|Samuel B Green - Using Spss For Windows A 4e (2004) - Used - Trade Paper (P|
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|Using SPSS for Windows and Macintosh : Analyzing and Understanding Data by Neil J. Salkind and Samuel B. Green (2004, Paperback, Revi...|
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|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.|
|Author||Neil J. Salkind, Samuel B. Green|
|Number Of Pages||480 pages|
|Publisher||Prentice Hall PTR|
|LC Classification Number||HA32.G737 2004|
|Table Of Content|
|Table Of Content||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.KIndependent-Samples Tests: The Kruskal-Wallis and the Median Tests. Two Related-Samples Tests: The McNemar, the Sign, and the Wilcoxon Tests.KRelated-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. References. Index.|
Average review score based on 3 user reviews
Needed this for my intro statistics class. Very Helpful, a newer version would probably be helpful for people serious about using SPSS with more modern and up to date software.
It's a good book but I've seen better manuals. I like the step-by-step instructions throughout most of this book, but at times the book assumes users have more pre-existing knowledge than one might expect. For example, some simple calculations require knowledge of typical excel commands. Besides this, illustrations match the program, and I was able to figure out most other instructions in a reasonable time.