Using Spss for Windows: Analyzing and Understanding Data,9780130208408

Using Spss for Windows: Analyzing and Understanding Data

by ; ;
Edition: 2nd
ISBN13: 9780130208408
ISBN10: 013020840X
Format: Paperback
Pub. Date: 1999-09-01
Publisher(s): Pearson College Div
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Summary

For masters- and doctoral-level students in intro and advanced statistics. This text provides comprehensive treatment of all relevant topics for SPSS for Windows, including an introduction to get users up and running plus extensive discussion of more complex topics utilizing SPSS 9.0. Substantive information about statistical techniques includes a brief discussion of each statistical technique, examples of how the statistic is applied, the assumptions underlying the statistic, a description of the effect size, a sample data set that can be analyzed, the research question associated with the data set, step-by-step instructions as to how to complete the analysis, a discussion of the results of the analysis, alternative analytic techniques when available and a visual display of the results using SPSS graphic options.

Author Biography

Neil J. Salkind teaches at the University of Kansas.

Table of Contents

Preface xi
Part I Introducing SPSS 1(1)
Unit 1 Getting Started with SPSS 1(22)
Starting SPSS for Windows
2(3)
The SPSS Main Menus and Toolbar
5(8)
Using SPSS Help
13(5)
A Brief SPSS Tour
18(5)
Unit 2 Creating and Working with Data Files 23(31)
Defining Variables
24(6)
Entering and Editing Data
30(6)
Inserting and Deleting Cases and Variables
36(4)
Selecting, Copying, Cutting, and Pasting Data
40(5)
Printing and Exiting an SPSS Data File
45(3)
Exporting and Importing SPSS Data
48(6)
Unit 3 Working with Data 54(22)
Finding Values, Variables, and Cases
55(4)
Recoding Data and Computing Values
59(6)
Sorting, Transposing, and Ranking Data
65(5)
Splitting and Merging Files
70(6)
Unit 4 Working with SPSS Charts and Output 76(21)
Creating an SPSS Chart
77(6)
Enhancing SPSS Charts
83(9)
Using the Viewer
92(5)
Part II Working With SPSS Procedures 97(1)
Unit 5 Creating Variables 97(39)
Summarizing and Describing Data
99(13)
Univariate Descriptive Statistics for Qualitative Variables
112(8)
Univariate Descriptive Statistics for Quantitative Variables
120(16)
Unit 6 T Test Procedures 136(21)
One-Sample T Test
137(6)
Paired-Samples T Test
143(6)
Independent-Samples T Test
149(8)
Unit 7 Univariate and Multivariate Analysis-of-Variance Techniques 157(76)
One-Way Analysis of Variance
158(9)
Two-Way Analysis of Variance with Comments about Higher-Way Analysis of Variance
167(20)
One-Way Analysis of Covariance
187(11)
One-Way Multivariate Analysis of Variance
198(10)
One-Way Repeated-Measures Analysis of Variance
208(10)
Two-Way Repeated-Measures Analysis of Variance
218(15)
Unit 8 Correlation, Regression, and Discriminant Analysis Procedures 233(58)
The Pearson Product-Moment Correlation Coefficient
234(9)
Partial Correlations
243(10)
Bivariate Linear Regression
253(10)
Multiple Linear Regression
263(15)
Discriminant Analysis
278(13)
Unit 9 Scaling Procedures 291(36)
Factor Analysis
292(11)
Internal Consistency Estimates of Reliability
303(10)
Item Analysis Using the Reliability Procedure
313(14)
Unit 10 Nonparametric Procedures 327(66)
The Binomial Test
328(7)
One-Sample Chi-Square Test
335(9)
Two-Way Contingency Table Analysis Using Crosstabs
344(11)
Two Independent-Samples Tests: The Mann-Whitney U Test
355(6)
K Independent-Samples Tests: The Kruskal-Wallis and the Median Tests
361(12)
Two Related-Samples Tests: The McNemar, the Sign, and the Wilcoxon Tests
373(11)
K Related-Samples Tests: The Friedman and the Cochran Tests
384(9)
Appendix A Data for Crab Scale and Teacher Scale 393(2)
Appendix B Methods for Controlling Type I Error across Multiple Hypothesis Tests 395(3)
Appendix C Selected Answers to Lesson Exercises 398(23)
References 421(1)
Index 422

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