Document Detail


Simultaneous analysis of individual and aggregate responses in psychometric data using multilevel modeling.
MedLine Citation:
PMID:  10765430     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Psychometric data on risk perceptions are often collected using the method developed by Slovic, Fischhoff, and Lichtenstein, where an array of risk issues are evaluated with respect to a number of risk characteristics, such as how dreadful, catastrophic or involuntary exposure to each risk is. The analysis of these data has often been carried out at an aggregate level, where mean scores for all respondents are compared between risk issues. However, this approach may conceal important variation between individuals, and individual analyses have also been performed for single risk issues. This paper presents a new methodological approach using a technique called multilevel modelling for analysing individual and aggregated responses simultaneously, to produce unconditional and unbiased results at both individual and aggregate levels of the data. Two examples are given using previously published data sets on risk perceptions collected by the authors, and results between the traditional and new approaches compared. The discussion focuses on the implications of and possibilities provided by the new methodology.
Authors:
I H Langford; C Marris; A L McDonald; H Goldstein; J Rasbash; T O'Riordan
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Risk analysis : an official publication of the Society for Risk Analysis     Volume:  19     ISSN:  0272-4332     ISO Abbreviation:  Risk Anal.     Publication Date:  1999 Aug 
Date Detail:
Created Date:  2000-05-15     Completed Date:  2000-05-15     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8109978     Medline TA:  Risk Anal     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  675-83     Citation Subset:  IM    
Affiliation:
Centre for Social and Economic Research on the Global Environment (CSERGE), University of East Anglia, Norwich, United Kingdom.
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MeSH Terms
Descriptor/Qualifier:
Humans
Models, Psychological
Perception
Psychometrics / statistics & numerical data*
Risk Assessment
Risk-Taking

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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