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Using SPSS for Windows and Macintosh

by: GREEN & SALKIND

Using SPSS for Windows and Macintosh

by: GREEN & SALKIND

ISBN 13:
9780205958603
ISBN 10:
0205958605
Edition: 7th
Format: Paperback
Copyright: 08/07/2013
Publisher: PEARSON
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Using SPSS for Windows and Macintosh > ISBN13: 9780205958603

Summary

De-mystifies statistics via the popular SPSS software

The development of easy-to-use statistical software like SPSS has changed the way statistics is being taught and learned. Even with these advancements, however, students sometimes still find statistics a tough nut to crack. Using SPSS for Windows and Macintosh, 7/e, guides students through basic SPSS techniques using step-by-step descriptions and explaining in detail how to avoid common pitfalls in the study of statistics.

This title is available in a variety of formats – digital and print. Pearson offers its titles on the devices students love through CourseSmart, Amazon, and more

Author Biography

Neil J. Salkind is a professor emeritus of educational psychology at the University of Kansas where he taught for 35 years. He received his degree from the University of Maryland's Institute for Child Study and has published numerous journal articles and books, among them being Using SPSS with Sam Green (Prentice Hall), Exploring Research (Prentice Hall) and Statistics for People Who (Think They) Hate Statistics (Sage). He is active in the Society for Research in Child Development where he edited the journal Child Development Abstracts & Bibliography, and the American Psychological Association. He lives in Lawrence, KS.

In this Section:
1. Brief Table of Contents

2. Full Table of Contents

1. Brief Table of Contents

Part I Introducing SPSS

Unit 1: Getting Started with SPSS

Unit 2: Creating and Working with Data Files

Unit 3: Working with Data

Unit 4A: Working with SPSS Charts and Output for Windows

Unit 4B: Working with SPSS Charts and Output for Macintosh

Part II Working with SPSS Procedures

Unit 5: Creating Variables and Computing Descriptive Statistics

Unit 6: t Test Procedures

Unit 7: Univariate and Multivariate
Unit 8: Correlation, Regression, and Discriminant Analysis Procedures

Unit 9: Scaling Procedures

Unit 10: Nonparametric Procedures

2. Full Table of Contents

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

Supplemental Materials

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