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Direct linkKelley, Ken; Preacher, Kristopher J. – Psychological Methods, 2012
The call for researchers to report and interpret effect sizes and their corresponding confidence intervals has never been stronger. However, there is confusion in the literature on the definition of effect size, and consequently the term is used inconsistently. We propose a definition for effect size, discuss 3 facets of effect size (dimension,…
Descriptors: Intervals, Effect Size, Correlation, Questioning Techniques
Alexander, Joyce M.; Johnson, Kathy E.; Kelley, Ken – Science Education, 2012
Relations between parental reports of children's interests related to science and opportunities for science learning were examined longitudinally in 192 children between ages 4 and 7 years. Science interests were tracked during 1-year periods (ages 4-5, 5-6, and 6-7) and were more prevalent among boys, particularly prior to age 6 years. Gender…
Descriptors: Childhood Interests, Informal Education, Gender Differences, Science Interests
Kelley, Ken; Rausch, Joseph R. – Psychological Methods, 2011
Longitudinal studies are necessary to examine individual change over time, with group status often being an important variable in explaining some individual differences in change. Although sample size planning for longitudinal studies has focused on statistical power, recent calls for effect sizes and their corresponding confidence intervals…
Descriptors: Intervals, Sample Size, Effect Size, Longitudinal Studies
Kelley, Ken – Multivariate Behavioral Research, 2008
Methods of sample size planning are developed from the accuracy in parameter approach in the multiple regression context in order to obtain a sufficiently narrow confidence interval for the population squared multiple correlation coefficient when regressors are random. Approximate and exact methods are developed that provide necessary sample size…
Descriptors: Health Services, Intervals, Sample Size, Innovation
Kelley, Ken; Rausch, Joseph R. – Psychological Methods, 2006
Methods for planning sample size (SS) for the standardized mean difference so that a narrow confidence interval (CI) can be obtained via the accuracy in parameter estimation (AIPE) approach are developed. One method plans SS so that the expected width of the CI is sufficiently narrow. A modification adjusts the SS so that the obtained CI is no…
Descriptors: Intervals, Social Sciences, Sample Size, Computation
Kelley, Ken – Educational and Psychological Measurement, 2005
The standardized group mean difference, Cohen's "d", is among the most commonly used and intuitively appealing effect sizes for group comparisons. However, reporting this point estimate alone does not reflect the extent to which sampling error may have led to an obtained value. A confidence interval expresses the uncertainty that exists between…
Descriptors: Intervals, Sampling, Integrity, Effect Size
