On Jan 21, 2008, at 10:48 AM, Slava Mikhaylov wrote:
> Modelling agreement has become popular lately. The most recent
> overview of
> modelling patterns of agreement for nominal scales would probably be
> Chris
> Roberts' article in the upcoming issue of Statist.Med.
on this thread, you might also take a look at some recent applications
in the polisci literature. the emphasis in these articles is on
inference for the latent variables per se, with modeling addressing
issues such as x-rater scale-use heterogeneity and levels of
measurement etc. one or two more applications like this are in the
pipeline (joint work with Matt Levendusky).
-- simon jackman
@Article{quinn04:_bayes_factor_analy_for_mixed,
author = {Quinn, Kevin},
title = {Bayesian Factor Analysis for Mixed Ordinal and
Continuous Responses},
journal = {Political Analysis},
year = 2004,
volume = 12,
pages = {338-353}}
@Article{jackman04:_what_do_we_learn_from,
author = {Jackman, Simon},
title = {What Do We Learn from Graduate Admissions
Committees?: a Multiple-Rater, Latent Variable
Model, with Incomplete Discrete and Continuous
Indicators},
journal = {Political Analysis},
year = 2004,
volume = 12,
number = 4,
pages = {400-424}}
Professor Simon Jackman,
Depts of Political Science & (by courtesy) Statistics,
Stanford University, Stanford, CA 94305-6044, USA.
http://jackman.stanford.edu
Director, Political Science Computational Lab. http://pscl.stanford.edu
Director, Methods of Analysis Program in the Social Sciences, http://mapss.stanford.edu
cell: +1 (650) 387 3019 fax: +1 (650) 724-9095
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