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This is the edition with a publication date of 7/14/2011.
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Using SPSS: An Interactive Hands-On Approach is intended as a self-instructional book in which the reader, be it teacher, student or anyone, can learn to use SPSS on their own, and at their own pace, without the assistance of an instructor. As such, it would make a solid companion text for most statistics or research methods courses. The book uses statistics to teach SPSS, not SPSS to teach statistics. Each chapter includes an introduction and list of performance objectives indicating what the reader will be able to do after reading the chapter. SPSS Version 18 for Windows was used in the preparation of this book.The book is unique in that it encourages the reader to interact with SPSS on the computer as he/she works through examples in each chapter. This approach to learning may be novel to the reader, but the authors feel the best way to learn a subject is to interact with it in a meaningful manner. We have made every effort to ensure the book is 'user friendly' as we guide the reader through the interactive learning process. Bulleted phrases provide a step-by-step procedure to be followed by the reader when completing the exercises.
Table of Contents
|Navigating in SPSS|
|Getting Data in and out of SPSS|
|Levels of Measurement|
|Entering Variables and Data and Validating Data|
|Working with Data and Variables|
|Using the SPSS Help Menu|
|Creating Basic Graphs and Charts|
|Editing and Embellishing Graphs and Charts|
|Printing Data Files and Output Files|
|Basic Descriptive Statistics|
|One-Sample t-Test and Nonparametric Binomial Test of Equality|
|Independent Samples t-Test and Nonparametric Mann-Whitney Test|
|Paired Samples t-test and Nonparametric Wilcoxon Test|
|One-Way ANOVA and Nonparametric Kruskal-Wallis Test|
|Two-Way (Factorial) ANOVA|
|ANOVA Repeated Measures and Nonparametric Friedman Test|
|Analysis of Covariance (ANCOVA)|
|Pearson Correlation and Nonparametric Spearman Correlation|
|Single Linear Regression|
|Multiple Linear Regression|
|Chi-Square Goodness of Fit|
|Chi-Square Test of Independence|
|Table of Contents provided by Publisher. All Rights Reserved.|