A review of applications of the Bayes factor in psychological research.
The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for
hypothesis evaluation and model selection. The present review highlights the potential of …
hypothesis evaluation and model selection. The present review highlights the potential of …
How to develop, test, and extend multinomial processing tree models: A tutorial.
Many psychological theories assume that observable responses are determined by multiple
latent processes. Multinomial processing tree (MPT) models are a class of cognitive models …
latent processes. Multinomial processing tree (MPT) models are a class of cognitive models …
Bayesian hypothesis testing for Gaussian graphical models: Conditional independence and order constraints
DR Williams, J Mulder - Journal of Mathematical Psychology, 2020 - Elsevier
Gaussian graphical models (GGM; partial correlation networks) have become increasingly
popular in the social and behavioral sciences for studying conditional (in) dependencies …
popular in the social and behavioral sciences for studying conditional (in) dependencies …
Testing the foundations of signal detection theory in recognition memory.
Signal detection theory (SDT) plays a central role in the characterization of human
judgments in a wide range of domains, most prominently in recognition memory. But despite …
judgments in a wide range of domains, most prominently in recognition memory. But despite …
[PDF][PDF] Tutorial on multinomial processing tree modeling: How to develop, test, and extend MPT models
Many psychological theories assume that observable responses are determined by multiple
latent processes. Multinomial processing tree (MPT) models are a class of cognitive models …
latent processes. Multinomial processing tree (MPT) models are a class of cognitive models …
The problem of coordination and the pursuit of structural constraints in psychology
Paul Meehl's famous critique detailed many of the problematic practices and conceptual
confusions that stand in the way of meaningful theoretical progress in psychological science …
confusions that stand in the way of meaningful theoretical progress in psychological science …
A model‐based hypothesis framework to define and estimate the diel niche via the 'Diel.Niche' R package
How animals use the diel period (24‐h light–dark cycle) is of fundamental importance to
understand their niche. While ecological and evolutionary literature abound with discussion …
understand their niche. While ecological and evolutionary literature abound with discussion …
Bayesian inference for generalized linear model with linear inequality constraints
Bayesian statistical inference for Generalized Linear Models (GLMs) with parameters lying
on a constrained space is of general interest (eg, in monotonic or convex regression), but …
on a constrained space is of general interest (eg, in monotonic or convex regression), but …
Are you an exception to your favorite decision theory? Behavioral decision research is a linda problem!
Stylized characteristics, such as loss aversion, risk aversion for gains, risk seeking for
losses, overweighting of small probabilities, and diminishing sensitivity permeate both …
losses, overweighting of small probabilities, and diminishing sensitivity permeate both …
Violations of transitive preference: A comparison of compensatory and noncompensatory accounts.
R Ranyard, H Montgomery, A Luckman… - Psychological …, 2024 - psycnet.apa.org
Violations of transitive preference can be accounted for by both the noncompensatory
lexicographic semiorder heuristic and the compensatory additive difference model …
lexicographic semiorder heuristic and the compensatory additive difference model …