The Power of the Test for Treatment Effects in Three-Level Cluster Randomized Designs

By S. Konstantopoulos. 2008

124 citations recorded by the source corpus.

Subfields: Education, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/be03feb57c448545f4b3b7c8ace3a563d5b9d473

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In Education

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

PowerUp!: A Tool for Calculating Minimum Detectable Effect Sizes and Minimum Required Sample Sizes for Experimental and Quasi-Experimental Design Studies (2013, unknown): “R2hT is the proportion of variance between level-h blocks on the treatment effect explained by block-level covariates (h could be 2 – 4). ωh = τ 2 T h τ 2h indicates treatment effect heterogeneity (Hedges & Rhoads, 2010; Konstantopoulos, 2008b, 2009) across level-h block, which is proportion of the ”
Connecting teacher and student motivation: Student-perceived teacher need-supportive practices and student need satisfaction (2021, background): “The statistical power of our sample differs for the teacher and student levels (Konstantopoulos, 2008).”
The Variance of Intraclass Correlations in Three- and Four-Level Models (2012, methodology): “The intraclass correlation concept in cases of three- and four-level sampling models is of great interest in the design and analysis of experiments in education (Hedges & Rhoads, 2010; Konstantopoulos, 2008a, 2008b, 2009).”
The Implications of “Contamination” for Experimental Design in Education (2011, background): “…of treatment effects is larger in experimental designs that randomize clusters than it is in designs that randomize units within clusters (Blitstein, Hannan, Murray, & Shadish, 2005; Bloom et al., 2007; Cornfield, 1978; Konstantopoulos, 2008a, 2008b; Raudenbush et al., 2007; Schochet, 2008).”
Students’ Sense of Belonging at School in 41 Countries (2016, background): “The small sample of countries (N = 41) limits identification of non-significant countrylevel results (for a .4 effect size at p = .05, statistical power = .75; Konstantopoulos, 2008).”