Cited by 719Statistical Methods and ApplicationsStatistical Methods and Bayesian InferencePsychometric Methodologies and Testing

The Johnson-Neyman Technique, its Theory and Application

Johnson, Palmer O., Fay, Leo C.·1950·Psychometrika

Abstract

The theoretical basis for the Johnson-Neyman Technique is here presented for the first time in an American journal. In addition, a simplified working procedure is outlined, step-by-step, for an actual problem. The determination of significance is arrived at early in the analysis; and where no significant difference is found, the problem is complete at this point. The plotting of the region of significance where a significant difference does exist has also been simplified by using the procedure of rotation and translation of axes.

Integrity signals

Registry

Crossref · 10.1007/bf02288864

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Johnson, P. O., & Fay, L. C.
Affiliations
  • University of Minnesota (US)
  • SUNY Cortland (US)
Venue
Psychometrika
Published
1950-12
Volume
15
Issue
4
Pages
349-367
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
OpenAlex
W2078346832
Cited by
719
References
19
Citations by year
2026: 56 · 2025: 69 · 2024: 74 · 2023: 79 · 2022: 52 · 2021: 65 · 2020: 66 · 2019: 44 · 2018: 37 · 2017: 36 · 2016: 31 · 2015: 23 · 2014: 20 · 2013: 11 · 2012: 11
FWCI
8.53
Type
journal article
Language
en
Open access
closed
Locations
  • Psychometrika (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Keywords
interaction effects, significance testing, two-way analysis of variance, interaction plots
MeSH terms
Humans, Psychometrics

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