Multilevel Analysis for Applied Research: It's Just Regression! Methodology in the Social Sciences.
By Robert N. Bickel. 2007
268 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/28828eb66f4ebff85c2a3e4465e609fdb3e98d8d
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Noel A. Card
- Shomron Moyal
- T. Little
- Kristopher J Preacher
- Tal Jonathan-Zamir
- S. Mastrofski
- J. Willis
- Robert A. I. Davies
In Statistics and Probability
- Noel A. Card
- T. Little
- Robert A. I. Davies
- Lotte Meteyard
- Ove Edvard Hatlevik
- Steve Rowlinson
- Knut-Andreas Christophersen
- M. Janosz
Citations in the corpus
- Predicting Procedural Justice in Police–Citizen Encounters (2016, background): “We must be cautious interpreting the effects of the officer-level predictors due to the low statistical power of a level-2 analysis that includes only 30 officers (Bickel, 2007).”
- Best practice guidance for linear mixed-effects models in psychological science (2019, methodology): “In LMMs, the analysis process is similar to regression (Bickel, 2007).”
- Effects of school composition and school climate on teacher expectations of students: A multilevel analysis (2014, background): “Because the data have a hierarchical structure with teachers nested within schools, multilevel analysis (Raudenbush & Bryk, 2002) was favored to limit possible bias resulting from the dependency of the observations (Bickel, 2007; Hox& Kreft,1994).”
- The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment (2009, unknown): “18 For additional discussion of multilevel models, including available software, see Bickel (2007), Cameron and Trivedi (2005), Gelman and Hill (2007), Greene (2008), Hox and de Leeuw (2003), Rabe-Hesketh and Skrondal (2008), and Raudenbush and Bryk (2002).”
- Performance consequences of psychological empowerment (2009, background): “Lastly, we compared the fit (deviance) of each substantive model with that of the null and controls-only models (Bickel 2007; Luke 2004).”
- Digital competence at the beginning of upper secondary school: Identifying factors explaining digital inclusion (2013, methodology): “Bickel (2007) recommends three level analyses when the school level exceeds 5% of the total variance.”
- Modeling Longitudinal Data from Research on Adolescence (2009, background): “Many book - length treatments are available, including Bickel ( 2007 ), Hox ( 2002 ), Snijders and Bosker ( 1999 ), Kreft and de Leeuw ( 1998 ), and Raudenbush and Bryk ( 2002 ).”