Results 261 to 270 of about 20,299,108 (307)

Goodness of Fit in Item Response Models

Multivariate Behavioral Research, 1995
It is shown that goodness-of-fit criteria developed for the evaluation of multivariate structural models can be applied to assist in evaluating the dimensionality of a test consisting of binary items, and correlative methods regularly employed in factor analysis can be used to diagnose causes of misfit.
R P, McDonald, M M, Mok
openaire   +2 more sources

Metric Stability in Item Response Models

Multivariate Behavioral Research, 2020
In item response theory, uncertainty associated with estimated item parameters can lead to greater uncertainty in subsequent analyses, such as estimating trait scores for individual examinees. Most existing methods to characterize or correct for item parameter uncertainty implicitly assume that the latent trait continuum is fixed across the posterior ...
openaire   +2 more sources

Item Response Models for Examinee‐Selected Items

Journal of Educational Measurement, 2012
In some tests, examinees are required to choose a fixed number of items from a set of given items to answer. This practice creates a challenge to standard item response models, because more capable examinees may have an advantage by making wiser choices. In this study, we developed a new class of item response models to account for the choice effect of
Wen‐Chung Wang, Kuan‐Yu Jin, Xue‐Lan Qiu, Lei Wang   +3 more
openaire   +1 more source

Item Response Modeling of Presence-Severity Items

Applied Psychological Measurement, 2012
The Presence-Severity (P-S) format refers to a compound item structure in which a question is first asked to check the presence of the particular event in question. If the respondent provides an affirmative answer, a follow-up is administered, often about the frequency, density, severity, or impact of the event. Despite the popularity of the P-S format
Ying Liu, Jay Verkuilen
openaire   +1 more source

Modelling sequentially scored item responses

British Journal of Mathematical and Statistical Psychology, 2000
The sequential model can be used to describe the variable resulting from a sequential scoring process. In this paper two more item response models are investigated with respect to their suitability for sequential scoring: the partial credit model and the graded response model.
openaire   +3 more sources

Identification of a Semiparametric Item Response Model

Psychometrika, 2012
AbstractWe consider the identification of a semiparametric multidimensional fixed effects item response model. Item response models are typically estimated under parametric assumptions about the shape of the item characteristic curves (ICCs), and existing results suggest difficulties in recovering the distribution of individual characteristics under ...
openaire   +2 more sources

Polytomous Item Response Theory Models

2006
Polytomous Item Response Theory Models provides a unified, comprehensive introduction to the range of polytomous models available within item response theory (IRT). It begins by outlining the primary structural distinction between the two major types of polytomous IRT models.
Ostini, Remo, Nering, Michael
openaire   +4 more sources

The Unique Correspondence of the Item Response Function and Item Category Response Functions in Polytomously Scored Item Response Models

Psychometrika, 1994
The item response function (IRF) for a polytomously scored item is defined as a weighted sum of the item category response functions (ICRF, the probability of getting a particular score for a randomly sampled examinee of ability θ). This paper establishes the correspondence between an IRF and a unique set of ICRFs for two of the most commonly used ...
Chang, Hua-Hua, Mazzeo, John
openaire   +2 more sources

Restricted Recalibration of Item Response Theory Models

Psychometrika, 2019
In item response theory (IRT), it is often necessary to perform restricted recalibration (RR) of the model: A set of (focal) parameters is estimated holding a set of (nuisance) parameters fixed. Typical applications of RR include expanding an existing item bank, linking multiple test forms, and associating constructs measured by separately calibrated ...
Liu, Yang, Yang, Ji Seung, Maydeu-Olivares, Alberto   +2 more
openaire   +2 more sources

Randomized Item Response Theory Models

Journal of Educational and Behavioral Statistics, 2005
The randomized response (RR) technique is often used to obtain answers on sensitive questions. A new method is developed to measure latent variables using the RR technique because direct questioning leads to biased results. Within the RR technique is the probability of the true response modeled by an item response theory (IRT) model.
openaire   +3 more sources