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Research Methods for Empirical Legal Studies gives an overview of methods for empirical legal research. It begins with general methodological issues, such as reliability and validity as well as research ethics. Subsequently, the book discusses data collection: sampling, interviewing, observation and survey instruments, and research design. Then, data analysis methods are introduced, for qualitative as well as quantitative data. In separate chapters, statistical testing and multivariate analysis are explained. Each chapter ends with questions on key issues. Using a minimum of formulas, the text gives numerous examples to facilitate comprehension of the various methodologies. A final chapter showcases three worked examples on labour law, liability law and sentencing, that together cover the scope of qualitative and quantitative research methods for empirical legal studies.Catrien Bijleveld is a research methodologist and a lawyer. She is professor of Research Methods in Empirical Legal Studies and Criminology at Vrije Universiteit Amsterdam.

Criminology --- Legal research --- Methodology --- Legal research. --- Criminologie --- Droit --- Forschungsmethode. --- Rechtswissenschaft. --- Empirische Forschung. --- Methodology. --- Méthodologie. --- Recherche documentaire.

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Crime prevention --- Education and crime --- Juvenile delinquency --- Unemployment --- Joblessness --- Employment (Economic theory) --- Full employment policies --- Labor supply --- Manpower policy --- Right to labor --- Underemployment --- Crime and education --- Crime --- Prevention of crime --- Public safety --- Social aspects --- Prevention --- Government policy

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#PBIB:2004.1 --- #PBIB:gift 2004

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Regression Analysis. --- Cross-Sectional Studies. --- Models, Statistical. --- 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 --- Analysis, Regression --- Regression Diagnostics --- Statistical Regression --- Analyses, Regression --- Diagnostics, Regression --- Regression Analyses --- Regression, Statistical --- Regressions, Statistical --- Statistical Regressions --- Theses --- Regression analysis --- CROSS-SECTIONAL STUDIES --- Models --- statistical --- Regression analysis. --- CROSS-SECTIONAL STUDIES. --- statistical. --- Cross-sectional studies. --- Statistical. --- Analysis, Cross-Sectional --- Cross Sectional Analysis --- Cross-Sectional Survey --- Surveys, Disease Frequency --- Disease Frequency Surveys --- Prevalence Studies --- Analyses, Cross Sectional --- Analyses, Cross-Sectional --- Analysis, Cross Sectional --- Cross Sectional Analyses --- Cross Sectional Studies --- Cross Sectional Survey --- Cross-Sectional Analyses --- Cross-Sectional Analysis --- Cross-Sectional Study --- Cross-Sectional Surveys --- Disease Frequency Survey --- Prevalence Study --- Studies, Cross-Sectional --- Studies, Prevalence --- Study, Cross-Sectional --- Study, Prevalence --- Survey, Cross-Sectional --- Survey, Disease Frequency --- Surveys, Cross-Sectional --- Regression Analysis --- Cross-Sectional Studies --- Models, Statistical