Replication Data for: An Ordinal Item Response Model for Understanding Attitudes

Mauerer, Ingrid und Tutz, Gerhard (2025): Replication Data for: An Ordinal Item Response Model for Understanding Attitudes.

Abstract

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).

• Dokumententyp: Software
• Keywords: public opinion, attitudes, individual-level variation, item response theory, ordinal responses
• Fakultät: Mathematik, Informatik und Statistik > Statistik ; Mathematik, Informatik und Statistik > Statistik > Lehrstühle/Arbeitsgruppen > Seminar für angewandte Stochastik
• Themengebiete: 300 Sozialwissenschaften > 300 Sozialwissenschaft, Soziologie ; 300 Sozialwissenschaften > 310 Statistiken
• Sprache: Englisch

Literaturliste

Supplement to: Mauerer, I. & Tutz, G. (2025). "An Ordinal Item Response Model for Understanding Attitudes". Sociological Methods and Research. doi: 10.1177/00491241251403078