Jost Reinecke

This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important topic for practitioners. It also presents current research and new, practically relevant developments in the field, and demonstrates the use of recent multiple imputation techniques designed for situations where distributional assumptions of the classical multiple imputation solutions are violated. In addition, the book features numerous practical tutorials for widely used R software packages to generate multiple imputations (norm, pan and mice). The provided R code and data sets allow readers to reproduce all the examples and enhance their understanding of the procedures. This book is intended for social and health scientists and other quantitative researchers who analyze incompletely observed data sets, as well as master’s and PhD students with a sound basic knowledge of statistics.

This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important topic for practitioners. It also presents current research and new, practically relevant developments in the field, and demonstrates the use of recent multiple imputation techniques designed for situations where distributional assumptions of the classical multiple imputation solutions are violated. In addition, the book features numerous practical tutorials for widely used R software packages to generate multiple imputations (norm, pan and mice). The provided R code and data sets allow readers to reproduce all the examples and enhance their understanding of the procedures. This book is intended for social and health scientists and other quantitative researchers who analyze incompletely observed data sets, as well as master’s and PhD students with a sound basic knowledge of statistics.

This work provides a basic introduction to modeling using structural equations, including a broad survey of potential areas of application. It shows how one can perform relevant analyses of empirical data using widely disseminated modeling programs. This textbook is designed for use in advanced courses in statistics and multivariate analytic methods.

Das Buch thematisiert die theoretische und empirische Bedeutung der Theorie des geplanten Verhaltens für Sexualverhalten und AIDS-präventives Handeln. Die Theorie wird in das sozialwissenschaftliche Forschungsprogramm der rationalen Wahl (Rational Choice) integriert und mit Hilfe einer Untersuchung zum Sexualverhalten Jugendlicher und junger Erwachsener empirisch überprüft. Die untersuchten Personen sind im Abstand von einem Jahr dreimal befragt worden. Komplexe statistische Modelle zeigen Stabilität, Veränderung und Dynamik des theoretischen Konzeptes und geben Hinweise für mögliche Interventionsstrategien zur Verstärkung des Präventionsverhaltens.