Cited by 76Psychometric Methodologies and TestingEducational Assessment and PedagogyPsychological Testing and Assessment

Still Comparing Apples With Oranges?: Some Thoughts on the Principles and Practices of Measurement Invariance Testing

Open access
Greiff, Samuel, Scherer, Ronny·2018·European Journal of Psychological Assessment

Abstract

Measurement invariance testing has become an integral part of the methodological repertoire in psychological assessment.Whenever researchers attempt to compare scales or test scores across groups or over time, it needs to be ensured that they do not compare "apples with oranges."Measurement invariance testing is the road that leads to the information about whether the comparisons of means or variances are valid.In other words, invariance testing examines the between-group or between-time points variation in factor means and variances by ruling out differences in measurement (Bauer, 2017).This ensures the fairness of scales or tests and therefore contributes to crafting a validity argument (Kane, 2013).In this editorial, we briefly review some of the principles and practices of measurement invariance testing in psychological assessment contexts and encourage EJPA authors to critically review the limitations of the commonly used approach to invariance testingmulti-group confirmatory factor analysis.We suggest considering alternatives to this approach, for instance, when submitting to EJPA and we discuss the potential of these alternative approaches.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1027/1015-5759/a000487

Cites

16 of 17 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Greiff, S., & Scherer, R.
Affiliations
  • University of Luxembourg (LU)
  • University of Oslo (NO)
Venue
European Journal of Psychological Assessment
Published
2018-05
Volume
34
Issue
3
Pages
141-144
ISSN
  • 1015-5759 (ISSN-L)
  • 2151-2426
OpenAlex
W2805365218
Cited by
76
References
16
Citations by year
2026: 5 · 2025: 9 · 2024: 6 · 2023: 6 · 2022: 11 · 2021: 14 · 2020: 13 · 2019: 6 · 2018: 6
FWCI
7.78
Type
journal article
Language
en
Open access
Locations
  • European Journal of Psychological Assessment (publishedVersion)
  • Open Repository and Bibliography (University of Luxembourg) (submittedVersion, cc-by-nc-sa)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Education › Educational Assessment and Pedagogy
  • Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
Keywords
measurement invariance, multi-group confirmatory factor analysis, cross-group comparison, test fairness, scale validity, psychological assessment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review