Correcting a Significance Test for Clustering

By L. Hedges. 2007

130 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/00739ff6d720177b7057b790fb93db95d8fba86a

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Citations in the corpus

Flexibility in Problem Solving: The Case of Equation Solving. (2008, background): “By ignoring the nesting within classroom, differences between conditions are inflated (Bryk & Raudenbush, 1988; Hedges, 2007 ).”
A Systematic Evidence Review of the Check-In/Check-Out Program for Reducing Student Challenging Behaviors (2015, methodology): “Moreover, the significance tests associated with the pretest and posttest effect sizes were further adjusted for clustering due to the misalignment between the unit of random assignment and the unit of analysis using the procedures developed by Hedges (2007).”
Randomized, Controlled Trial of the LEAP Model of Early Intervention for Young Children With Autism Spectrum Disorders (2011, background): “We detected no initial differences between participants who stayed versus those who did not, and following Hedges (2007), we “estimated” the effects”
Interactive Book Reading in Early Education: A Tool to Stimulate Print Knowledge as Well as Oral Language (2009, methodology): “Due to inadequate descriptive data, we were unable to opt for a more elegant solution by accounting for the nonindependence of observations within schools or classes (Hedges, 2007).”
Methods for dealing with multiple outcomes in meta-analysis: a comparison between averaging effect sizes, robust variance estimation and multilevel meta-analysis (2017, background): “Therefore, ignoring the dependence will result in an overestimation of the information we have and therefore in underestimated standard errors and narrower confidence intervals for parameter estimates, which in turn can result in higher Type I error rates (Becker, 2000; Hedges, 2007).”
The Variance of Intraclass Correlations in Three- and Four-Level Models (2012, methodology): “…parameters used for power computations and the computation of optimal sample allocations among levels in the design of multilevel randomized experiments (see Konstantopoulos, 2009; Raudenbush, 1997) and for computation of effect size estimates and their variances (see Hedges, 2007, Hedges, 2011).”
Active learning increases student performance in science, engineering, and mathematics (2014, methodology): “This leads to statistical problems: The number of independent data points in each treatment is not equal to the number of students (40).”
From Gain Score t to ANCOVA F (and vice versa) (2009, background): “A recent article (Hedges, 2007) discussed in considerable detail how one might correct an analysis that inappropriately used the individual as the unit of analysis when an aggregate (classroom, school, etc.) should have been used instead.”