Using SPSS for Windows Analyzing and Understanding Data

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 i...

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Bibliographic Details
Main Authors: Green. Samuel B. , 1947- (Author), Salkind. Neil J. (Author), Akey Theresa M. (Author)
Format: Book
Language:English
Published: Upper Saddle River, N. J. Prentice Hall 2000
Edition:Print book : English : 2nd edition
Subjects:
Online Access:Click Here to View Status and Holdings.
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245 0 0 |a Using SPSS for Windows  |b Analyzing and Understanding Data  |c Samuel B. Green, Neil J. Salkind, Theresa M. Akey 
250 # # |a Print book : English : 2nd edition 
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500 # # |a Silibus FSPU (AP725) 
500 # # |a For Version 9.0 of SPSS. Accompanied by a computer disk with all files needed to work through the lessons. 
504 # # |a Includes bibliographical references and index 
505 0 # |a Introducing SPSS. Getting started with SPSS -- Creating and working with data files -- Working with data -- Working with SPSS charts and output -- Working with SPSS procedures. Creating variables -- T test procedures -- Univariate and multivariate analysis-of-variance techniques -- Correlation, regression, and discriminant analysis procedures -- Scaling procedures -- Nonparametric procedures -- 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. 
520 # # |a 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 
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650 # # |a SPSS 
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700 0 # |a Akey Theresa M.  |e author 
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