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Educational statistics. --- Education --- Single subject research. --- Experimental design. --- Effect sizes (Statistics) --- Research --- Methodology.
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Educational statistics. --- Education --- Single subject research. --- Experimental design. --- Effect sizes (Statistics) --- Research --- Methodology.
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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 succinct and jargon-free introduction to effect sizes gives students and researchers the tools they need to interpret the practical significance of their results. Using a class-tested approach that includes numerous examples and step-by-step exercises, it introduces and explains three of the most important issues relating to the practical significance of research results: the reporting and interpretation of effect sizes (Part I), the analysis of statistical power (Part II), and the meta-analytic pooling of effect size estimates drawn from different studies (Part III). The book concludes with a handy list of recommendations for those actively engaged in or currently preparing research projects.
#SBIB:303H510 --- #SBIB:303H520 --- dataverwerking --- wiskundige statistiek --- kwantitatieve methoden --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Méta-analyse --- Médecine clinique --- méthodes statistiques --- Effect sizes (Statistics) --- Effect sizes (Statistics). --- Research --- Sampling (Statistics) --- Statistical methods --- Analysis of variance. --- Sampling (Statistics). --- Statistical methods. --- Statistique --- Méta-analyse. --- Statistique. --- méthodes statistiques. --- Random sampling --- Statistics of sampling --- Statistics --- Mathematical statistics --- Business, Economy and Management --- Business Management --- Research - Statistical methods --- Sampling Studies --- Meta-Analysis as Topic --- statistics and numerical data --- Analysis of variance
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Methods in social research (general) --- Analysis of variance. --- Experimental design. --- Analyse de variance --- Plan d'expérience --- Analysis of variance --- Effect sizes (Statistics) --- Experimental design --- #SBIB:303H520 --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Experiments --- Methodology --- Plan d'expérience
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