Evaluating Restrictive Models in Educational and Behavioral Research
Local Misfit Overrides Model Tenability
Bibliographic Data
| ID | 20282274 |
|---|---|
| Authors | Tenko Raykov (0000-0002-8911-5116, Michigan State University, East Lansing, MI, USA), Christine Distefano (0000-0001-7504-6554, University of South Carolina, Columbia, SC, USA, corresponding author) |
| Year | 2021 |
| Volume | 81 |
| Issue | 5 |
| Pages | 980-995 |
| Publication date | 2021-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0013164420944566 |
| PMID | 34565814 |
| OpenAlex | W3046835958 |
| Language | EN |
| Citations received | 3 |
| References cited | 16 |
The frequent practice of overall fit evaluation for latent variable models in educational and behavioral research is reconsidered. It is argued that since overall plausibility does not imply local plausibility and is only necessary for the latter, local misfit should be considered a sufficient condition for model rejection, even in the case of omnibus model tenability. The argument is exemplified with a comparison of the widely used one-parameter and two-parameter logistic models. A theoretically and practically relevant setting illustrates how discounting local fit and concentrating instead on overall model fit may lead to incorrect model selection, even if a popular information criterion is also employed. The article concludes with the recommendation for routine examination of particular parameter constraints within latent variable models as part of their fit evaluation
Argument (complex analysis) · Econometrics · Latent variable · Latent variable model · Machine learning · Model selection · Structural equation modeling · Variable (mathematics) · Artificial Intelligence · Behavioral and Psychological Studies · Computer Science · Mathematics · Medicine · Psychometric Methodologies and Testing · School Choice and Performance
Introduction to Psychometric Theory
Statistical Approaches to Measurement Invariance
Explanatory Item Response Models
Beyond SEM
Coefficient Alpha and the Reliability of Composite Measurements
Statistical Analysis of Sets of Congeneric Tests
On the Relationship between iTem Response Theory and Factor Analysis of Discretized Variables
Structural Equations with Latent Variables
Polytomous Item Explanatory Item Response Theory Models
Scale Reliability, Cronbach's Coefficient Alpha, and Violations of Essential Tau-Equivalence with Fixed Congeneric Components
Bayesian Model Selection in Social Research
Coefficient alpha and the internal structure of tests
| Unique citing works | 3 |
|---|---|
| Citations per year | 0.75 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |