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008 120612s2012 nyu b 001 0 eng
020 _a9780415877688 (hbk.)
_cRM423.30
020 _a9780415877695 (pbk.)
039 9 _a201210021216
_bzabidah
_c201209201604
_drasyilla
_y06-12-2012
_zrasyilla
040 _aDLC
_cDLC
_dUKM
090 _aQA279.G754 2012
090 _aQA279
_b.G754 2012
100 1 _aGrissom, Robert J.
245 1 0 _aEffect sizes for research :
_bunivariate and multivariate applications /
_cby Robert J. Grissom, John J. Kim.
250 _a2nd ed.
260 _aNew York :
_bRoutledge,
_c2012.
300 _axvii, 434 p. ;
_c24 cm.
504 _aIncludes bibliographical references and index.
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 editon 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'--
_cProvided by publisher.
650 0 _aAnalysis of variance.
650 0 _aEffect sizes (Statistics)
650 0 _aExperimental design.
700 1 _aKim, John J.
907 _a.b15394001
_b2019-11-12
_c2019-11-12
942 _c01
_n0
_kQA279.G754 2012
914 _avtls003504222
990 _aza
991 _aFakulti Sains dan Teknologi
998 _at
_b2012-12-06
_cm
_da
_feng
_gnyu
_y0
_z.b15394001
999 _c522898
_d522898