Robust modeling in cognitive science

MD Lee, AH Criss, B Devezer, C Donkin, A Etz… - Computational Brain & …, 2019 - Springer
In an attempt to increase the reliability of empirical findings, psychological scientists have
recently proposed a number of changes in the practice of experimental psychology. Most …

Are you an exception to your favorite decision theory? Behavioral decision research is a linda problem!

M Regenwetter, MM Robinson, C Wang - Decision, 2022 - psycnet.apa.org
Stylized characteristics, such as loss aversion, risk aversion for gains, risk seeking for
losses, overweighting of small probabilities, and diminishing sensitivity permeate both …

Precise/not precise (PNP): A Brunswikian model that uses judgment error distributions to identify cognitive processes

J Sundh, A Collsiöö, P Millroth, P Juslin - Psychonomic Bulletin & Review, 2021 - Springer
In 1956, Brunswik proposed a definition of what he called intuitive and analytic cognitive
processes, not in terms of verbally specified properties, but operationally based on the …

An application of multinomial processing tree models and Bayesian methods to understanding memory impairment

MD Lee, JR Bock, I Cushman, WR Shankle - Journal of Mathematical …, 2020 - Elsevier
We model word-list learning over sequences of immediate and delayed free recall tasks to
study the impact of memory impairment on episodic memory. We use a previously …

Bayesian methods for analyzing true-and-error models

MD Lee - Judgment and Decision making, 2018 - cambridge.org
Birnbaum and Quispe-Torreblanca (2018) evaluated a set of six models developed under
true-and-error theory against data in which people made choices in repeated gambles. They …

MARTER: Markov true and error model of drifting parameters

MH Birnbaum, L Wan - Judgment and Decision Making, 2020 - cambridge.org
This paper describes a theory of the variability of risky choice that describes empirical
properties of choice data, including sequential effects and systematic violations of response …

True and error analysis instead of test of correlated proportions: Can we save lexicographic semiorder models with error theory?

MH Birnbaum - Psychological Methods, 2023 - psycnet.apa.org
This article criticizes conclusions drawn from the standard test of correlated proportions
when the dependent measure contains error. It presents a tutorial on a new method of …

Reanalysis of Butler and Pogrebna (2018) using true and error model

MH Birnbaum - Judgment and Decision Making, 2020 - cambridge.org
Butler and Pogrebna (2018) devised triples of three-branch gambles theorized to violate
transitivity of preference according to a most probable winner model. According to this …

Surprisingly robust violations of stochastic dominance despite splitting training: A quasi-adversarial collaboration

E Quispe-Torreblanca, N Stewart… - Judgment and Decision …, 2025 - cambridge.org
First-order stochastic dominance is a core principle in rational decision-making. If lottery A
has a higher or equal chance of winning an amount, then A should be preferred over B …

The individual true and error model: Getting the most out of limited data

P Schramm - Judgment and Decision Making, 2020 - cambridge.org
True and Error Theory (TET) is a modern latent variable modeling approach for analyzing
sets of preferences held by people. Individual True and Error Theory (iTET) allows …