Hierarchical Multinomial Processing Tree Models: A Latent-Trait Approach
By Karl Christoph Klauer. 2006
256 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Experimental and Cognitive Psychology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8814077a8e17f9872a7e6fd9222a80332e75493f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Joachim Vandekerckhove
- D. Matzke
- Eric-Jan Wagenmakers
- Morten Moshagen
- J. Musch
- Zengmei Zhao
- M. Ostapczuk
- Jonathan Evans
In Experimental and Cognitive Psychology
- Joachim Vandekerckhove
- D. Matzke
- Eric-Jan Wagenmakers
- Morten Moshagen
- J. Musch
- Zengmei Zhao
- M. Ostapczuk
- Mandy Hütter
In Statistics and Probability
- Joachim Vandekerckhove
- Morten Moshagen
- D. Matzke
- Eric-Jan Wagenmakers
- J. Musch
- Zengmei Zhao
- M. Ostapczuk
- John K. Kruschke
Citations in the corpus
- Assessing Sensitive Attributes Using the Randomized Response Technique: Evidence for the Importance of Response Symmetry (2009, methodology): “Documentation for this software is available as a help file as well as in Klauer (2006) and Stahl and Klauer (2007).”
- Model Comparison and the Principle of Parsimony (2015, methodology): “As will become apparent throughout this chapter, however, our preferred method for fitting MPT models is Bayesian (Chechile & Meyer, 1976; Klauer, 2010; Lee & Wagenmakers, in press; Matzke, Dolan, Batchelder, & Wagenmakers, in press; Rouder, Lu, Morey, Sun, & Speckman, 2008; Smith & Batchelder, 2010”
- Applying processing trees in social psychology (2016, unknown): “…modelling approaches that allow for parameter heterogeneity between participants or subgroups of participants and/or items (Arnold, Bayen, & Smith, 2015; Klauer, 2006, 2010; Matzke, Dolan, Batchelder, & Wagenmakers, 2015; Rouder, Lu, Morey, Sun, & Speckman, 2008; Stahl & Klauer, 2007, 2008).”