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Modern statistics for the social and behavioral sciences: a practical introduction

By: Wilcox, Rand.
Material type: materialTypeLabelBookPublisher: Boca Raton CRC Press 2017Edition: 2nd.Description: xxiii, 706 p. Includes bibliographical references and index.ISBN: 9781498796781.Subject(s): Statistical methods | Numeric and graphic summaries | Statistics - Behavioral sciencesDDC classification: 519.5 Summary: Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences provides a two-semester, graduate-level introduction to basic statistical techniques that takes into account recent advances and insights that are typically ignored in an introductory course. Hundreds of journal articles make it clear that basic techniques, routinely taught and used, can perform poorly when dealing with skewed distributions, outliers, heteroscedasticity (unequal variances) and curvature. Methods for dealing with these concerns have been derived and can provide a deeper, more accurate and more nuanced understanding of data. A conceptual basis is provided for understanding when and why standard methods can have poor power and yield misleading measures of effect size. Modern techniques for dealing with known concerns are described and illustrated. https://www.crcpress.com/Modern-Statistics-for-the-Social-and-Behavioral-Sciences-A-Practical-Introduction/Wilcox/p/book/9781498796781
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Slot 1418 (0 Floor, East Wing) Non-fiction 519.5 W4M6 (Browse shelf) Not for Issue 199368

Table of Contents

INTRODUCTION
NUMERICAL AND GRAPHICAL SUMMARIES OF DATA
PROBABILITY AND RELATED CONCEPTS
SAMPLING DISTRIBUTIONS AND CONFIDENCE INTERVALS
HYPOTHESIS TESTING
REGRESSION AND CORRELATION
COMPARING TWO INDEPENDENT GROUPS
COMPARING TWO DEPENDENT GROUPS
ONE-WAY ANOVA
TWO-WAY AND THREE-WAY DESIGNS
SOME MULTIVARIATE METHODS
ROBUST REGRESSION AND MEASURES OF ASSOCIATION
BASIC METHODS FOR ANALYZING CATEGORICAL DATA




Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences provides a two-semester, graduate-level introduction to basic statistical techniques that takes into account recent advances and insights that are typically ignored in an introductory course. Hundreds of journal articles make it clear that basic techniques, routinely taught and used, can perform poorly when dealing with skewed distributions, outliers, heteroscedasticity (unequal variances) and curvature. Methods for dealing with these concerns have been derived and can provide a deeper, more accurate and more nuanced understanding of data. A conceptual basis is provided for understanding when and why standard methods can have poor power and yield misleading measures of effect size. Modern techniques for dealing with known concerns are described and illustrated.

https://www.crcpress.com/Modern-Statistics-for-the-Social-and-Behavioral-Sciences-A-Practical-Introduction/Wilcox/p/book/9781498796781

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