期刊： PSYCHOMETRIKA, 2021; 86 (1)
This study revisits the parameter estimation issues in multidimensional item response theory more thoroughly and investigates some computation details......
Differential item functioning (DIF) analysis is an important step in establishing the validity of measurements. Most traditional methods for DIF analy......
期刊： PSYCHOMETRIKA, 2021; 86 (1)
In this paper, we propose a joint modeling approach to analyze dependency in parallel response data. We define two types of dependency: higher-level d......
期刊： PSYCHOMETRIKA, 2020; 85 (2)
We revisit a singular value decomposition (SVD) algorithm given in Chen et al. (Psychometrika 84:124-146, 2019b) for exploratory item factor analysis ......
期刊： PSYCHOMETRIKA, 2020; 85 (4)
The likelihood ratio test (LRT) is widely used for comparing the relative fit of nested latent variable models. Following Wilks' theorem, the LRT is c......
期刊： PSYCHOMETRIKA, 2020; 85 (2)
Theory of mind (ToM) is an essential social-cognitive ability to understand one's own and other people's mental states. Neural data as well as behavio......
期刊： PSYCHOMETRIKA, 2020; 85 (3)
For test development in the setting of multidimensional item response theory, the exploratory and confirmatory approaches lie on two ends of a continu......
期刊： PSYCHOMETRIKA, 2020; 85 (1)
The maintenance of item bank is essential for continuously implementing adaptive tests. Calibration of new items online provides an opportunity to eff......
Ansari et al. (Psychometrika 67:49-77, 2002) applied a multilevel heterogeneous model for confirmatory factor analysis to repeated measurements on ind......
期刊： PSYCHOMETRIKA, 2019; 84 (1)
Joint maximum likelihood (JML) estimation is one of the earliest approaches to fitting item response theory (IRT) models. This procedure treats both t......
期刊： PSYCHOMETRIKA, 2019; 84 (3)
When latent variables are used as outcomes in regression analysis, a common approach that is used to solve the ignored measurement error issue is to t......
期刊： PSYCHOMETRIKA, 2018; 83 (2)
Unless data are missing completely at random (MCAR), proper methodology is crucial for the analysis of incomplete data. Consequently, methods for effe......
期刊： PSYCHOMETRIKA, 2017; 82 (1)
Item response theory (IRT) observed-score kernel equating is introduced for the non-equivalent groups with anchor test equating design using either ch......
期刊： PSYCHOMETRIKA, 2017; 82 (4)
Many psychological concepts are unobserved and usually represented as latent factors apprehended through multiple observed indicators. When multiple-s......
