This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illuminate the regularities in the trajectories of individual development, as well as time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social sciences, models of change have become increasingly important. This collection focuses on methodological, statistical, and modeling aspects of multivariate change and applications of longitudinal models to the study of psychological processes. The volume is divided into three major sections: Extension of latent change models, Measurement and testing issues in longitudinal modeling, and Novel applications of multivariate longitudinal methodology. It is intended for advanced students and researchers interested in learning about state-of-the-art techniques for longitudinal data analysis, as well as understanding the history and development of such techniques.

This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illuminate the regularities in the trajectories of individual development, as well as time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social sciences, models of change have become increasingly important. This collection focuses on methodological, statistical, and modeling aspects of multivariate change and applications of longitudinal models to the study of psychological processes. The volume is divided into three major sections: Extension of latent change models, Measurement and testing issues in longitudinal modeling, and Novel applications of multivariate longitudinal methodology. It is intended for advanced students and researchers interested in learning about state-of-the-art techniques for longitudinal data analysis, as well as understanding the history and development of such techniques.

*Shows researchers in psychology, education, and related fields the steps needed to apply machine learning to large data sets. *Focuses on topics most applicable to behavioral and social scientists, rather than computer scientists. *Uses examples from mental health, educational testing, and personality assessment to illustrate key concepts. *Specifies the time and resources needed per technique; the companion website provides the R code used for the examples. *Of particular interest in the U.S., Germany, Scandinavia, and the Netherlands.

Exploring the challenges and risks of social science fieldwork, this book shares best practice for conducting research in hostile environments and pragmatic advice to help you make good decisions. Drawing on the authors' experiences in regions of conflict and grounded in real-world examples, the book: * Provides practical guidance on important considerations like choosing a research question in sensitive contexts * Gives advice on data and digital security to help you minimize fieldwork risk in a contemporary research environment * Offers tools and templates you can use to develop a tailored security framework Building your understanding of the challenges of on-the-ground research, this book empowers you to meet the challenges of your research landscape head on.

Antenne und die Laufzeit des Signals von der Abstrahlung bis zur Wieder- aufnahme des Echoimpulses legen Peilung und Abstand des Objektes, von dem das Echo stammt, bezuglich des eigenen Schiffes fest. Zur Anzeige und zur Aus- wertung dient normalerweise eine Elektronenstrahlroehre. Dort wird mit jeder Abstrahlung eines Impulses von der Antenne die Ablenkung des Elektronenstrahls vom Zentrum des Bildes zum Rande gestartet. Die Auslenkung des Elektronen- strahls erfolgt proportional zur Echolaufzeit Ein ankommendes Echosignal wird an die Anzeigeroehre zur Steuerung der Intensitat des Elektronenstrahls gelegt und erzeugt so auf dem Bildschirm einen Leuchtfleck, dessen Entfernung von der Bildmitte der Entfernung zum reflektierenden Objekt proportional ist. Die Aus- lenkrichtung des Elektronenstrahls lauft synchron mit der Abstrahlrichtung der Antenne um. Auf dem Bildschirm entsteht so ein Radarpanorama der Umgebung, bezogen auf das eigene Schiff. Mit Hilfe eingeblendeter, im Gerat erzeugter Entfernungsmarken (Entfernungs- ringe) lasst sich der Abstand eines Objektes bestimmen; zum Peilen dient eine Peilskala am Umfang des Bildes. Das Radarbild liefert eine Momentaufnahme der Umgebung. Die Bewegung von Objekten- z. B. Kurs und Fahrt anderer Schiff- kann aus der fortgesetzten Beobachtung der Echoanzeigen ermittelt werden. Die Identifizierung von Objekten aus der Radaranzeige ist schwieriger als bei opti- scher Betrachtung. Aktuelle technische Entwicklungen unterstutzen die fortwahrende Verfolgung von Echoanzeigen und ihre Auswertung. Die Ablage der vollstandigen Radar- information in einem Speicher lasst daruber hinaus zu, die Erneuerungsrate des Bildes unabhangig vom Senderhythmus der Radaranlage zu machen. Diese Entwicklung fuhrt zur Darstellung auf Videomonitoren.

Exploring the challenges and risks of social science fieldwork, this book shares best practice for conducting research in hostile environments and pragmatic advice to help you make good decisions. Drawing on the authors' experiences in regions of conflict and grounded in real-world examples, the book: * Provides practical guidance on important considerations like choosing a research question in sensitive contexts * Gives advice on data and digital security to help you minimize fieldwork risk in a contemporary research environment * Offers tools and templates you can use to develop a tailored security framework Building your understanding of the challenges of on-the-ground research, this book empowers you to meet the challenges of your research landscape head on.

*Shows researchers in psychology, education, and related fields the steps needed to apply machine learning to large data sets. *Focuses on topics most applicable to behavioral and social scientists, rather than computer scientists. *Uses examples from mental health, educational testing, and personality assessment to illustrate key concepts. *Specifies the time and resources needed per technique; the companion website provides the R code used for the examples. *Of particular interest in the U.S., Germany, Scandinavia, and the Netherlands.