MLGM model fit failed for the Indiana mathematics test, the sole exception to invariance support¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2013 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q2 i? All fit indices satisfied Hu and Bentler criteria across states with one exception in Indiana for mathematics, where invariance support did not hold. → Wang 2013

Evidence¶

Wang 2013¶

Wang, S., Jiao, H. and Zhang, L. (2013) 'Validation of longitudinal achievement constructs of vertically scaled computerised adaptive tests: a multiple-indicator, latent-growth modelling approach', Int. J. Quantitative Research in Education, Vol. 1, No. 4, pp.383–407. https://www.nwea.org/research/publication/validation-of-longitudinal-achievement-constructs-of-vertically-scaled-computerised-adaptive-tests-a-multiple-indicator-latent-growth-modelling-approach/ doi:10.1504/ijqre.2013.058307

q2 · i? · associational · r2

MLGM goodness-of-fit analyses across ten states; the article reports fit was excellent "with one exception in Indiana for mathematics", where Table 8 shows the configural model did not fit and invariance values were marked not available. No effect size is printed.

"All values of the fit indexes satisfy the Hu and Bentler (1999) criteria in both content areas and show that each model fits the data extremely well across states, with one exception in Indiana for mathematics."

Discussion¶

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