance

Lesson 27 One-Way Analysis of Covariance

Lesson 28 One-Way Multivariate Analysis of Variance

Lesson 29 One-Way Repeated-Measures Analysis of Variance

Lesson 30 Two-Way Repeated-Measures Analysis of Variance

Unit 8 Correlation, Regression, and Discriminant Analysis Procedures

Lesson 31 Pearson Product-Moment Correlation Coefficient

Lesson 32 Partial Correlations

Lesson 33 Bivariate Linear Regression

Lesson 34 Multiple Linear Regression

Lesson 35 Discriminant Analysis

Unit 9 Scaling Procedures

Lesson 36 Factor Analysis

Lesson 37 Internal Consistency Estimates of Reliability

Lesson 38 Item Analysis Using the Reliability Procedure

Unit 10 Nonparametric Procedures

Lesson 39 Binomial Test

Lesson 40 One-Sample Chi-Square Test

Lesson 41 Two-Way Contingency Table Analysis Using Crosstabs

Lesson 42 Two Independent-Samples Test: The Mann-Whitney U Test

Lesson 43 K Independent-Samples Tests: The Kruskal-Wallis and the Median Tests

Lesson 44 Two Related-Samples Tests: The McNemar, the Sign, and the Wilcoxon Tests

Lesson 45 K Related-Samples Tests: The Friedman and the Cochran Tests

Appendix A Data for Crab Scale and Teacher Scale

Appendix B Methods for Controlling Type I Error across Multiple Hypothesis Tests

Appendix C Selected Answers to Lesson Exercises

References

Index