Re: iid distribution problem

Posted by David Marso on Sep 17, 2011; 7:34pm
URL: http://spssx-discussion.165.s1.nabble.com/iid-distribution-problem-tp4746052p4814552.html

Quote from your link:
"Factorial surveys constitute a specific technique for introducing experimental designs in sample surveys. Respondents are presented with descriptions (vignettes) of a constructed world in which important factors are built in experimentally. Using balanced designs well known from the multivariate experimental tradition, it is possible to build in a relatively large number of factors and levels. Within this context, the normal hypothesis is that responses are consistent on the individual level, but not totally idiosyncratic. In the analysis, it is important to determine the influence of both the vignette and the respondent variables. Analysis models for this type of data should reflect the fact that factorial surveys produce data pertaining to two distinct levels: the individual level and the vignette level. Such models are available and are generally known as multilevel analysis models. This article discusses the properties of factorial survey designs and some analysis models that address the multilevel aspects of the data. An example is presented using data on judgments on the fairness of incomes."

So how does this relate to your question?
What is manipulated in the 16 vignettes?
What multilevel model are you proposing to fit to the data?
Have you bothered to research HLM?

drfg2008 wrote

According to the researcher this design is a Factorial Survey (Hox/Kreft/Hermkens: The Analysis of Factorial Surveys, 1991) [1] also known as Vignette Analysis. The statistical methodology suggested is a multilevel / hierarchical regression model (p.495, p.499).

Frank

[1]

http://smr.sagepub.com/content/19/4/493
DOI: 10.1177/0049124191019004003
Sociological Methods & Research 1991 19: 493
JOOP J. HOX, ITA G. G. KREFT and PIET L. J. HERMKENS