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Cited by 6

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

How to Fool Yourself With Experiments in Testing Theories in Psychological Research.

Wittmann, Werner W., Klumb, Petra L.·2006·Strengthening research methodology: Psychological measurement and evaluation.
DOI 10.1037/11384-010
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Overview

Integrity signals

Registry

Crossref · 10.1037/11384-010

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

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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?

Citations

Cites

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Cited by

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Metadata

Authors
Wittmann, W. W., & Klumb, P. L.
ORCID
Klumb, Petra L.
Venue
Strengthening research methodology: Psychological measurement and evaluation.
Publisher
American Psychological Association
Published
2006
Pages
185-211
DOI
10.1037/11384-010
Cited by
6
References
57
Language
en

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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.

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This page
CoChat. (2026). Citation check: How to Fool Yourself With Experiments in Testing Theories in Psychological Research. https://app.cochat.ai/papers/10.1037/11384-010
The paper
Wittmann, W. W., & Klumb, P. L. (2006). How to Fool Yourself With Experiments in Testing Theories in Psychological Research. Strengthening research methodology: Psychological measurement and evaluation. https://doi.org/10.1037/11384-010

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.