Modeling Certainty with Clustered Data: A Comparison of Methods
By Kevin Arceneaux, David W. Nickerson. Political Analysis, 2009
218 citations recorded by the source corpus.
Subfields: Political Science and International Relations, Sociology and Political Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/34cab6ec5923d6cfb9ead516fdae96c757baeafc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Political Science and International Relations
- Francis L. Huang
- J. Kirksey
- Nathaniel P. Graham
- Susanne Köll
- Achim Zeileis
- Drew A. Linzer
- Michael A. Gottfried
- R. Franzese
In Sociology and Political Science
In Statistics and Probability
- Francis L. Huang
- Nathaniel P. Graham
- Susanne Köll
- J. Kirksey
- T. Clark
- Achim Zeileis
- Drew A. Linzer
- Michael A. Gottfried
Citations in the corpus
- Multilevel Modeling and Ordinary Least Squares Regression: How Comparable Are They? (2018, methodology): “Studies comparing regression coefficients estimated using OLS regression and MLM have shown the parameter estimates may not differ greatly between the two methods (Astin & Denson, 2009; Hox, 1998; Lai & Kwok, 2015). Others have mentioned that OLS will “usually produce unbiased estimates for the regr”
- Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020, methodology): “The two most important parameters to control for this are the cluster correlation ρ , obviously, and the number of clusters G as bias decreases with increasing number of clusters (Green and Vavreck 2008; Arceneaux and Nickerson 2009; Harden 2011).”
- Should I Use Fixed or Random Effects? (2014, background): “…properties of both approaches (for example, Kreft and DeLeeuw 1998; Robinson 1998; Kennedy 2003; Frees 2004; Gelman 2005; Wilson and Butler 2007; Arceneaux and Nickerson 2009; Wooldridge 2010; Greene 2012), recommendations for applied researchers are often confusing—or even contradictory…”
- “When” Students Miss School: The Role of Timing of Absenteeism on Students’ Test Performance (2017, methodology): “…our error at the classroom level with these data, our model generates the similar coefficients and standard errors as would a hierarchical linear model that accounted for the same nested structure (Arceneaux & Nickerson, 2009; Claessens, 2012; Newman, Newman, & Salzman, 2010; Williams, 2000).”