Multilevel models for the experimental psychologist: Foundations and illustrative examples
By Lesa Hoffman, Michael J. Rovine. Behavior Research Methods, 2007
327 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Ecology, Evolution, Behavior and Systematics, Food Science
View Paper: https://www.semanticscholar.org/paper/97b64ab4ed5941d18755b4ebf89e7b063106c4cb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
- Eric-Jan Wagenmakers
- Håkan Nilsson
- Jörg Rieskamp
- Jared Linck
- Ian Cunnings
- Gerd Gigerenzer
- Daniel G. Goldstein
In Ecology, Evolution, Behavior and Systematics
In Food Science
Citations in the corpus
- The Utility and Application of Mixed-Effects Models in Second Language Research (2015, background): “If the model comparisons are theoretically relevant or provide useful information for other scholars, you should consider including those relevant preliminary models in the main manuscript results table (for an example, see Hoffman & Rovine, 2007, Tables 3 and 4).”
- Persons as Contexts: Evaluating Between-Person and Within-Person Effects in Longitudinal Analysis (2009, background): “An additional linear slope of age in the older group was also examined (cf. Hoffman & Rovine, 2007) but was not found to be significant in any model, and was thus not included.”
- Hierarchical Bayesian parameter estimation for cumulative prospect theory (2011, methodology): “Although hierarchical analyses can be carried out using orthodox methodology (i.e. Farrell & Ludwig, 2008; Hoffman & Rovine, 2007), there are philosophical and practical reasons to prefer the Bayesian methodology (e.g. Gelman & Hill, 2007; Lindley, 2000, respectively).”
- Methodological and empirical developments for the Ratcliff diffusion model of response times and accuracy (2009, methodology): “Although hierarchical analyses can be carried out using orthodox methodology (ie, Hoffman & Rovine, 2007 ), there are strong philosophical and practical reasons to prefer the Bayesian methodology (eg, Lindley, 2000 ; Gelman & Hill, 2007 , respectively).”