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Mathematical statistics --- QA 279 Analysis of variance and covariance. Experimental design. / General works --- Analysis of Variance --- Distribution (Probability theory) --- Linear Models --- 519.2 --- Probability. Mathematical statistics --- Analysis of variance. --- Linear models (Statistics) --- Distribution (Probability theory). --- Linear models (Statistics). --- 519.2 Probability. Mathematical statistics --- Analysis of variance --- Models, Linear (Statistics) --- Mathematical models --- Statistics --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design

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The main methods, techniques and issues for carrying out multilevel modeling and analysis are covered in this book. The book is an applied introduction to the topic, providing a clear conceptual understanding of the issues involved in multilevel analysis and will be a useful reference tool. Information on designing multilevel studies, sampling, testing and model specification and interpretation of models is provided. A comprehensive guide to the software available is included. Multilevel Analysis is the ideal guide for researchers and applied statisticians in the social sciences, including education, but will also interest researchers in economics, and biological, medical and health disciplines.

Quantitative methods in social research --- Multivariate analysis --- #PBIB:2000.1 --- #SBIB:303H520 --- 519.2 --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Multivariate analysis. --- QA 278 Multivariate analysis -- General Works. --- Statistics --- Analyse multivariée

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Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size.

Social sciences --- -Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Methodology --- Sampling (Statistics) --- 519.2 --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Random sampling --- Statistics of sampling --- Statistics --- Mathematical statistics --- Statistical methods --- Quantitative methods in social research --- Statistical science --- #SBIB:303H10 --- Methoden en technieken: algemene handboeken en reeksen --- Sampling (Statistics). --- Methodology. --- Statistical methods. --- Sciences sociales --- Echantillonnage (Statistique) --- Méthodes statistiques --- Méthodologie --- Social sciences - Statistical methods --- Social sciences - Methodology --- QA 276.6 Sampling theory and methods

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This book examines ways to analyze complex surveys, and focuses on the problems of weights and design effects. This new edition incorporates recent practice of analyzing complex survey data, introduces the new analytic approach for categorical data analysis (logistic regression), reviews new software and provides an introduction to the model-based analysis that can be useful analyzing well-designed, relatively small-scale social surveys.

Mathematics --- Social surveys --- Statistical methods --- QA 276 .L328 Mathematical statistics --- Mathematical statistics --- Social surveys - Statistical methods --- Mathematical statistics. --- Statistique mathématique --- Enquêtes sociales --- Statistical methods. --- Méthodes statistiques --- #SBIB:303H10 --- 519.2 --- Community surveys --- Surveys, Social --- Social sciences --- Surveys --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Methoden en technieken: algemene handboeken en reeksen --- Research --- Quantitative methods in social research

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Analysis of variance --- Regression analysis --- Social sciences --- regressie-analyse --- wiskundige statistiek --- #SBIB:303H520 --- 37.012 --- 519.2 --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design --- 37.012 Onderzoeksmethoden bij opvoeding en onderwijs --- Onderzoeksmethoden bij opvoeding en onderwijs --- Statistical methods --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Regression Analysis --- Analysis of variance. --- Regression analysis. --- Methoden en technieken --- Statistical methods. --- handboeken en inleidingen. --- Quantitative methods in social research --- Handboeken en inleidingen. --- HA 29 Theory and method of social science statistics - General works --- Analysis of Variance