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This book provides an alternative method for measuring individual differences in psychological, educational, and other behavioral sciences studies. It is based on the assumptions of ordinal statistics as explained in Norman Cliff's 1996 Ordinal Methods for Behavioral Data Analysis. It provides the necessary background on ordinal measurement to permit its use to assess psychological and psychophysical tests and scales and interpret the data obtained. The authors believe that some of the behavioral measurement models used today do not fit the data or are inherently self-contradictory. App

Psychology --- Social sciences --- Analysis of variance. --- Psychological tests --- Mental tests --- Psychological assessment --- Tests, Psychological --- Testing --- Clinical psychology --- Educational tests and measurements --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design --- Factor analysis --- Psychometrics --- Mathematical models. --- Statistical methods. --- Methodology

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Mathematical statistics --- Measure theory. Mathematical integration --- Statistics as Topic --- Analysis of Variance. --- Biometry. --- 303.7 --- Analysis of variance --- Biometry --- Sampling (Statistics) --- Random sampling --- Statistics of sampling --- Statistics --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design --- Anthropology, Physical --- Analysis, Variance --- Variance Analysis --- ANOVA --- Analyses, Variance --- Variance Analyses --- methods. --- Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- Statistical methods --- 303.7 Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- Analysis of Variance --- methods --- Statistique mathématique --- Mathematical statistics. --- Statistique mathématique --- Statistique médicale --- Biostatistique

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Panel data models have become increasingly popular among applied researchers due to their heightened capacity for capturing the complexity of human behavior as compared to cross-sectional or time series data models. As a consequence, richer panel data sets also have become increasingly available. This 2003 second edition is a substantial revision of the highly successful first edition of 1986. Advances in panel data research are presented in a rigorous and accessible manner and are carefully integrated with the older material. The thorough discussion of theory and the judicious use of empirical examples make this book useful to graduate students and advanced researchers in economics, business, sociology, political science, etc. Other specific revisions include the introduction of the notion of strict exogeneity with estimators presented in a generalized method of moments framework, the notion of incidental parameters, more intuitive explanations of pairwise trimming, and discussion of sample selection dynamic panel models.

Econometrics --- Panel analysis --- Analysis of variance --- 330.015195 --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design --- Panel studies --- Social sciences --- Statistics --- Economics, Mathematical --- Methodology --- Analysis of variance. --- Econometrics. --- Panel analysis. --- Business, Economy and Management --- Economics --- Quantitative methods (economics) --- Econométrie --- Panel (Psychologie sociale) --- Analyse de variance --- 330.115 --- Kwantitatieve methoden (economie) --- econometrie --- wiskundige statistiek --- 330.115 Econometrie --- Econometrie --- 303.5 --- 330.3 --- AA / International- internationaal --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- Methode in staathuishoudkunde. Statische, dynamische economie. Modellen. Experimental economics --- STATISTIQUE --- ANALYSE DE VARIANCE --- ECONOMETRIE --- ANALYSE DES DONNEES EN PANEL