Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 676

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Ten Difference Score Myths

Edwards, Jeffrey R.·2001·Organizational Research Methods

Abstract

Difference scores have been widely used in studies of fit, similarity, and agreement. Despite their widespread use, difference scores suffer from numerous methodological problems. These problems can be mitigated or avoided with polynomial regression analysis, and this method has become increasingly prevalent during the past decade. Unfortunately, a number of potentially damaging myths have begun to spread regarding the drawbacks of difference scores and the advantages of polynomial regression. If these myths go unchecked, difference scores and the problems they create are likely to persist in studies of fit, similarity, and agreement. This article reviews 10 difference score myths and attempts to dispel these myths, focusing on studies conducted since polynomial regression was formally introduced as an alternative to difference scores.

Overview

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 · 10.1177/109442810143005

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

Show all 5 references

Cited by

See all 676

Metadata

Authors
Edwards, J. R.
Venue
Organizational Research Methods
Published
2001-07
Volume
4
Issue
3
Pages
265-287
ISSN
  • 1094-4281 (ISSN-L)
  • 1552-7425
OpenAlex
W2155753114
Cited by
676
References
5
FWCI
3.32
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Ten Difference Score Myths. https://app.cochat.ai/papers/10.1177/109442810143005
The paper
Edwards, J. R. (2001). Ten Difference Score Myths. Organizational Research Methods. https://doi.org/10.1177/109442810143005

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.