RT Journal Article
T1 An Ordinal Item Response Model for Understanding Attitudes
A1 Mauerer, Ingrid Doris
A1 Tutz, Gerhard
K1 Opinión pública
K1 Sociología electoral
K1 Ciudadanía - Unión Europea - Actitudes
K1 Ciudadanía - Estados Unidos - Actitudes
AB We present an item response model for ordinal public opinion data to understand individual-level variation in attitudes as a function of covariates. The approach allows investigating how individuals (or population subgroups) differ in substantive stances and attitude strength. It is a two-dimensional partial credit model that incorporates covariates linked to attitude direction and strength into the basic model. We exemplify the types of substantive insights into heterogeneity that can be obtained from the approach but not from existing models with two applications: attitudes toward gender equality (European Values Study) and the evaluation of presidential candidates (American National Election Study).
PB Sage Journals
YR 2025
FD 2025-12
LK https://hdl.handle.net/10630/44649
UL https://hdl.handle.net/10630/44649
LA eng
NO Mauerer, I. & Tutz, G. (2025). "An Ordinal Item Response Model for Understanding Attitudes". Sociological Methods and Research. OnlineFirst. https://doi.org/10.1177/00491241251403078
NO EMERGIA program (EMC21-00256), Junta de Andalucia, Spain
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 4 mar 2026