Evidence map›Paper›PMID 41835214›Full record

ArticleEducational and psychological measurement2026

Discriminating Between Attribute, Item-Position, and Wording Effects by the Congeneric and Tau-Equivalent Confirmatory Factor Analysis Models.

Karl Schweizer, Xuezhu Ren, Tengfei Wang

Abstract read
In one paragraph

Article in Educational and psychological measurement, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Karl SchweizerGoethe University Frankfurt, Germany.ORCID https://orcid.org/0000-0002-3143-2100
Xuezhu RenHuazhong University of Science & Technology, Wuhan, China.
Tengfei WangZhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The capability of confirmatory factor analysis to discriminate common systematic variation of attribute, item-position, and wording effects was investigated using the congeneric and tau-equivalent models. The simulated data generated according to four approaches included gradually increased amounts of item-position or wording effect variation while the amount of attribute variation was kept constant. The congeneric model always signified good model fit independently of the type and amount of additional common systematic variation, that is, there was no discrimination. In applications of the tau-equivalent model, the increase of the item-position or wording effect variation led to the change from indicating good fit to bad model fit, that is, there was negative discrimination. In contrast, the additionally considered two-factor tau model discriminated positively. As a consequence of these results, we recommend the pre-screening of data for method effects.

Indexed as

confirmatory factor analysiscongeneric modelmethod effecttau-equivalent model

Identifiers

PMID41835214
PMCPMC12979218

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.