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Quantitative methods in social research --- Mathematical statistics --- Analysis of variance --- Psychology --- -Regression analysis --- Social sciences --- -Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Behavioral sciences --- Mental philosophy --- Mind --- Science, Mental --- Human biology --- Philosophy --- Soul --- Mental health --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design --- Mathematical models --- Statistical methods --- -Mathematical models --- Regression analysis --- Factor analysis --- Psychometrics
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Mathematical statistics --- 519.237 --- Multivariate analysis --- 57.087.1 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices --- Multivariate statistical methods --- Biometry. Statistical study and treatment of biological data --- 57.087.1 Biometry. Statistical study and treatment of biological data --- 519.237 Multivariate statistical methods
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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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