Results 81 to 90 of about 5,066 (223)
Calculating and Interpreting Maximal Reliability in Bifactor Models
Confirmatory bifactor models have been widely applied to understand multidimensional constructs in different areas of psychology research. Maximal reliability captures how well an optimal linear composite (OLC) represents the target latent variable.
Sijia, Li, Victoria, Savalei
openaire +2 more sources
Bifactor and Hierarchical Models: Specification, Inference, and Interpretation
Bifactor and other hierarchical models have become central to representing and explaining observations in psychopathology, health, and other areas of clinical science, as well as in the behavioral sciences more broadly. This prominence comes after a relatively rapid period of rediscovery, however, and certain features remain poorly understood.
openaire +4 more sources
Implementing Argument‐Based Validity in Second Language Research on Individual Differences
Abstract Quantitative meta‐syntheses focusing on the psychometric properties of measurement tools in second and foreign language (L2) individual differences (ID) research have drawn scholars' attention to the quality of data collection instruments (Plonsky & Derrick, 2016; Sudina, 2023).
Katalin Piniel, Ekaterina Sudina
wiley +1 more source
Model comparison between unidimensional, five-dimensional and bifactor models.
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Yebing Yang (302435) +6 more
core +1 more source
Level‐specific reliability coefficients from the perspective of latent state‐trait theory
Abstract The growing popularity of the ecological momentary assessment method in psychological research requires adequate statistical models for intensive longitudinal data (ILD), with multilevel latent state‐trait (ML‐LST) models based on the latent state‐trait theory revised (LST‐R theory) as one possible alternative.
Lennart Nacke, Axel Mayer
wiley +1 more source
Background The Health of the Nation Outcomes Scale (HoNOS) is recommended for use by the English National Service Framework for Mental Health and by the working group on outcome indicators for severe mental illnesses to the Department of Health.
Wayne Smith +3 more
doaj +1 more source
Extending reliability to intensive longitudinal data with the Kalman filter
Abstract Reliability is central to how researchers approach measurement in standard, group‐based analyses of single‐time‐point data, yet this critical aspect is often overlooked in the analysis of repeated observations. Since its inception, reliability has been a between‐person concept, but we redevelop this notion for within‐person designs by ...
Michael D. Hunter
wiley +1 more source
This study investigated the factor structure of the Work-Related Flow Inventory (WOLF) through the application of the bifactor exploratory structural equation modeling (B-ESEM) framework.
Honglei Gu, Zhonglin Wen, Xitao Fan
doaj +1 more source
Approximating multidimensionality with asymmetric unidimensional IRT models
Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao +5 more
wiley +1 more source
ABSTRACT Objectives The Oral Health Impact Profile (OHIP) is the most widely used instrument to measure the subjective impact of oral conditions. This study reports the shortening and psychometric evaluation of an ultra‐short version (OHIP‐7A) from the OHIP‐14 in a large national Australian population.
Brandan Khor +6 more
wiley +1 more source

