Analysis Techniques for Non-Experimental Data: An Introduction - Couverture souple

Bijleveld, C.C.J.H.; Weijer, Steve Van De; Ruiter, S.; Geest, V.R. Van Der

 
9789462368354: Analysis Techniques for Non-Experimental Data: An Introduction
Couverture souple
ISBN 10 : 946236835X ISBN 13 : 9789462368354
Editeur : Eleven International Publishing, 2018

Synopsis

This book starts with a short refresher course of regression analysis, the workhorse of quantitative analysis. The book next discusses five analysis techniques that make it possible to make causal inference - with the necessary caution: - namely propensity score matching, instrumental variables, the regression discontinuity design, fixed effects models and trajectory analysis. The five analysis techniques are discussed relatively briefly and conceptually, with a minimum of formulas - reason this book cannot be regarded as more than an introduction to each of these techniques. At the end of each chapter there is a list with key publications for each technique that the reader can refer to for more information on statistical issues, and for variations on and special cases of the techniques.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

  • Catrien Bijleveld is Professor of Criminological Research Methods at the Vrije Universiteit Amsterdam and director of the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR).
  • Steve van de Weijer is researcher at NSCR. Stijn Ruiter is Professor of Social and Spatial Aspects of Deviant Behaviour at Utrecht University and senior researcher at NSCR.
  • Victor van der Geest is Assistant Professor at the Department of Criminal Law and Criminology of the Vrije Universiteit Amsterdam and fellow at NSCR.

À propos de la quatrième de couverture

This book starts with a short refresher course of regression analysis, the workhorse of quantitative analysis. The book next discusses five analysis techniques that make it possible to make causal inference - with the necessary caution: - namely propensity score matching, instrumental variables, the regression discontinuity design, fixed effects models and trajectory analysis. The five analysis techniques are discussed relatively briefly and conceptually, with a minimum of formulas - reason this book cannot be regarded as more than an introduction to each of these techniques. At the end of each chapter there is a list with key publications for each technique that the reader can refer to for more information on statistical issues, and for variations on and special cases of the techniques.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Eleven International Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
946236835X
ISBN 13 
9789462368354
Reliure
Broché
Nombre de pages
291
Coordonnées du fabricant
non disponible
Personne responsable
non disponible