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Analyzing quota sample data and the peer-review process

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Gschwend, Thomas

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Abstract "There is no random sampling in France. Thus, when analyzing French survey data, everyscholar has to deal with an important methodological challenge: How can one use the standard panoplyof significance tests on quota sample data? This essay suggests some strategies for successfullydealing 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 theyare able to compile, the more confidence there is that their estimation results are robust even based on quota sample data." (author's abstract)
Keywords survey research; significance test; random sample; sample; estimation; quota; representativity; public opinion; France
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Method basic research
Free Keywords survey research; significance testing; simple random sample; quota sample; French public opinion
Document language English
Publication Year 2005
Page/Pages p. 88-91
Journal French Politics, 3 (2005) 1
Licence Deposit Licence - No Redistribution, No Modifications
data provider This metadata entry was indexed by the Special Subject Collection Social Sciences, USB Cologne