Practical Issues in Implementing and Understanding Bayesian Ideal Point Estimation

Andrew Gelman Department of Statistics and Department of Political Science, Columbia University, New York, NY e-mail: gelman{at}stat.columbia.edu, www.stat.columbia.edu/~gelman/ David K. Park Department of Political Science, Washington University, St. Louis, MO e-mail: dpark{at}artsci.wustl.edu Noah Kaplan Department of Political Science, University of Houston, Houston, TX e-mail: nkaplan{at}uh.edu Logistic regression models have been used in political sciencefor estimating ideal points of legislators and Supreme Courtjustices. These models present estimation and identifiabilitychallenges, such as improper variance estimates, scale and translationinvariance, reflection invariance, and issues with outliers.We address these issues using Bayesian hierarchical modeling,linear transformations, informative regression predictors, andexplicit modeling for outliers. In addition, we explore newways to usefully display inferences and check model fit.     

Characteristics of parents of adolescent incest perpetrators: Preliminary findings

Twenty-seven parents of adolescent incest perpetrators were interviewed regarding demographic characteristics, prior victimization and abuse, and attitudes about their sons engaging in incestuous behavior. Results indicated that these parents: (a) under-reported physical and sexual abuse of their sons, (b) had a high incidence of being abused themselves, and (c) demonstrate a high level of denial regarding their sons' incestuous behaviors as reflected by the finding that only 50% of the parents totally admitted to their son's incestuous behavior(s).     

Multinational corporations and the diffusion of world standards: A theoretical exploration

Studies in Comparative International Development -