The study's invariance findings may be biased by excluding students who missed a test and by sample heterogeneity¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr2·q1
Currency · newest study 2013 · 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
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? Students who missed one test were excluded from the longitudinal sample, which the authors state might introduce sample bias. → Wang 2013
q1 i? Samples were heterogeneous with respect to gender and ethnicity, and the impact of this heterogeneity on model parameter estimates is unknown. → Wang 2013 (2)
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
q1 · i? · associational · r2
The authors' own stated limitation in the discussion: complete five-wave participation was required, so "students who missed one test were excluded from the sample". No effect size is printed; this is an author interpretation, not a tested result.
"However, since the study was based on longitudinal data, students who missed one test were excluded from the sample, which might introduce sample bias."
Wang 2013 (2)¶
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
q1 · i? · associational · r2
Stated limitation: the pooled state samples were heterogeneous by gender and ethnicity, and the article states the impact on model parameter estimates is unknown. A cited prior study found statistically significant different rates of change by gender. No effect size is printed.
"All samples used in this study are not homogeneous with respect to at least gender and ethnicity, and the impact of heterogeneity on model parameter estimates is unknown."
Discussion¶
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
map-invariance-study-sample-bias-limitations |
title |
The study's invariance findings may be biased by excluding students who missed a test and by sample heterogeneity |
description |
The study's invariance findings may be biased by excluding students who missed a test and by sample heterogeneity |
status |
review |
evidence_strength |
weak |
newest_evidence |
2013 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — wang-2013, wang-2013-2 |
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