Results 11 to 20 of about 10,130,111 (108)

On Aggregation Invariance of Multinomial Processing Tree Models

open access: yes, 2023
Reproducible R code for simulations, analysis, and figures reported in Erdfelder, E., Quevedo Pütter, J., & Schnuerch, M. (2023).
Martin Schnuerch   +2 more
core   +8 more sources

Tutorial on Multinomial Processing Tree Modeling: How to Develop, Test, and Extend MPT Models

open access: yes, 2023
Supplementary material for: Tutorial on multinomial processing tree modeling: How to develop, test, and extend MPT models (Schmidt, Erdfelder, & Heck ...
Oliver Schmidt   +2 more
core   +8 more sources

Parameter identification in multinomial processing tree models [PDF]

open access: yes, 2010
Multinomial processing tree models form a popular class of statistical models for categorical data that have applications in various areas of psychological research.
Batchelder, W.H.   +13 more
core   +1 more source

A Comparison of Correlation and Regression Approaches for Multinomial Processing Tree Models

open access: yes, 2020
Here, we provide supplementary materials for the article: Jobst, L. J., Heck, D. W., & Moshagen, M. (2020). A comparison of correlation and regression approaches for multinomial processing tree models.
morten moshagen   +2 more
core   +8 more sources

Differential patterns of planning impairments in Parkinson's disease and sub-clinical signs of dementia? A latent-class model-based approach. [PDF]

open access: yesPLoS ONE, 2012
Planning impairments mark a well-documented consequence of neurodegenerative diseases such as Parkinson's disease (PD). Recently, using the Tower of London task we demonstrated that, rather than being generally impaired, PD patients selectively fail when
Lena Köstering   +3 more
doaj   +1 more source

Bayesian inference for Poisson and multinomial log-linear models [PDF]

open access: yes, 2009
Categorical data frequently arise in applications in the social sciences. In such applications,the class of log-linear models, based on either a Poisson or (product) multinomial response distribution, is a flexible model class for inference and ...
Forster, Jonathan J.
core   +2 more sources

Using a Multinomial Tree Model for Detecting Mixtures in Perceptual Detection

open access: yesFrontiers in Psychology, 2014
In the area of memory research there have been two rival approaches for memory measurement– signal detection theory (SDT) and multinomial processing trees (MPT).
Richard Anthony Chechile
doaj   +1 more source

Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics [PDF]

open access: yesITM Web of Conferences
Sentiment analysis, a crucial subfield of natural language processing, enables businesses and policymakers to understand public emotions and opinions, essential for crafting effective strategies across industries like marketing and customer service.
Wang Yili
doaj   +1 more source

Predicting Behavior With Implicit Measures: Disillusioning Findings, Reasonable Explanations, and Sophisticated Solutions

open access: yesFrontiers in Psychology, 2019
Two decades ago, the introduction of the Implicit Association Test (IAT) sparked enthusiastic reactions. With implicit measures like the IAT, researchers hoped to finally be able to bridge the gap between self-reported attitudes on one hand and behavior ...
Franziska Meissner   +4 more
doaj   +1 more source

Investigating the Social Boundaries of Fairness by Modeling Ultimatum Game Responders’ Decisions with Multinomial Processing Tree Models

open access: yesGames
Fairness in competitive games such as the Ultimatum Game is often defined theoretically. According to some of the literature, in which fairness is determined only based on resource allocation, a proposal splitting resources evenly (i.e., 5:5) is ...
Marco Biella, Max Hennig, Laura Oswald
doaj   +1 more source

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