Uncertainty in Latent Trait Models
| العنوان: | Uncertainty in Latent Trait Models |
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| المؤلفون: | Gunther Schauberger, Gerhard Tutz |
| المصدر: | Appl Psychol Meas |
| بيانات النشر: | SAGE Publications, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Ordinal data, Rasch model, 05 social sciences, 050401 social sciences methods, Model parameters, Polytomous Rasch model, Articles, 01 natural sciences, 010104 statistics & probability, 0504 sociology, Rating scale, Latent trait, Trait, Econometrics, Statistical dispersion, Psychology (miscellaneous), 0101 mathematics, Social Sciences (miscellaneous), Mathematics |
| الوصف: | A model that extends the Rasch model and the Partial Credit Model to account for subject-specific uncertainty when responding to items is proposed. It is demonstrated that ignoring the subject-specific uncertainty may yield biased estimates of model parameters. In the extended version of the model, uncertainty and the underlying trait are linked to explanatory variables. The parameterization allows to identify subgroups that differ in uncertainty and the underlying trait. The modeling approach is illustrated using data on the confidence of citizens in public institutions. |
| تدمد: | 1552-3497 0146-6216 |
| DOI: | 10.1177/0146621620920932 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc4e892b24fbd551dd8ed4cc33028655 https://doi.org/10.1177/0146621620920932 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....fc4e892b24fbd551dd8ed4cc33028655 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15523497 01466216 |
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| DOI: | 10.1177/0146621620920932 |