The Accuracy of Significance Tests for Slope Variance Components in Multilevel Random Coefficient Models

By David M. LaHuis, Matthew W. Ferguson. 2009

146 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Nature and Landscape Conservation, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d0e5f01a5c9a531bfff1af51a46691f47afda29a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Rebecca Guidice
2. Francis L. Huang
3. Neal P. Mero
4. J. Iun
5. Steve Werner
6. Marc van Essen
7. C. Robert
8. M. Carney

In Nature and Landscape Conservation

1. Rebecca Guidice
2. Francis L. Huang
3. Neal P. Mero
4. Steve Werner

In Statistics and Probability

1. Rebecca Guidice
2. Francis L. Huang
3. Neal P. Mero
4. J. Iun
5. Steve Werner
6. Marissa Hofstee
7. T. Dunne
8. M. Deković

Citations in the corpus

• Explained Variance Measures for Multilevel Models (2014, unknown): “In the past two decades, a number of articles (Bliese & Ployhart, 2002; Hofmann & Gavin, 1998; Kreft, de Leeuw, & Aiken, 1995; LaHuis & Ferguson, 2009; Maas & Hox, 2005), book chapters (Bliese, 2000; Long, 2012), and books (Hox, 2010; Klein & Kozlowski, 2000; Raudenbush & Bryk, 2002; Snijders &…”
• Does “Good” Corporate Governance Help in a Crisis? The Impact of Country‐ and Firm‐Level Governance Mechanisms in the European Financial Crisis (2013, background): “LaHuis and Ferguson (2009) find that increasing the number of members has a stronger effect on the power than increasing the number of groups.”
• A Field Study of the Antecedents and Performance Consequences of Perceived Accountability (2014, methodology): “…data even with nonsignificant ICCs because the ICC test (a) does not take into account the possible effects of a covariate (Snijders & Bosker, 1999), (b) does not take into account the possible effects when including interaction effects, and (c) generally has low power (LaHuis & Ferguson, 2009).”
• Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations (2021, methodology): “When using an MLM, researchers often test the need for RSs by using a modified likelihood ratio test (LaHuis & Ferguson, 2009) by using two nested models, one with the random slope specified and one without the random slope.”
• The Impact of Leader Humor on Subordinate Job Satisfaction (2016, background): “Similarly, LaHuis and Ferguson (2009) noted that the significance tests for slope variance components do not always reflect what is happening in terms of how Level 2 variables are related to the slope.”
• Classroom Climate and Contextual Effects: Conceptual and Methodological Issues in the Evaluation of Group-Level Effects (2012, unknown): “However, the conceptual framework presented here is also widely applicable to organizational, family, sociology, and medical research (eg, Bliese, 2000 ; Bliese, Chan, & Ployhart, 2007; Croon & van Veldhoven, 2007; Iverson, 1991 ; Kozlowski & Klein, 2000 ; LaHuis & Ferguson, 2009 ; Shin & Rauden”
• Maturational changes in frontal EEG alpha and theta activity from infancy into early childhood and the relation with self-regulation in boys and girls (2024, background): “This might be due to a higher power to detect slope variability when covariates are included (Hertzog et al., 2006; LaHuis and Ferguson, 2009; Stoel et al., 2006).”