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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. Features: Presents an in-depth
description of both classic and modern methods Explains and
illustrates why recent advances can provide more power and a deeper
understanding of data Provides numerous illustrations using the
software R Includes an R package with over 1300 functions Includes
a solution manual giving detailed answers to all of the exercises
This second edition describes many recent advances relevant to
basic techniques. For example, a vast array of new and improved
methods is now available for dealing with regression, including
substantially improved ANCOVA techniques. The coverage of multiple
comparison procedures has been expanded and new ANOVA techniques
are described. Rand Wilcox is a professor of psychology at the
University of Southern California. He is the author of 13 other
statistics books and the creator of the R package WRS. He currently
serves as an associate editor for five statistics journals. He is a
fellow of the Association for Psychological Science and an elected
member of the International Statistical Institute.
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. Features: Presents an in-depth
description of both classic and modern methods Explains and
illustrates why recent advances can provide more power and a deeper
understanding of data Provides numerous illustrations using the
software R Includes an R package with over 1300 functions Includes
a solution manual giving detailed answers to all of the exercises
This second edition describes many recent advances relevant to
basic techniques. For example, a vast array of new and improved
methods is now available for dealing with regression, including
substantially improved ANCOVA techniques. The coverage of multiple
comparison procedures has been expanded and new ANOVA techniques
are described. Rand Wilcox is a professor of psychology at the
University of Southern California. He is the author of 13 other
statistics books and the creator of the R package WRS. He currently
serves as an associate editor for five statistics journals. He is a
fellow of the Association for Psychological Science and an elected
member of the International Statistical Institute.
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