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Analysis Techniques for non-Experimental Data: An Introduction

Analysis Techniques for non-Experimental Data: An Introduction
  • Year of publication 2018
  • 291 pages
Author:C.C.J.H. Bijleveld, S.G.A. van de Weijer, S. Ruiter, and V.R. van der Geest
Series:Boom studieboeken criminologie & veiligheid
Category: Criminologie en veiligheid Criminologie
Voor docenten: Wetenschappelijk Onderwijs (WO)
Icon_printbook 978‐94‐6236‐835‐4 | paperback | 1st edition | € 48.00

Analysis Techniques for non-Experimental Data: An Introduction discusses five different quasi-experimental study designs: propensity score matching, instrumental variables, the regression discontinuity design, fixed effects models, and trajectory analysis. The book starts with a short refresher of regression analysis. Next, the five analysis techniques are discussed relatively briefly and conceptually, with a minimum of formulas. Each technique is also illustrated with a worked example on a fictitious dataset. For all analyses, the complete syntax for both SPSS and Stata is given in order that readers can replicate the examples and use the syntax as a starting point for their own analyses. Although most of the book’s examples are criminological, the techniques can be applied in many other disciplines such as sociology, psychology, demography, and political science.

Author's information

  • 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.

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