Replication Data for: An Ordinal Item Response Model for Understanding Attitudes.
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Mauerer, Ingrid Doris
Tutz, Gerhard
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Harvard Dataverse
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Mauerer, Ingrid and Tutz, Gerhard, An Ordinal Item Response Model for Understanding Attitudes (November 03, 2025). This is the accepted version of the manuscript: Mauerer, I. & Tutz, G. (2025). "An Ordinal Item Response Model for Understanding Attitudes". Forthcoming Sociological Methods and Research. doi: 10.1177/00491241251403078, Available at SSRN: https://ssrn.com/abstract=4977675 or http://dx.doi.org/10.2139/ssrn.4977675
Abstract
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
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).
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).
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Bibliographic citation
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






