Skip to main content
Log in

Analyzing Quota Sample Data and the Peer-review Process

  • Data, Measures and Methods
  • Published:
French Politics Aims and scope

Abstract

There is no random sampling in France. Thus, when analyzing French survey data, every scholar has to deal with an important methodological challenge: How can one use the standard panoply of significance tests on quota sample data? This essay suggests some strategies for successfully dealing with such enquiries during the peer-review process. Scholars should gather as much external evidence as possible to argue that their achieved sample represents the population on as many dimensions as possible. The more evidence they are able to compile, the more confidence there is that their estimation results are robust even based on quota sample data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gschwend, T. Analyzing Quota Sample Data and the Peer-review Process. Fr Polit 3, 88–91 (2005). https://doi.org/10.1057/palgrave.fp.8200068

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1057/palgrave.fp.8200068

Keywords

Navigation