skip navigation

Not in the United States?
change your preferences.

SPSS 12 Made Simple

• By Paul Kinnear, Colin Gray

• Price: $23.95 $21.56
• Binding: Paperback
• Pages: 464
• Published by: Psychology Press
• Publication Date: 22nd July 2004
• ISBN: 978-1-84169-524-2

About the Book

SPSS 12 Made Simple provides a step-by-step coverage of every aspect of data analysis with SPSS from data entry to interpretation of the output. As well as advice on data entry and checking, there is guidance on the best ways of describing a data set and the choice of an appropriate statistical technique. Finally, the output is fully explained, with reference to fully annotated SPSS output. Extensive illustrations show exactly what is on the screen at every stage of the process, helping the reader to avoid common pitfalls and check their progress along the way. Most chapters end with practical exercises to illustrate the main points raised and allow the reader to test their understanding; but there is a final general revision section with further exercises on a range of topics. In view of the recommendations of the American Psychological Association, the book now contains advice on strength of effect, power and sample size. There is also guidance on how to report the results of statistical tests in journal articles.
This new edition is written with the same clarity that has made the book such a success in the past. The initial chapters provide an introduction to the basics of SPSS, such as data entry, followed by more advanced techniques, such as sorting, case selection, aggregation and file merging. In these early chapters, the emphasis is upon checking the accuracy of data entry and exploring the data thoroughly before making any formal statistical tests. There is also extensive coverage of the powerful new graphics capabilities of SPSS 12. Each of the later chapters is devoted to a particular statistical technique.
SPSS 12 Made Simple:
*Covers a wide range of statistical tests including t-tests, ANOVA, correlation, regression, multi-way frequency analysis, discriminant analysis, logistic regression and factor analysis.
*Shows you how to get as much out of your data as possible.
*Gives advice (with appropriate cautions and caveats) on choosing a statistical test.
*Makes extensive use of annotated screen snapshots of SPSS output, windows and dialog boxes.
*Includes both chapter-specific and general exercises.
*Has a comprehensive index.

Table of Contents

Chapter 1: Choosing a Statistical Test. Introduction. Choosing a Statistical Test: Some Guidelines. Significance of Differences. Analysis of Variance Experiments. Measuring Strength of Association between Variables. Predicting Scores or Category Membership. One-sample Tests. Finding Latent Variables: Factor Analysis. A Final Comment. Chapter 2: Getting Started with SPSS 12. Outline of an SPSS Session. Opening SPSS. The SPSS Data Editor. A Statistical Analysis. Closing SPSS. Resuming Work on a Saved Data Set. Chapter 3: Editing and Manipulating Files. More about the SPSS Data Editor. More on the SPSS Viewer. Selecting from and Manipulating Data Files. Importing and Exporting Data. Printing from SPSS. Chapter 4: Exploring Your Data. Introduction. Some Useful Menus. Describing Data. Manipulation of the Data Set. Chapter 5: Graphs and Charts. Introduction. Bar Charts. Error Bar Charts. Pie Charts. Line Graphs. Scatterplots. Chapter 6: Comparing Averages: Two-sample and One-sample Tests. Introduction. Parametric Methods: The T Tests. Effect Size, Power and the Number of Participants. Nonparametric Equivalents of the T Tests. One-sample Tests. Chapter 7: The One-factor between Subjects Experiment. Introduction. The One-way Anova. Nonparametric Tests. Chapter 8: Between Subjects Factorial Experiments. Introduction. Factorial Anova. Effect Size and Power in Factorial Anova. Experiments with More than Two Treatment Factors. Chapter 9: Within Subject Experiments. Introduction. A One-factor within Subjects Anova. Nonparametric Tests for a One-factor within Subjects Experiment. The Two-factor within Subjects Anova. Chapter 10: Mixed Factorial Experiments. Introduction. The Two-factor Mixed Factorial Anova. The Three-factor Mixed Anova. Further Analysis: Simple Effects and Multiple Comparisons. Chapter 11: Measuring Statistical Association. Introduction. Correlational Analysis with SPSS. Other Measures of Association. Chapter 12: Regression. Introduction. Simple Regression. Multiple Regression. Scatterplots and Regression Lines. Chapter 13: Multiway Frequency Analysis. Introduction. Two Examples of a Loglinear Analysis. Chapter 14: Discriminant Analysis and Logistic Regression. Introduction. Discriminant Analysis with SPSS. Binary Logistic Regression. Multinomial Logistic Regression. Some General Points. Chapter 15: Exploratory Factor Analysis. Introduction. A Factor Analysis of Data on Six Variables. Using SPSS Control Language. Revision Exercises.

About the Author(s)

After graduating from Edinburgh University, Dr Kinnear was appointed to the staff of the Department (now School) of Psychology at Aberdeen University, where he rose to become Head of Department. Besides writing various SPSS books, he has researched colour vision anomalies and defects, both congenital and acquired as the result of pathological changes in the eye, as well as memory and spatial vision. He has contributed to the methodology of measuring colour vision, especially with respect to the Farnsworth-Munsell 100-Hue Test.

After graduating from Queen's University Belfast, Dr Gray was appointed to the staff of the Department (now School) of Psychology at Aberdeen University. Besides writing various SPSS books, he has investigated the emotional development of deaf children, the cognitive effects of head injury and Alzheimer's disease, eye-witness line-up accuracy and memory processes in mental arithmetic.