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While there are many books available on statistical analysis of data from experiments, there is significantly less available on the design, development, and actual conduct of the experiments. Laboratory Experiments in the Social Sciences summarizes how to design and conduct scientifically sound experiments, be they from surveys, interviews, observations, or experimental methods. The book encompasses how to collect reliable data, the appropriate uses of different methods, and how to avoid or resolve common problems in experimental research. Case study examples illustrate how multiple
Social sciences --- Experimental design. --- Experiments. --- Sciences sociales --- Plan d'expérience --- Expériences.
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Mathematical statistics --- Quantitative methods (economics) --- Experimental design. --- Experimenteel ontwerp. --- Variantieanalyse. --- Plan d'expérience. --- Analyse des données. --- Analyse factorielle --- Factor analysis --- Statistique --- Experimentation
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Revised and expanded, this popular text explores the basic methodology of paired comparisons, incorporating recent developments in research by statisticians, psychometricians, mathematicians, and economists. The emphasis continues to be on nonparametric procedures that are widely applicable, and on the analogy between comparisons and tournaments. Design, analysis, and the choice of probability models are fully discussed. The number of bibliographical references has nearly doubled since the book first appeared. This extensive reference work will interest readers from many fields, including statistics, psychometrics, epidemiology, and economics.
Research Design --- Statistics --- Experimental design --- Paired comparisons (Statistics) --- Plan d'expérience --- Experimental design. --- Paired comparisons (Statistics). --- Plan d'expérience --- Research Design.
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Statistical mathematics --- Experimental design --- Statistique mathématique --- Plan d'expérience --- experimentation. --- experimentation --- Statistical methods --- Agriculture --- Plan d'expérience --- Mathematical models --- Méthodes statistiques
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Expérimentation --- experimentation --- Méthode statistique --- Statistical methods --- Agriculture --- Plan d'expérience. --- Agronomie. --- Modèle mathématique --- Optimisation mathématique. --- Planification stratégique --- Statistique mathématique. --- Surfaces de réponse (statistique). --- Agronomie --- Plan d'expérience --- Basic Sciences. Statistics --- Recherche en milieu rural réel. --- Recherche --- Méthodes statistiques. --- Experimental Design --- Modèle mathématique. --- Méthode statistique. --- Planification stratégique. --- Agriculture. --- Experimental Design. --- experimentation. --- Mathematical statistics --- Experimental design --- Statistique mathématique
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Experimental design --- Plan d'expérience --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology --- Experimental design. --- Plan d'expérience
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Experimental design --- Psychology --- Psychology, Experimental --- Plan d'expérience --- Psychologie --- Psychologie expérimentale --- Research --- Recherche --- Experimental design. --- Psychology, Experimental. --- Methoden en technieken --- Research. --- algemene methodologie --- algemene methodologie. --- Algemene methodologie. --- Plan d'expérience --- Psychologie expérimentale
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Psychology, Experimental --- Experimental design --- Psychology --- Psychologie expérimentale --- Plan d'expérience --- Psychologie --- Case studies --- Cas, etudes de --- Experimental design. --- Psychology, Experimental. --- Experimentele psychologie --- Case studies. --- handboeken en inleidingen --- handboeken en inleidingen. --- Handboeken en inleidingen. --- Psychologie expérimentale --- Plan d'expérience
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Agriculture --- Landbouw --- Science --- Sciences --- Experiments --- Handbooks, manuals, etc --- Case studies --- Expériences --- Guides, manuels, etc --- Cas, Etudes de --- Méthode statistique --- Statistical methods --- Expérimentation --- experimentation --- Sao Tomé-et-Principe --- Sao Tome and Principe --- 519.242 --- Experimental design. Optimal designs. Block designs --- 519.242 Experimental design. Optimal designs. Block designs --- Expériences --- Mathematical statistics --- Basic Sciences. Statistics --- Statistics (General). --- #ABIB:astp --- experimentation. --- Experimental design --- Statistique mathématique --- Plan d'expérience --- Statistique mathématique. --- Plan d'expérience. --- Handbooks, manuals, etc. --- Mathematical statistics. --- Statistique mathématique --- Principe d'experimentation
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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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