Nonparametric Statistics For Social And Behavioral Sciences

Author : M. Kraska-MIller
Publisher : CRC Press
ISBN 13 : 1466507624
Total Pages : 250 pages
Book Rating : 4.23/5 ( download)

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Download or read book Nonparametric Statistics for Social and Behavioral Sciences written by M. Kraska-MIller and published by CRC Press. This book was released on 2013-12-09 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Sidney Siegel
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.29/5 ( download)

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Download or read book Nonparametric Statistics for the Behavioral Sciences written by Sidney Siegel and published by McGraw-Hill Companies. This book was released on 1956 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of statistical tests in research; Choosing an appropriate statistical test; The one-sample case; The case of two related samples; The case of two independent samples; The case of k related samples; The case of k independent samples; Measures of correlatin and their tests of significance.

Author : Sidney Siegel
Publisher : McGraw-Hill Humanities, Social Sciences & World Languages
ISBN 13 :
Total Pages : 440 pages
Book Rating : 4.57/5 ( download)

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Download or read book Nonparametric Statistics for the Behavioral Sciences written by Sidney Siegel and published by McGraw-Hill Humanities, Social Sciences & World Languages. This book was released on 1988 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revision of the classic text in the field, adding two new chapters and thoroughly updating all others. The original structure is retained, and the book continues to serve as a combined text/reference.

Author : Sidney SIEGEL (Professor of Psychology, Pennsylvania State University.)
Publisher :
ISBN 13 : 9780705734349
Total Pages : 312 pages
Book Rating : 4.4X/5 ( download)

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Download or read book Nonparametric Statistics for the Behavioral Sciences written by Sidney SIEGEL (Professor of Psychology, Pennsylvania State University.) and published by . This book was released on 1956 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : M. Kraska-MIller
Publisher : CRC Press
ISBN 13 : 1466507608
Total Pages : 262 pages
Book Rating : 4.09/5 ( download)

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Download or read book Nonparametric Statistics for Social and Behavioral Sciences written by M. Kraska-MIller and published by CRC Press. This book was released on 2013-12-09 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Renee R. Ha
Publisher : SAGE Publications
ISBN 13 : 1483341844
Total Pages : 97 pages
Book Rating : 4.42/5 ( download)

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Download or read book Study Guide to Accompany Integrative Statistics for the Social and Behavioral Sciences written by Renee R. Ha and published by SAGE Publications. This book was released on 2011-06-28 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Student Study Guide to accompany Renee Ha and James Ha's 'Integrative Statistics for the Social and Behavioral Sciences' includes notes to the student, and multiple choice and short answer questions. Exercises are also included for students to test and apply their knowledge. Answers to all questions are also included. This Student Study Guide is also available in a bundle with the textbook at a discounted price. Bundle ISBN: 9781452205304.

Author : Barry H. Cohen
Publisher : John Wiley & Sons
ISBN 13 : 0471480762
Total Pages : 291 pages
Book Rating : 4.61/5 ( download)

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Download or read book Essentials of Statistics for the Social and Behavioral Sciences written by Barry H. Cohen and published by John Wiley & Sons. This book was released on 2004-04-01 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the essential statistical skills used in social andbehavioral sciences Essentials of Statistics for the Social and Behavioral Sciencesdistills the overwhelming amount of material covered inintroductory statistics courses into a handy, practical resourcefor students and professionals. This accessible guide covers basicto advanced concepts in a clear, concrete, and readablestyle. Essentials of Statistics for the Social and Behavioral Sciencesguides you to a better understanding of basic concepts ofstatistical methods. Numerous practical tips are presented forselecting appropriate statistical procedures. In addition, thisuseful guide demonstrates how to evaluate and interpret statisticaldata, provides numerous formulas for calculating statistics fromtables of summary statistics, and offers a variety of workedexamples. As part of the Essentials of Behavioral Science series, this bookoffers a thorough review of the most relevant statistical conceptsand techniques that will arm you with the tools you'll need forknowledgeable, informed practice. Each concise chapter featuresnumerous callout boxes highlighting key concepts, bulleted points,and extensive illustrative material, as well as "Test Yourself"questions that help you gauge and reinforce your grasp of theinformation covered.

Author : Sidney Siegel
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.44/5 ( download)

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Download or read book Nonparametric Statistics for the Behavioral Sciences written by Sidney Siegel and published by . This book was released on 1972 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Gregory W. Corder
Publisher : John Wiley & Sons
ISBN 13 : 1118211251
Total Pages : 199 pages
Book Rating : 4.50/5 ( download)

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Download or read book Nonparametric Statistics for Non-Statisticians written by Gregory W. Corder and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for readers with a background in the social, behavioral, biological, and physical sciences. Each chapter follows the same comprehensive format, beginning with a general introduction to the particular topic and a list of main learning objectives. A nonparametric procedure is then presented and accompanied by context-based examples that are outlined in a step-by-step fashion. Next, SPSS® screen captures are used to demonstrate how to perform and recognize the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields. Using this organized structure, the book outlines essential skills for the application of nonparametric statistical methods, including how to: Test data for normality and randomness Use the Wilcoxon signed rank test to compare two related samples Apply the Mann-Whitney U test to compare two unrelated samples Compare more than two related samples using the Friedman test Employ the Kruskal-Wallis H test to compare more than two unrelated samples Compare variables of ordinal or dichotomous scales Test for nominal scale data A detailed appendix provides guidance on inputting and analyzing the presented data using SPSS®, and supplemental tables of critical values are provided. In addition, the book's FTP site houses supplemental data sets and solutions for further practice. Extensively classroom tested, Nonparametric Statistics for Non-Statisticians is an ideal book for courses on nonparametric statistics at the upper-undergraduate and graduate levels. It is also an excellent reference for professionals and researchers in the social, behavioral, and health sciences who seek a review of nonparametric methods and relevant applications.

Author : Jared A. Linebach
Publisher : Springer Science & Business Media
ISBN 13 : 1461490413
Total Pages : 416 pages
Book Rating : 4.18/5 ( download)

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Download or read book Nonparametric Statistics for Applied Research written by Jared A. Linebach and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​​Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the behavioral sciences and biomedicine. This is a textbook on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly fictional situation and series of dialogues to illustrate in detail the statistical processes required to complete data analysis. This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities. The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text. The “real world” scenario to be presented involves a multidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems. The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem. In this way, abstract statistical concepts are translated into concrete and specific language. This text uses one data set from which all examples are taken. This is radically different from other statistics books which provide a varied array of examples and data sets. Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data.