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Experimental Plans in Factorial Surveys: Random or Quota Design?


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)
Thesaurusschlagwörter 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
Klassifikation Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter Faktorieller Survey; Vignettenanalyse
Sprache Dokument Englisch
Publikationsjahr 2007
Seitenangabe S. 382-409
Zeitschriftentitel Sociological Methods & Research, 35 (2007) 3
DOI http://dx.doi.org/10.1177/0049124106292367
ISSN 0049-1241
Status Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.