Fitting a Polytomous Item Response Model to Likert-Type Data

Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide

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Evaluation Psychometric Characteristics of the Persian Version of the Colorado Learning Attitudes about Science Survey Using polytomous Item Response Model

Goal: Researchers in the field of science education believe that peoplechr(chr('39')39chr('39'))s attitudes about learning will have a significant impact on their future learning and what they learn from science will not be unrelated to their views and attitudes. Accordingly, most questionnaires have been developed to measure attitudes toward science, especially about physics learning attitudes...

Ranking scientific journals via latent class models for polytomous item response data

We propose a strategy for ranking scientific journals starting from a set of available quantitative indicators that represent imperfect measures of the unobservable ‘value’ of the journals of interest. After discretizing the available indicators, we estimate a latent class model for polytomous item response data and use the estimated model to classify each journal. We apply the proposed approac...

Erratum to: Fitting an item response theory model with random item effects across groups by a variational approximation

The challenges of fitting an item response theory model to the Social Anhedonia Scale.

This study explored the application of latent variable measurement models to the Social Anhedonia Scale (SAS; Eckblad, Chapman, Chapman, & Mishlove, 1982), a widely used and influential measure in schizophrenia-related research. Specifically, we applied unidimensional and bifactor item response theory (IRT) models to data from a community sample of young adults (n = 2,227). Ordinal factor analy...