Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 262

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Introduction: Statistical and Methodological Myths and Urban Legends: Where, Pray Tell, Did They Get This Idea?

Vandenberg, Robert J.·2006·Organizational Research Methods

Abstract

Although a kernel of truth or appropriateness underlies each one, numerous methodological and statistical criteria have been stretched beyond that kernel and have evolved into myths and urban legends. They are truly legends in that those applying it were told it was so and have thus accepted it and perpetuated it themselves in interactions with others. This is particularly prevalent in the manuscript development and review processes in which the mythical aspects of those criteria are applied. The end result is a degradation of the research process. The feature topic's purpose is to uncover the kernel of truth underlying the mythical nature of alternative model testing, cutoff values for certain criteria, common method bias, and mediation test. It is developmental in nature in that the desired result is to end the legendary application of those criteria and return to applying them in their intended manner.

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 · 10.1177/1094428105285506

Cites

1 of 1 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.

Metadata

Authors
Vandenberg, R. J.
Venue
Organizational Research Methods
Published
2006-04
Volume
9
Issue
2
Pages
194-201
ISSN
  • 1094-4281 (ISSN-L)
  • 1552-7425
OpenAlex
W2086091012
Cited by
262
References
1
FWCI
5.28
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: Introduction: Statistical and Methodological Myths and Urban Legends: Where, Pray Tell, Did They Get This Idea? https://app.cochat.ai/papers/10.1177/1094428105285506
The paper
Vandenberg, R. J. (2006). Introduction: Statistical and Methodological Myths and Urban Legends: Where, Pray Tell, Did They Get This Idea? Organizational Research Methods. https://doi.org/10.1177/1094428105285506

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.