A Simple Guide to IBM SPSS: For Version 20.0

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  • Edition: 12th
  • Format: Paperback
  • Copyright: 2012-07-27
  • Publisher: Wadsworth Publishing
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This no-nonsense book teaches students everything they need to know about the newest version of SPSS for Windows so they can effectively use the program in their statistics class. The guide's simple, straightforward style frees students to concentrate on learning basic statistical concepts, while still developing familiarity with SPSS. In no time, they will be using SPSS to do homework problems and conduct statistical analyses for research projects.

Table of Contents

Prefacep. viii
How to Use SPSS for Windowsp. 1
Introduction to SPSS for Windowsp. 2
A Quick Tour of the Screenp. 2
Using SPSS for Windows: Overviewp. 3
Entering Data and Naming Variablesp. 5
Entering the Datap. 5
Naming the Variablesp. 7
Specifying Analyses Using the Point-and-Click Methodp. 9
Specifying Analyses Using the Syntax Methodp. 11
Executing ("Running") the Analysisp. 11
Some General Notes on SPSS Commandsp. 12
Errorsp. 13
Viewing and Manipulating Outputp. 14
Viewing Outputp. 15
Editing Outputp. 15
Printing Outputp. 15
Saving Outputp. 16
Exiting SPSS for Windowsp. 16
Proceduresp. 17
Frequency Distributions and Descriptive Statisticsp. 18
Sample Problemp. 18
Analysisp. 18
Outputp. 21
One-Sample t-Testp. 25
Sample Problemp. 25
Analysisp. 25
Outputp. 27
Independent-Samples t-Testp. 29
Sample Problemp. 29
Analysisp. 30
Outputp. 32
Dependent-Samples (Matched-Pairs, Paired Samples) t-Testp. 34
Sample Problemp. 34
Analysisp. 35
Outputp. 36
One-Way Between-Groups (Independent Groups) ANOVAp. 38
Sample Problemp. 38
Analysisp. 40
Outputp. 45
Two-Way Between-Groups (Independent Groups) ANOVAp. 49
Sample Problemp. 49
Analysisp. 50
Outputp. 54
One-Way Within-Subjects (Repeated Measures) ANOVAp. 58
Sample Problemp. 58
Analysisp. 59
Outputp. 62
Two-Way Mixed (Between-Within) ANOVAp. 68
Sample Problemp. 68
Analysisp. 70
Outputp. 71
Correlationsp. 75
Sample Problemp. 75
Analysisp. 76
Outputp. 78
Simple Regressionp. 80
Sample Problemp. 80
Analysisp. 81
Outputp. 83
Multiple Regressionp. 87
Sample Problemp. 87
Analysisp. 89
Outputp. 92
Chi-Square Test of Independencep. 97
Sample Problemp. 97
Analysisp. 98
Outputp. 100
Saving and Retrieving Filesp. 103
Data Transformationsp. 106
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