A new document has been added to the Society for Political Methodology Website.

 Title:     Computerized Adaptive Testing for Public Opinion Surveys

Author(s):     Jacob Montgomery, Josh Cutler

Entry Date:     2012-06-19

Keyword(s):     surveys, item response, CAT, dynamic surveys, CAT

Abstract:      Survey researchers avoid using large multi-item scales to measure  latent traits due to both the financial costs and the risk of driving up non-response rates. Typically, investigators select a subset of available scale items rather than asking the full battery. Reduced batteries, however, can sharply reduce measurement precision and introduce bias.  In this paper, we present computerized adaptive testing (CAT) as a method for minimizing the number of questions each respondent must answer while preserving measurement accuracy and precision.  CAT algorithms respond to individuals' previous answers to select subsequent questions that most efficiently reveal respondents' position on a latent dimension.  We introduce the basic stages of a CAT algorithm and present the details for one approach to item-selection appropriate for public opinion research.  We then demonstrate the advantages of CAT via simulation and by empirically comparing dynamic and static measures !
 
 of political knowledge.

http://polmeth.wustl.edu/mediaDetail.php?docId=1322

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