RT Generic
T1 Replication Data for: An Ordinal Item Response Model for Understanding Attitudes.
A1 Mauerer, Ingrid Doris
A1 Tutz, Gerhard
K1 Opinión pública
K1 Sociología electoral
K1 Estadística
K1 Ciudadanía - Unión Europea - Actitudes
K1 Ciudadanía - Estados Unidos - Actitudes
AB Is supplement to: Mauerer, I. & Tutz, G. (2025). "An Ordinal Item Response Model for Understanding Attitudes". Forthcoming Sociological Methods and Research. doi: 10.1177/00491241251403078 Open Access
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 Harvard Dataverse
YR 2025
FD 2025
LK https://hdl.handle.net/10630/40890
UL https://hdl.handle.net/10630/40890
LA eng
NO Mauerer, Ingrid; Tutz, Gerhard, 2025, "Replication Data for: An Ordinal Item Response Model for Understanding Attitudes", https://doi.org/10.7910/DVN/CZJJAF, Harvard Dataverse, V1
NO Program EMERGIA (EMC21-00256), Junta de Andalucía
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026