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Nonparametric Statistics for Social and Behavioral Sciences

M. Kraska-MIller
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advanced nonparametric data analysis
Applications Of Nonparametric Procedures
Author_M. Kraska-MIller
behavioral data analysis
Binomial Test
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Category=JMA
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Data Sets
Dialog Box
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Exact Sig
experimental design techniques
Fisher's LSD Procedure
Fisher’s LSD Procedure
Friedman Test
Hodges Lehmann Estimate
Hypothesis Test Summary
Interpretations Of Statistical Results In Social And Behavioral Science Research
Jonckheere Terpstra Test
Kendall's Coefficient
Kendall’s Coefficient
Kruskal Wallis Test
McNemar Change Test
McNemar Test
Moses Test
Nonmathematical Approach To Nonparametric Data Analysis
Nonparametric Book For Students In The Behavioral And Social Sciences
Nonparametric Statistics
Null Hypothesis
Pearson Chi Square Test
psychological measurement tools
quantitative research skills
Randomly Assigned
Related Samples
social science research methods
Spearman Rank Order Correlation
Spss For Conducting Analyses
SPSS Spreadsheet
SPSS statistical procedures
Test Statisticsa
Test Variable List Box
Wilcoxon Signed Rank Test

Product details

  • ISBN 9781466507609
  • Weight: 521g
  • Dimensions: 156 x 234mm
  • Publication Date: 09 Dec 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM’s SPSS software.

This text is the only current nonparametric book written specifically for students in the behavioral and social sciences. Emphasizing sound research designs, appropriate statistical analyses, and accurate interpretations of results, the text:



  • Explains a conceptual framework for each statistical procedure


  • Presents examples of relevant research problems, associated research questions, and hypotheses that precede each procedure


  • Details SPSS paths for conducting various analyses


  • Discusses the interpretations of statistical results and conclusions of the research


With minimal coverage of formulas, the book takes a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter includes examples, exercises, and SPSS screen shots illustrating steps of the statistical procedures and resulting output.
About M. Kraska-MIller

Dr. M. Kraska-Miller is a Mildred Cheshire Fraley Distinguished Professor of Research and Statistics in the Department of Educational Foundations, Leadership, and Technology at Auburn University, where she is also the Interim Director of Research for the Center for Disability Research and Service. Dr. Kraska-Miller is the author of four books on teaching and communications. She has published numerous articles in national and international refereed journals. Her research interests include statistical modeling and applications of statistics to theoretical concepts, such as motivation; satisfaction in jobs, services, income, and other areas; and needs assessments particularly applicable to special populations. She earned a Ph.D. in technical education, statistics from the University of Missouri; an M.S. in technical education, statistics from the University of Wisconsin-Stout; and an M.S. in probability and statistics from Auburn University.

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