000			03695nam a2200373#a 4500
001			0000019828
002			16866205
003			NIH
005			20240220140614.0
008			240220s2012 xx 000 0 eng d
010			_a2011023926
020			_a9780415877688 _q(hardback)
020			_a9780415877695 _q(softcover)
040			_aIPSK
042			_apcc
082			_a519.5/38 _223
084			_aPSY032000 _aEDU027000 _aSOC027000 _bbisacsh
090			_aQA279 _b.G75 2012
100			_aGrissom, Robert J. _eauthor.
245		0	_aEffect sizes for research: _bunivariate and multivariate applications/ _cby Robert J. Grissom, John J. Kim.
250			_a2nd ed.
260			_aNew York: _bRoutledge, _cc2012.
300			_axvii, 434 p.: _bill.; _c23 cm.
504			_aIncludes bibliographical references (p. 391-419) and indexes.
520			_a"Noted for its comprehensive coverage, this greatly expanded new edition now covers the use of univariate and multivariate effect sizes. A variety of measures and estimators are reviewed along with their application, interpretation, and limitations. Noted for its practical approach, the book features numerous examples using real data for a variety of variables and designs, to help readers apply the material to their own data. Tips on the use of SPSS, SAS, R, And S-Plus are provided for the more tedious calculations. The book's broad disciplinary appeal results from its inclusion of a variety of examples from psychology, medicine, education, and other social sciences. Special attention is paid to confidence intervals, the statistical assumptions of the methods, and robust estimators of effect sizes. The extensive reference section is appreciated by all. With more than 40% new material, highlights of the new edition include: Three new multivariate chapters covering effect sizes for analysis of covariance, multiple regression/correlation, and multivariate analysis of variance. More learning tools in each chapter including introductions, summaries, "Tips and Pitfalls" and more conceptual and computational questions. More coverage of univariate effect sizes, confidence intervals, and effect sizes for repeated measures to reflect their increased use in research. More software references for calculating effect sizes and their confidence intervals including SPSS, SAS, R, and S-Plus. The data used in the book is now provided on the web along with suggested calculations for computational practice. Effect Sizes for Research, 2nd Edition covers standardized and unstandardized differences between means, correlational measures, strength of association, and parametric and nonparametric measures for between- and within-groups data. The book clearly demonstrates how the choice of an appropriate measure depends on such factors as whether variables are categorical, ordinal, or continuous; satisfying assumptions; sampling; and the source of variability in the population. Background information on multivariate statistics is provided for those who need it. Intended as a resource for professionals, researchers, and advanced students in a variety of fields, this book is also an excellent supplement for advanced statistics courses in psychology, education, the social sciences, business, and medicine. A prerequisite of introductory statistics through factorial analysis of variance and chi-square is recommended"--
650	1	0	_aAnalysis of variance.
650	2	0	_aEDUCATION / Statistics. _bbisacsh
650	2	0	_aEffect sizes (Statistics)
650	2	0	_aExperimental design.
650	2	0	_aPSYCHOLOGY / Statistics. _bbisacsh
650	2	0	_aSOCIAL SCIENCE / Statistics. _bbisacsh
700			_aKim, John J.
942			_cOS
999			_c13919 _d13919