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"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"--

Analysis of variance --- Effect sizes (Statistics) --- Experimental design --- Analyse de variance --- Plan d'expérience --- Effect sizes --- Univariate applications --- Multivariate applications --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experiments --- Methodology --- Analyse de variance. --- Plan d'expérience. --- Analysis of variance. --- EDUCATION / Statistics. --- Effect sizes (Statistics). --- Experimental design. --- PSYCHOLOGY / Statistics. --- SOCIAL SCIENCE / Statistics. --- Plan d'expérience.

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This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata.

AA / International- internationaal --- 305.971 --- Speciale gevallen in econometrische modelbouw. --- Longitudinal method. --- Panel analysis. --- Social sciences --- Mathematical models. --- Research --- Statistical methods. --- Longitudinal method --- Panel analysis --- Statistical methods --- Mathematical models --- -Longitudinal method --- -Social sciences --- -#SBIB:303H520 --- Panel studies --- Longitudinal research --- Longitudinal studies --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- -Statistical methods --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- #SBIB:303H520 --- Statistics --- Methodology --- Civilization --- Research&delete& --- Quantitative methods in social research --- Mathematical statistics --- Speciale gevallen in econometrische modelbouw --- Social sciences. --- Statistics - General --- Social Sciences --- HA 29 Theory and method of social science statistics - General works --- Mathematical Sciences --- Probability --- Social sciences - Research - Statistical methods --- Social sciences - Mathematical models --- Social sciences - Statistical methods

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Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all Mplus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets . The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.

Structural equation modeling --- Multivariate analysis --- Social sciences --- Modèles d'équations structurales --- Analyse multivariée --- Sciences sociales --- Statistical methods --- Méthodes statistiques --- Mplus --- PSYCHOLOGY / Statistics. --- EDUCATION / Statistics. --- SOCIAL SCIENCE / Statistics. --- Mplus. --- Methodologie sociale wetenschappen, analysetechnieken --- #SBIB:303H520 --- PBIB --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- SEM (Structural equation modeling) --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Data processing --- Statistical methods&delete& --- Programming --- Quantitative methods in social research --- Mathematical statistics --- Data processing. --- Social sciences - Statistical methods