Pages that link to "Item:Q971531"
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The following pages link to Hierarchical multinomial processing tree models: a latent-trait approach (Q971531):
Displaying 29 items.
- How hierarchical models improve point estimates of model parameters at the individual level (Q313077) (← links)
- Adjusted priors for Bayes factors involving reparameterized order constraints (Q313086) (← links)
- A Bayesian hierarchical mixture approach to individual differences: case studies in selective attention and representation in category learning (Q396240) (← links)
- Hierarchical Bayesian parameter estimation for cumulative prospect theory (Q631949) (← links)
- Evaluating models of recognition memory using first- and second-choice responses (Q634595) (← links)
- Hierarchical Bayesian modeling for test theory without an answer key (Q748205) (← links)
- Monotonicity of rank order probabilities in signal detection models of simultaneous detection and identification (Q825153) (← links)
- Hierarchical multinomial modeling to explain individual differences in children's clustering in free recall (Q826862) (← links)
- Parameter validation in hierarchical MPT models by functional dissociation with continuous covariates: an application to contingency inference (Q826874) (← links)
- A comparison of correlation and regression approaches for multinomial processing tree models (Q826884) (← links)
- Parameter estimation approaches for multinomial processing tree models: a comparison for models of memory and judgment (Q826887) (← links)
- Cognitive psychometrics: the scientific legacy of William H. Batchelder (1940--2018) (Q826953) (← links)
- Beta-MPT: multinomial processing tree models for addressing individual differences (Q972241) (← links)
- Multinomial processing tree models of factorial categorization (Q1368394) (← links)
- RT-MPTs: process models for response-time distributions based on multinomial processing trees with applications to recognition memory (Q1645047) (← links)
- Sequential hypothesis tests for multinomial processing tree models (Q2177490) (← links)
- An application of multinomial processing tree models and Bayesian methods to understanding memory impairment (Q2177494) (← links)
- Modeling intensive polytomous time-series eye-tracking data: a dynamic tree-based item response model (Q2195817) (← links)
- Representing probabilistic models of knowledge space theory by multinomial processing tree models (Q2197071) (← links)
- Selecting amongst multinomial models: an apologia for normalized maximum likelihood (Q2197107) (← links)
- Hierarchical multinomial processing tree models: a latent-class approach (Q2260951) (← links)
- Bayesian estimation of circumplex models subject to prior theory constraints and scale-usage bias (Q2260952) (← links)
- Generalized processing tree models: jointly modeling discrete and continuous variables (Q2318848) (← links)
- A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling (Q2331157) (← links)
- Parametric order constraints in multinomial processing tree models: an extension of Knapp and Batchelder (2004) (Q2348068) (← links)
- Bayesian estimation of multinomial processing tree models with heterogeneity in participants and items (Q2348194) (← links)
- Hierarchical Graphical Bayesian Models in Psychology (Q5114004) (← links)
- Random effects multinomial processing tree models: a maximum likelihood approach (Q6057039) (← links)
- RT-MPTs: process models for response-time distributions with diffusion-model kernels (Q6595392) (← links)
