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Point Estimates and Confidence Intervals in Measures of Association
Six statistics for estimating the population correlation ratio, ρ 2 , were examined for bias. The expected value of an adjusted version of the sample correlation ratio, , was found to be slightly less biased but also less consistent than ω 2 or 2 with small population effects and sample sizes. A sim...
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Published in: | Psychological bulletin 1985-07, Vol.98 (1), p.160-165 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Six statistics for
estimating the population correlation ratio,
ρ
2
, were examined for bias. The
expected value of an adjusted version of the sample correlation ratio,
, was found to be
slightly less biased but also less consistent than
ω
2
or
2
with small population effects
and sample sizes. A simplified method for generating approximate confidence intervals for
ρ
2
was developed and found to be
quite efficient relative to computation time. It was suggested that the determination of
the median effect size and its confidence interval directly from the observed
F
ratio can aid in the evaluation of research contributions and is seen
as particularly useful to editors, reviewers, and meta-analysts. |
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ISSN: | 0033-2909 1939-1455 |
DOI: | 10.1037/0033-2909.98.1.160 |