A Visual Approach to SPSS for Windows: A Guide to SPSS 17.0 / Edition 2

A Visual Approach to SPSS for Windows: A Guide to SPSS 17.0 / Edition 2

by Leonard D Stern
ISBN-10:
0205706053
ISBN-13:
9780205706051
Pub. Date:
03/06/2009
Publisher:
Pearson
ISBN-10:
0205706053
ISBN-13:
9780205706051
Pub. Date:
03/06/2009
Publisher:
Pearson
A Visual Approach to SPSS for Windows: A Guide to SPSS 17.0 / Edition 2

A Visual Approach to SPSS for Windows: A Guide to SPSS 17.0 / Edition 2

by Leonard D Stern
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Overview

SPSS is, essentially, a visually-driven program, but most texts rely primarily on a verbal approach to describe its use. A Visual Approach to SPSS for Windows is the first text of its kind to employ what the author refers to as “visual sequencing” to teach students how to use SPSS.

This book is great for anyone interested in learning to use SPSS!


Product Details

ISBN-13: 9780205706051
Publisher: Pearson
Publication date: 03/06/2009
Edition description: New Edition
Pages: 432
Product dimensions: 8.40(w) x 10.80(h) x 0.90(d)

About the Author

Leonard Stern teaches courses in statistics, research methods, and human memory in the Department of Psychology at Eastern Washington Unversity. He received a B.A. in chemistry from Colby College, an M.A. from the University of Oregon in interdisciplinary studies, and an M. A. and Ph.D. in experimental psychology from the University of Oregon. He is the author of a text book on memory and one describing use of a software package to perform psychology experiments using computers. One of his current areas of interest is circumstances under which false memory occurs.

Table of Contents

Preface

Chapter 1: The Basics

Chapter 2: Entering and Saving Data

Chapter 3: Modifying Data in the Data Editor

Chapter 4: Defining Variables’ Properties

Chapter 5: The SPSS Statistics Viewer

Chapter 6: Graphing Data with the Chart Builder

Chapter 7: Data Transformation and Case Selection

Chapter 8: The Frequencies Procedure

Chapter 9: Other Procedures for Obtaining Descriptive Measures

Chapter 10: Bivariate Correlation and Regression

Chapter 11: Multiple Regression and Correlation

Chapter 12: Chi-Square Tests of Independence and Goodness-of-Fit

Chapter 13: One and Two Sample T-Tests

Chapter 14: One-Way Analysis of Variance

Chapter 15: Two-Way and Higher Order Analyses of Variance

Chapter 16: Within-Subjects ANOVAS

Chapter 17: Nonparametric or Distribution Free Tests

Chapter 18: Exploratory Factor Analysis

Chapter 19: Discriminant Analysis

Appendix A: Using the Chart Editor to Insert a Reference Line and Data Labels

Appendix B: Using the Chart Editor to Add a Title to the X-Axis

Appendix C: Using Codebook to Obtain an Overview of the Variables in a Data File

References

Index

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