Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 185

The DOI matches its OpenAlex record; 9 of the 9 references it cites were found in a registry or an index.

The Generality/Specificity of Expertise in Scientific Reasoning

Open access
Christian Dieter Schunn, John R. Anderson·1999·Cognitive Science

Abstract

Previous research on scientific reasoning has shown that it involves a diverse set of skills.Yet, little is known about generality or domain specificity of those skills, an important issue in theories of expertise and in attempts to automate scientific reasoning skills.We present a study designed to test what kinds of skills psychologists actually use in designing and interpreting experiments and contrast expertise within a particular research area with general expertise at designing and interpreting experiments.The results suggest that psychologists use many domain-general skills in their experimentation and that bright and motivated Carnegie Mellon undergraduates are missing many of these skills.We believe that these results have important implications for psychological and artificial intelligence models of expertise, as well as educational implications in the domain of science instruction.

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

OpenAlex · 10.1016/s0364-0213(99)00006-3

Cites

9 of 9 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 9 references

Cited by

See all 185

Metadata

Authors
Schunn, C. D., & Anderson, J. R.
Venue
Cognitive Science
Publisher
Wiley
Published
1999-07-01
Volume
23
Issue
3
Pages
337-370
ISSN
0364-0213 (ISSN-L)
OpenAlex
W2012329609
Cited by
185
References
9
FWCI
33.70
Type
journal article
Language
en
Open access
bronze

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: The Generality/Specificity of Expertise in Scientific Reasoning. https://app.cochat.ai/papers/10.1016/s0364-0213(99)00006-3
The paper
Schunn, C. D., & Anderson, J. R. (1999). The Generality/Specificity of Expertise in Scientific Reasoning. Cognitive Science. https://doi.org/10.1016/s0364-0213(99)00006-3

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.