Journal of Educational and Behavioral Statistics, Volume 50, Issue 2, Page 214-238, April 2025.
The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. ...

Journal of Educational and Behavioral Statistics, Volume 50, Issue 2, Page 187-213, April 2025.
The detection of differential item functioning (DIF) is important in psychological and behavioral sciences. Standard DIF detection methods perform an item-by-item test iteratively, often assuming that all items except the one under investigation are DIF-...

Journal of Educational and Behavioral Statistics, Volume 50, Issue 2, Page 296-330, April 2025.
Item compromise has long posed challenges in educational measurement, jeopardizing both test validity and test security of continuous tests. Detecting compromised items is therefore crucial to address this concern. The present literature on compromised ...

Journal of Educational and Behavioral Statistics, Volume 50, Issue 2, Page 272-295, April 2025.
Popular item response theory (IRT) models are considered complex, mainly due to the inclusion of a random factor variable (latent variable). The random factor variable represents the incidental parameter problem since the number of parameters increases ...

Journal of Educational and Behavioral Statistics, Volume 50, Issue 2, Page 239-271, April 2025.
Research in education and behavioral sciences often involves the use of latent variable models that are related to indicators, as well as related to covariates or outcomes. Such models are subject to interpretational confounding, which occurs when fitting ...

Journal of Educational and Behavioral Statistics, Volume 50, Issue 2, Page 331-382, April 2025.
This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of ...

Journal of Educational and Behavioral Statistics, Ahead of Print.

Journal of Educational and Behavioral Statistics, Ahead of Print.
Frequent sequential pattern mining is a valuable technique for capturing the relative arrangement of learning events, but current algorithms often return excessive learning event patterns, many of which may be noise or redundant. These issues exacerbate ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
For an assessment with multiple sections measuring related constructs, test takers with higher scores on one section are expected to perform better on the related sections. When the sections involve different test designs, test takers with preknowledge of ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
In item response theory applications, item fit analysis is often performed for precalibrated items using response data from subsequent test administrations. Because such practices lead to the involvement of sampling variability from two distinct samples ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
Zhu et al. proposed a person-fit method based on the neural network called machine learning person-fit method (MLP-F) and found promising improvements over some traditional methods. MLP-F relies on constructing an appropriate neural network and uses mean ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
This study introduces a correction to the approximation of effectivedfas proposed by Satterthwaite, specifically addressing scenarios where componentdfare small. The correction is grounded in analytical results concerning the moments of standard ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
A rating scale is a set of categories designed to obtain information about a quantitative or a qualitative attribute. Item response theory (IRT) proposes that a probability function over a single latent variable represents the overall attribute evolution ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
Recent decades have seen a tremendous growth in the development of collusion detection methods, many of which rest on the assumption that examinees who engage in collusion will display unusually similar scores/responses. In this article, we expand the ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
Constructive matching and response elimination strategies are two primarily used cognitive strategies in Raven’s Advanced Progressive Matrices (APM), a valid measurement instrument of general intelligence. Identifying strategies is necessary for ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
Standard item response theory (IRT) models are ill-equipped for when the probability of a correct response depends on the location in the test where an item is encountered—a phenomenon we refer to as position effects. Unmodeled position effects complicate ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
As one of the three broad types of test cheating, item preknowledge has always been a severe threat to test validity and is widespread in various testing programs, especially within some high-volume certification testing programs. While many response-...

Journal of Educational and Behavioral Statistics, Ahead of Print.
Sequential, multiple assignment randomized trials (SMARTs), which assist in the optimization of adaptive interventions, are growing in popularity in education and behavioral sciences. This is unsurprising, as adaptive interventions reflect the sequential, ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
To objectively compare groups on any latent trait using tests, the absence of differential item functioning (DIF) is crucial. While the importance of DIF has been well-established in research, the question of how to identify DIF-free items is still ...

Journal of Educational and Behavioral Statistics, Ahead of Print.
The rank two-parameter logistic (Rank-2PL) item response theory models refer to a set of models applying the 2PL model in a sequential ranking process that occurs in forced-choice questionnaires. The multi-unidimensional pairwise preference with 2PL model ...