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Using SPSS for the Windows and Macintosh: Analyzing and Understanding Data with CDROM
Synopses & Reviews
Will help anyone use SPSS to successfully analyze data, interpret results, and describe findings. This complete introductory guide to SPSS has been thoroughly updated for the software's latest versions: 12.0 for Windows and 11.0 for Macintosh. It has also been revised throughout for greater accessibility, simplicity, and ease of use. The book provides step-by-step walkthroughs of every basic SPSS and statistical technique, along with tips, examples, exercises, and extensive pedagogical support designed to promote rapid learning. Coverage includes: mastering the SPSS interface; creating and working with data files; defining and creating variables; working with data, charts, and output; univariate descriptive statistics; univariate and multivariate analyses; correlation, regression, and discriminate analysis; scaling and nonparametric procedures; and more. For everyone who wants to master the latest versions of SPSS. SPSS is used in a wide range of markets, including psychology and other areas of scientific research; marketing and surveys; financial services and insurance; education; government; telecommunications; and beyond.
This book offers guidance to Windows and Macintosh users on the basics of SPSS and applying SPSS to solve statistical problems. This new edition has been revised to be used by both novices and experts. It helps readers learn how to select the appropriate statistical methods, conduct these methods using SPSS, and write results using APA Style guidelines. Topics covered in the comprehensive book include introducing the basics of SPSS; creating and working with data files; working with data; working with SPSS charts and output; creating variables; t test procedures; univariate and multi-variate analysis-of-variance techniques; correlation, regression, and discriminant analysis procedures; scaling procedures; and nonparametric procedures. For research directors, psychologists, psychiatrists, and statisticians.
Table of Contents
I. Introducing SPSS.
1. Getting Started with SPSS.
Starting SPSS. The SPSS Main Menus and Toolbar. Using SPSS Help. A Brief SPSS Tour.
2. Creating and Working with Data Files.
Defining Variables. Entering and Editing Data. Inserting and Deleting Cases and Variables. Selecting, Copying, Cutting, and Pasting Data. Printing and Exiting an SPSS Data File. Exporting and Importing SPSS Data.
3. Working with Data.
Finding Values, Variables, and Cases. Recoding Data and Computing Values. Sorting, Transposing, and Ranking Data. Splitting and Merging Files.
4. Working with SPSS Charts and Output.
Creating an SPSS Chart. Enhancing SPSS Charts. Using the Viewer.
II. WORKING WITH SPSS PROCEDURES.
5. Creating Variables and Computing DescriptiveStatistics.
Creating Variables. Univariate Descriptive Statistics for Qualitative Variables. Univariate Descriptive Statistics for Quantitative Variables.
6. Test Procedures.
One-Sample Test. Paired-Samples Test. Independent-Samples Test.
7. Univariate and Multivariate Analysis-of-Variance Techniques.
One-Way Analysis of Variance. Two-Way Analysis of Variance. One-Way Analysis. One-Way Multivariate Analysis of Variance. One-Way Repeated-Measures Analysis of Variance. Two-Way Repeated-Measures Analysis of Variance.
8. Correlation, Regression, and Discriminant Analysis Procedures.
Pearson Product-Moment Correlation Coefficient. Partial Correlations. Bivariate Linear Regression. Multiple Linear Regression. Discriminant Analysis.
9. Scaling Procedures.
Factor Analysis. Internal Consistency Estimates of Reliability. Item Analysis Using the Reliability Procedure.
10. Nonparametric Procedures.
Binomial Test. One-Sample Chi-Square Test. Two-Way Contingency Table Analysis Using Crosstabs. Two Independent-Samples Tests: The Mann-Whitney U Test. K Independent-Samples Tests: The Kruskal-Wallis and the Median Tests. Two Related-Samples Tests: The McNemar, the Sign, and the Wilcoxon Tests. K Related-Samples Tests: The Friedman and the Cochran Tests.
Appendix A. Data for Crab Scale and Teacher Scale.
Appendix B. Methods for Controlling Type I Error across Multiple Hypothesis Tests.
Appendix C. Selected Answers to Lesson Exercises.
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