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Cited by 310

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Sample Size for Multiple Regression: Obtaining Regression Coefficients That Are Accurate, Not Simply Significant.

Kelley, Ken, Maxwell, Scott E.·2003·Psychological Methods

Abstract

An approach to sample size planning for multiple regression is presented that emphasizes accuracy in parameter estimation (AIPE). The AIPE approach yields precise estimates of population parameters by providing necessary sample sizes in order for the likely widths of confidence intervals to be sufficiently narrow. One AIPE method yields a sample size such that the expected width of the confidence interval around the standardized population regression coefficient is equal to the width specified. An enhanced formulation ensures, with some stipulated probability, that the width of the confidence interval will be no larger than the width specified. Issues involving standardized regression coefficients and random predictors are discussed, as are the philosophical differences between AIPE and the power analytic approaches to sample size planning.

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Metadata

Authors
Kelley, K., & Maxwell, S. E.
Venue
Psychological Methods
Published
2003
Volume
8
Issue
3
Pages
305-321
ISSN
  • 1082-989X (ISSN-L)
  • 1939-1463
OpenAlex
W2077459813
Cited by
310
References
51
FWCI
5.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sample Size for Multiple Regression: Obtaining Regression Coefficients That Are Accurate, Not Simply Significant. https://app.cochat.ai/papers/10.1037/1082-989x.8.3.305
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Kelley, K., & Maxwell, S. E. (2003). Sample Size for Multiple Regression: Obtaining Regression Coefficients That Are Accurate, Not Simply Significant. Psychological Methods. https://doi.org/10.1037/1082-989x.8.3.305

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