Journal article | Zeitschriftenartikel

Experimental Plans in Factorial Surveys: Random or Quota Design?

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)

Experimental Plans in Factorial Surveys: Random or Quota Design?

Urheber*in: Dülmer, Hermann

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ISSN
0049-1241
Extent
Seite(n): 382-409
Language
Englisch
Notes
Status: Veröffentlichungsversion; begutachtet (peer reviewed)

Bibliographic citation
Sociological Methods & Research, 35(3)

Subject
Sozialwissenschaften, Soziologie
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Mehrebenenanalyse
Analyseverfahren
statistische Analyse
Daten
Messinstrument
statistische Methode
Modellvergleich
Modellentwicklung
quantitative Methode
Experiment
Umfrageforschung
Messung
Datengewinnung
Zufallsauswahl
Antwortverhalten

Event
Geistige Schöpfung
(who)
Dülmer, Hermann
Event
Veröffentlichung
(where)
Deutschland
(when)
2007

DOI
URN
urn:nbn:de:0168-ssoar-441865
Rights
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
Last update
21.06.2024, 4:27 PM CEST

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Object type

  • Zeitschriftenartikel

Associated

  • Dülmer, Hermann

Time of origin

  • 2007

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