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Experimental Plans in Factorial Surveys: Random or Quota Design?

[journal article]

Dülmer, Hermann

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Abstract The factorial survey is an experimental design where respondents are asked to judge descriptions of varying situations (vignettes) presented to them. Combining the vignette variables (factors) and their levels is done by the researcher, who also takes the responsibility for getting an optimal design. To represent the universe of possible level combinations as accurately as possible, random designs are mostly used. A possible alternative are quoted designs. Up to now, there has been little discussion and only few research studies done about the pros and cons of random and quota samples for factorial surveys. The purpose of this article is to contribute to filling this gap. The conclusions drawn from the statistical considerations are illustrated by example analyses on the basis of fictitious data. Since the data structure produced by a factorial survey is a hierarchical one, the empirical analyses are carried out by using a multilevel program. (Author's abstract)
Keywords multi-level analysis; analysis procedure; statistical analysis; data; measurement instrument; statistical method; model comparison; model construction; quantitative method; experiment; survey research; measurement; data capture; random sample; response behavior
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords Faktorieller Survey; Vignettenanalyse
Document language English
Publication Year 2007
Page/Pages p. 382-409
Journal Sociological Methods & Research, 35 (2007) 3
ISSN 0049-1241
Status Published Version; peer reviewed
Licence Deposit Licence - No Redistribution, No Modifications
This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.