Testing for Causality in Data: Experiments

Christian Handke*, Christian Herzog

*Corresponding author for this work

Research output: Chapter/Conference proceedingChapterAcademic

3 Citations (Scopus)

Abstract

Causal effects are a prime concern in media policy research, and experimental research designs are widely regarded as the most effective way to identify and gauge causality. Nevertheless, explicit applications of experimental methods are rare in media policy research. This chapter discusses experimental research designs in the context of this research area. It covers essential aspects of experimental research and identifies two types of experiments that are particularly suitable for media policy research: quasi-experiments and choice experiments. For each of these experiment types, we present a successful application. We discuss the benefits of experimental empirical work and some do’s and don’ts. Overall, we argue that an experimental mind-set can help to improve a broad range of empirical work on media policy, including qualitative research.

Original languageEnglish
Title of host publicationThe Palgrave Handbook of Methods for Media Policy Research
PublisherSpringer International Publishing AG
Pages233-247
Number of pages15
ISBN (Electronic)9783030160654
ISBN (Print)9783030160647
DOIs
Publication statusPublished - 14 Aug 2019

Bibliographical note

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s).

Research programs

  • ESHCC A&CS

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