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Seefeldt criticizes Kansas legislation restricting daily cash withdrawals from public assistance funds

Prescott says sex offender registries may increase recidivism by making offender re-assimilation impossible

Frey says rising numbers of younger minority voters mean Republicans must focus on fiscal not social issues

Highlights

Elizabeth Bruch wins Robert Merton Prize for paper in analytic sociology

Elizabeth Bruch wins ASA award for paper in mathematical sociology

Spring 2015 PSC newletter available now

Formal demography workshop and conference at UC Berkeley, August 17-21

Next Brown Bag

PSC Brown Bags will be back fall 2015


Collaborative Research: On Latent Class Models of Measurement Error

a PSC Research Project [ARCHIVE DISPLAY]

Investigator:   Roger Tourangeau

This study will advance the knowledge about successful and efficient strategies for questionnaire development. It proposes a series of studies to investigate the use of latent class analysis (LCA) to assess questionnaire items. The LCA models can be used when two or more measures are available for the same latent class variable. The models can often be applied to extant data, since some surveys include multiple measures for key constructs and others routinely collect reinterview data. Surveys, and with them questionnaires, are used across many disciplines, some of which don't have access to large resources for questionnaire development and questionnaire testing. Finding a method that can draw knowledge about question performance from existing data (such as reinterview data) will be particularly useful.

Funding Period: 03/01/2006 to 02/28/2010

This PSC Archive record is displayed for historical reference.

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