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This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background. These books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the application of multilevel analysis in research. It addresses the practical issues that confront those undertaking research and wanting to find the correct answers to research questions. This book is written for non-mathematical researchers and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyse the data. This approach will help to bridge the conceptual and communication gap that exists between those undertaking research and statisticians.

Biomathematics. Biometry. Biostatistics --- Mathematical statistics --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Analysis of variance --- Medical statistics --- Medicine --- Biomedical Research --- Models, Statistical --- Multivariate Analysis --- Statistics as Topic --- multivariaat --- regressie-analyse --- wiskundige statistiek --- Analyses, Multivariate --- Analysis, Multivariate --- Multivariate Analyses --- Biomedical research --- Medical research --- Health --- Health statistics --- Statistics --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design --- Research --- methods --- Statistical methods --- Models, Statistical. --- Multivariate Analysis. --- Analysis of variance. --- Medical statistics. --- methods. --- Research. --- Health Workforce --- Canonical Correlation --- Canonical Correlations --- Correlation, Canonical --- Health Sciences --- General and Others

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Developmental psychology --- Methods in social research (general) --- Mathematical statistics --- Behavioral Sciences --- Data Interpretation, Statistical --- Models, Statistical --- Statistics --- Psychology --- Psychologie --- Research --- Methodology --- Statistical methods --- Recherche --- Méthodologie --- Méthodes statistiques --- Social sciences --- Behavioral Sciences. --- Data Interpretation, Statistical. --- Models, Statistical. --- Statistics as Topic. --- -Psychology --- -Social sciences --- -Behavioral sciences --- Mental philosophy --- Mind --- Science, Mental --- Human biology --- Philosophy --- Soul --- Mental health --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Area Analysis --- Correlation Studies --- Correlation Study --- Correlation of Data --- Data Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Data --- Analyses, Multiple Classification --- Analysis, Area --- Analysis, Data --- Analysis, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Data Analyses --- Data Correlation --- Data Correlations --- Estimation Technic --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Correlation --- Studies, Statistical --- Study, Correlation --- Study, Statistical --- Technic, Estimation --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Statistics as Topic --- Data Interpretations, Statistical --- Interpretation, Statistical Data --- Statistical Data Analysis --- Statistical Data Interpretation --- Data Analysis, Statistical --- Analyses, Statistical Data --- Analysis, Statistical Data --- Data Analyses, Statistical --- Interpretations, Statistical Data --- Statistical Data Analyses --- Statistical Data Interpretations --- Proxemics --- Behavioral Science --- Proxemic --- Science, Behavioral --- Sciences, Behavioral --- -Methodology --- -Statistical methods --- Méthodologie --- Méthodes statistiques --- Research&delete&