Claims

Mexico's measurement models differed from all other countries, so Mexico was excluded and the study reports seven countries

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · 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 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.

q2 i? In TALIS teacher data, none of the dimensions of mathematics instructional quality could be identified in Mexico. → Xin Liu 2023 q2 i? Including Mexico would have limited invariance across the eight countries to the configural level, so Mexico was moved to an appendix. → Xin Liu 2023 (2)

Evidence

Xin Liu 2023

Xin Liu, Kajsa Yang Hansen, Jan De Neve, Martin Valcke. (2023). Teacher versus student perspectives on instructional quality in mathematics education across countries. Instructional Science. https://doi.org/10.1007/s11251-023-09652-6

q2 · i? · associational · r2

During the analytical process, measurement models were estimated per country for both TALIS and PISA data. For Mexico, the article reports "none of the dimensions of mathematics instructional quality can be identified" in the teacher data.

"In the TALIS 2013 data, none of the dimensions of mathematics instructional quality can be identified in Mexico."

Xin Liu 2023 (2)

Xin Liu, Kajsa Yang Hansen, Jan De Neve, Martin Valcke. (2023). Teacher versus student perspectives on instructional quality in mathematics education across countries. Instructional Science. https://doi.org/10.1007/s11251-023-09652-6

q2 · i? · associational · r2

The article explains that with Mexican data included, cross-country invariance would "only reach the configural level", so the authors removed the Mexico results to Appendix 2 and focused on the seven remaining countries.

"This implies that if Mexican data are included in the study, the measurement invariance among the eight countries can only reach the configural level."

Discussion

Page metadata
Field Value
type claim
id mexico-excluded-different-measurement-models
title Mexico's measurement models differed from all other countries, so Mexico was excluded and the study reports seven countries
description Mexico's measurement models differed from all other countries, so Mexico was excluded and the study reports seven countries
status review
evidence_strength moderate
newest_evidence 2023
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 2 — xin-liu-2023, xin-liu-2023-2

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