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Kimball's failed replication of Reinhart-Rogoff finding cited in argument for tempered public response to social science research results

Edin and Shaefer's book on destitute families in America reviewed in NYT

Johnston says rate of daily marijuana use among college students now greater than rate of daily cigarette smoking

Highlights

Deirdre Bloome wins ASA award for work on racial inequality and intergenerational transmission

Bob Willis awarded 2015 Jacob Mincer Award for Lifetime Contributions to the Field of Labor Economics

David Lam is new director of Institute for Social Research

Elizabeth Bruch wins Robert Merton Prize for paper in analytic sociology

Next Brown Bag

Monday, Oct 12
Joe Grengs, Policy & Planning for Social Equity in Transportation

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This PSC Archive record is displayed for historical reference.

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