Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses Export

@article{citeulike:3739522, abstract = {Many situations exist in which a latent construct has both ordinal and continuous indicators. This presents a problem for the applied researcher because standard measurement models are not designed to accommodate mixed ordinal and continuous data. I address this problem by formulating a measurement model that is appropriate for such mixed multivariate responses. This model unifies standard normal theory factor analysis and item response theory models for ordinal data. I detail a Markov chain Monte Carlo algorithm for model fitting. I apply the model to cross-national data on political-economic risk and find that the model works well. Software for fitting this model is publicly available in the MCMCpack (Martin and Quinn 2004, "MCMCpack 0.4-8") R package. 10.1093/pan/mph022}, author = {Quinn, Kevin M.}, citeulike-article-id = {3739522}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/pan/mph022}, citeulike-linkout-1 = {http://pan.oxfordjournals.org/cgi/content/abstract/12/4/338}, day = {1}, doi = {10.1093/pan/mph022}, journal = {Political Analysis}, month = {November}, number = {4}, pages = {338--353}, posted-at = {2008-12-03 09:58:48}, priority = {2}, title = {Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses}, url = {http://dx.doi.org/10.1093/pan/mph022}, volume = {12}, year = {2004} }

TY - JOUR ID - citeulike:3739522 L3 - citeulike-article-id:3739522 N2 - Many situations exist in which a latent construct has both ordinal and continuous indicators. This presents a problem for the applied researcher because standard measurement models are not designed to accommodate mixed ordinal and continuous data. I address this problem by formulating a measurement model that is appropriate for such mixed multivariate responses. This model unifies standard normal theory factor analysis and item response theory models for ordinal data. I detail a Markov chain Monte Carlo algorithm for model fitting. I apply the model to cross-national data on political-economic risk and find that the model works well. Software for fitting this model is publicly available in the MCMCpack (Martin and Quinn 2004, "MCMCpack 0.4-8") R package. 10.1093/pan/mph022 IS - 4 JF - Political Analysis EP - 353 TI - Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses VL - 12 SP - 338 AU - Quinn, Kevin PY - 2004/11/01/ UR - http://dx.doi.org/10.1093/pan/mph022 ER -