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"Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, most texts on social survey analysis have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges. This book aims to provide a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book will discuss definitions and terms, explain the relative attractions of such a design and enumerate in an accessible way the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution. The book is designed for postgraduates and researchers across the social sciences considering the use of quantitative longitudinal data resources in their research. It will also be an excellent text for undergraduate and postgraduate courses on advanced quantitative methods."--Bloomsbury Publishing.
Social sciences --- Longitudinal method --- #SBIB:303H520 --- #SBIB:303H522 --- Longitudinal research --- Longitudinal studies --- Methodology --- Research --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Statistical methods --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Methoden sociale wetenschappen: handboeken statistische analyse --- Longitudinal method. --- Statistical methods. --- Longitudinal studies.
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Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor, auto accidents or job hiring. This analysis provides a comprehensive account of models and methods to interpret such data. The authors have conducted research in the field for nearly fifteen years and in this work combine theory and practice to make sophisticated methods of analysis accessible to practitioners working with widely different types of data and software. The treatment will be useful to researchers in areas such as applied statistics, econometrics, operations research, actuarial studies, demography, biostatistics, quantitatively-oriented sociology and political science. The book may be used as a reference work on count models or by students seeking an authoritative overview. The analysis is complemented by template programs available on the Internet through the authors' homepages.
Regression Analysis --- Econometrics --- Business, Economy and Management --- Economics --- Mathematical statistics --- Regression analysis. --- Econometrics. --- Analyse de régression --- Econométrie --- Economics, Mathematical --- Statistics --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Regression analysis --- 519.536 --- 303.5 --- AA / International- internationaal --- 330.115 --- 519.235 --- 330.115 Econometrie --- Econometrie --- 519.235 Statistics of dependent variables. Contingency tables --- Statistics of dependent variables. Contingency tables --- 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) --- Wiskundige statistiek --- #SBIB:303H520 --- #SBIB:303H522 --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Methoden sociale wetenschappen: handboeken statistische analyse
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This book provides a systematic exposition of a group-based statistical method for analyzing longitudinal data in the social and behavioral sciences and in medicine. The methods can be applied to a wide range of data, such as that describing the progression of delinquency and criminality over the life course, changes in income over time, the course of a disease or physiological condition, or the evolution of the socioeconomic status of communities.
Longitudinal method. --- Longitudinal research --- Longitudinal studies --- Methodology --- Research --- Social sciences --- Longitudinal method --- Longitudinal Studies --- Psychology --- Models, Psychological --- Models, Statistical --- Age Factors --- Age Reporting --- Age Factor --- Factor, Age --- Factors, Age --- 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 --- Model, Mental --- Model, Psychological --- Models, Mental --- Models, Psychologic --- Psychological Models --- Mental Model --- Mental Models --- Model, Psychologic --- Psychologic Model --- Psychologic Models --- Psychological Model --- Bogalusa Heart Study --- California Teachers Study --- Framingham Heart Study --- Jackson Heart Study --- Longitudinal Survey --- Tuskegee Syphilis Study --- Bogalusa Heart Studies --- California Teachers Studies --- Framingham Heart Studies --- Heart Studies, Bogalusa --- Heart Studies, Framingham --- Heart Studies, Jackson --- Heart Study, Bogalusa --- Heart Study, Framingham --- Heart Study, Jackson --- Jackson Heart Studies --- Longitudinal Study --- Longitudinal Surveys --- Studies, Bogalusa Heart --- Studies, California Teachers --- Studies, Jackson Heart --- Studies, Longitudinal --- Study, Bogalusa Heart --- Study, California Teachers --- Study, Longitudinal --- Survey, Longitudinal --- Surveys, Longitudinal --- Syphilis Studies, Tuskegee --- Syphilis Study, Tuskegee --- Teachers Studies, California --- Teachers Study, California --- Tuskegee Syphilis Studies --- methods --- #SBIB:303H522 --- Methoden sociale wetenschappen: handboeken statistische analyse
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