00000cam a22000004i 4500 UP-1685594773861387603 Buklod 20070906151824.0 i|||||||||||||| | ta 160412s2004 dcu rb |||1 u|eng d 1591471184 (alk. paper) (iLib)UPBAG-00000022726 BC-50930 Php2,899.00 DLC BAG rda eng BF 39 K55 Kline, Rex B. author. Beyond significance testing reforming data analysis methods in behavioral research Rex B. Kline. Washington, D.C. American Psychological Association 2004. xii, 325 pages 27 cm Methodology in the social sciences Includes bibliographical references (pages 295-311) and index. Introductory concepts -- Changing times -- Fundamental concepts -- What's wrong with statistical tests and where we go from here -- Effect size estimation in comparative studies -- Parametric effect size indexes -- Nonparametric effect size indexes -- Effect size estimation in one-way designs -- Effect size estimation in multifactor designs -- Other alternatives to statistical tests -- Replication and meta-analysis -- Resampling and Bayesian estimation. Practices of data analysis in psychology and related disciplines are changing. This is evident in the longstanding controversy about statistical tests in the behavioral sciences and the increasing number of journals requiring effect size information. This book offers integrative and clear presentations about the limitations of statistical tests and reviews alternative methods of data analysis, such as effect size estimation (at both the group and case levels) and interval estimation (i.e., confidence intervals). Written in a clear and accessible style, it is intended for applied researchers and students who may not have strong quantitative backgrounds. Readers will learn how to measure effect size on continuous or dichotomous outcomes in comparative studies with independent or dependent samples. They will also learn how to calculate and correctly interpret confidence intervals for effect sizes. Numerous research examples from a wide range of areas illustrate the application of these principles and how to estimate substantive significance instead of just statistical significance. Additional alternatives to statistical tests are also described, including meta-analysis, resampling techniques like bootstrapping, and Bayesian estimation. Psychometrics Textbooks. FO UPBAG UPBAG-MAIN BF 39 K55 Book