Dealing With Dependence (Part I): Understanding the Effects of Clustered Data
By D. McCoach, J. Adelson. 2010
160 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4cac5322a2eb5944d4eb5cf8ede170206a5560a6
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Citations in the corpus
- The impact of promoting transcription on early text production: Effects on bursts and pauses, levels of written language, and writing performance. (2016, unknown): “Thus, all t-statistics were corrected for clustering, following the guidelines of McCoach and Adelson (2010).”
- Multilevel Modeling and Ordinary Least Squares Regression: How Comparable Are They? (2018, background): “However, it should be recognized that MLM is highly flexible and can be used to answer several other research questions or perform tasks that involve partitioning variance at different levels or examining cross-classified models (McCoach & Adelson, 2010; McNeish, Stapleton, & Silverman, 2016).”
- Disentangling the Roles of Institutional and Individual Poverty in the Identification of Gifted Students (2018, background): “…in more appropriate standard error estimates, and allows researchers to ask and answer nuanced questions about interactions that occur across the multiple levels of analysis (McCoach, 2010; McCoach & Adelson, 2010; Raudenbush & Bryk, 2002; Raudenbush, Bryk, Cheong, Congdon, & Du Toit, 2011).”
- Development and Psychometric Properties of the Math and Me Survey (2011, methodology): “To calculate the intraclass correlation coefficient (ICC), which indicates the degree of homogeneity of students within classes (McCoach & Adelson, 2010), and to determine the average Mathematical Self-Perceptions score, we first ran a null model that included no predictors.”