Bifactor-(S-1) models of teacher Big Five personality fit student and teacher data better than single-domain or three-facets models¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Across all five Big Five domains, bifactor-(S-1) models showed better fit (lower AIC) than three-facets models, which in turn fit better than single-domain models. → Burić 2023
Evidence¶
Burić 2023¶
Burić, Irena, Butković, Ana and Kim, Lisa (2023) Teacher personality domains and facets: Their unique associations with student-ratings of teaching quality and teacher enthusiasm. Learning and Instruction. 101827. https://doi.org/10.1016/j.learninstruc.2023.101827
q2 · i? · associational · r2
Model comparison of 15 predictive models (single-domain, three-facets, bifactor-(S-1)) fitted with doubly latent MSEM in Mplus 8.8; the article reports ΔAIC values substantially greater than 2 favoring bifactor-(S-1) models, concluding the "bifactor-(S-1) representation of teacher personality is supported by the data to the greatest extent".
"These results suggest that the bifactor-(S-1) representation of teacher personality is supported by the data to the greatest extent."
Discussion¶
Related Claims¶
- In an empirical comparison on a testlet-based English assessment test, the bifactor model is preferred over the second-order and unidimensional 2PL models by both AIC and BIC — related
- A multidimensional IRT model with simple structure fits testlet-based reading data better than both the general polytomous testlet model and the standard 2PL/GPCM — related
- Open-mindedness facets show no significant unique associations with student-rated teaching quality or teacher enthusiasm in bifactor-(S-1) models — related
- Ignoring testlet effects by fitting a unidimensional 2PL model produced mild shrinkage of item intercept and loading estimates toward zero relative to the bifactor model — related
- The second-order multidimensional IRT model for testlets is formally equivalent to the testlet model, and both are restricted bifactor models — related
- The proportionality restrictions that the testlet model imposes on the bifactor model were implausible in the applied dataset, as specific-to-general loading quotients varied far from constant within testlets — related
- The general sociability reference factor uniquely and positively predicts student-rated classroom management, student support, and teacher enthusiasm, while assertiveness and energy level add no unique prediction — related
- The general compassion reference factor uniquely predicts only student support, while the trust facet incrementally predicts teacher enthusiasm — related
- The general organization reference factor is weakly negatively related to cognitive activation, student support, and teacher enthusiasm, but these associations become non-significant after controlling for covariates — a narrower finding that bears on this claim
- Higher order cognitive skills (inference, perspective taking, comprehension monitoring) fit a bifactor structure with a general cross-language factor and language-specific factors in English and Spanish — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
bifactor-s1-teacher-personality-best-fit |
title |
Bifactor-(S-1) models of teacher Big Five personality fit student and teacher data better than single-domain or three-facets models |
description |
Bifactor-(S-1) models of teacher Big Five personality fit student and teacher data better than single-domain or three-facets models |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-22 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — burić-2023 |
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