Item response theory (IRT) and related latent variable models represent modern
psychometric theory, the successor to classical test theory in psychological assessment …

This tutorial addresses possible sources of confusion in interpreting trait scores from the
bifactor model. The bifactor model may be used when subscores are desired, either for …

G-factor models such as the bifactor model and the hierarchical G-factor model are
increasingly applied in psychology. Many applications of these models have produced …

Item response theory (IRT) is widely used in assessment and evaluation research to explain
how participants respond to item level stimuli. Several R packages can be used to estimate …

The authors report on the development and calibration of item banks for depression, anxiety,
and anger as part of the Patient-Reported Outcomes Measurement Information System …

Background: The construction and evaluation of item banks to measure unidimensional
constructs of health-related quality of life (HRQOL) is a fundamental objective of the Patient …

Objectives We propose the application of a bifactor model for exploring the dimensional
structure of an item response matrix, and for handling multidimensionality. Background We …

Over the past 30 years, item response theory (IRT) measurement models and related
methods, such as differential item functioning, scale linking, and computerized adaptive …

Recent model-fit simulation work relevant to the higher-order model and the bifactor model
has neglected to focus upon the key statistical distinction between the two models: the …

This study examined the psychometric properties and criterion validity of a newly developed
battery of executive function (EF) tasks for use in early childhood. The battery was included …