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Cited by 538

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

What Future Quantitative Social Science Research Could Look Like: Confidence Intervals for Effect Sizes

Thompson, Bruce·2002·Educational Researcher

Abstract

An improved quantitative science would emphasize the use of confidence intervals (CIs), and especially CIs for effect sizes. This article reviews some definitions and issues related to developing these intervals. Confidence intervals for effect sizes are especially valuable because they facilitate meta-analytic thinking and the interpretation of intervals via comparison with the effect intervals from related prior studies. Several recommendations for the thoughtful use of such CIs are presented.

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Metadata

Authors
Thompson, B.
Venue
Educational Researcher
Published
2002-04
Volume
31
Issue
3
Pages
25-32
ISSN
  • 0013-189X (ISSN-L)
  • 1935-102X
OpenAlex
W2111096139
Cited by
538
References
6
FWCI
38.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: What Future Quantitative Social Science Research Could Look Like: Confidence Intervals for Effect Sizes. https://app.cochat.ai/papers/10.3102/0013189x031003025
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Thompson, B. (2002). What Future Quantitative Social Science Research Could Look Like: Confidence Intervals for Effect Sizes. Educational Researcher. https://doi.org/10.3102/0013189x031003025

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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.