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A Sequential Sampling Approach to the Integration of Habits and Goals
Habits often conflict with goal-directed behaviors and this phenomenon continues to attract interests from neuroscientists, experimental...
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Efficiency in sequential testing: Comparing the sequential probability ratio test and the sequential Bayes factor test
In a sequential hypothesis test, the analyst checks at multiple steps during data collection whether sufficient evidence has accrued to make a...
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Sequential sampling models without random between-trial variability: the racing diffusion model of speeded decision making
Most current sequential sampling models have random between-trial variability in their parameters. These sources of variability make the models more...
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The role of episodic memory sampling in evaluation
Many models of choice assume that people retrieve memories of past experiences and use them to guide evaluation and choice. In this paper, we examine...
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Mechanisms of within-session sequential behavior in pigeons
Correctly and efficiently selecting among options is critical to the organization of behavior across different time scales (minutes, days, seasons)....
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Toward a more comprehensive modeling of sequential lineups
Sequential lineups are one of the most commonly used procedures in police departments across the USA. Although this procedure has been the target of...
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Neurophysiological insights into sequential decision-making: exploring the secretary problem through ERPs and TBR dynamics
Decision-making under uncertainty, a cornerstone of human cognition, is encapsulated by the “secretary problem” in optimal stopping theory. Our study...
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Multiple imputation of missing data in multilevel models with the R package
mdmb : a flexible sequential modeling approachMultilevel models often include nonlinear effects, such as random slopes or interaction effects. The estimation of these models can be difficult when...
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How do students reason about statistical sampling with computer simulations? An integrative review from a grounded cognition perspective
Interactive computer simulations are commonly used as pedagogical tools to support students’ statistical reasoning. This paper examines whether and...
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A Stan tutorial on Bayesian IRTree models: Conventional models and explanatory extension
IRTree models have been receiving increasing attention. However, to date, there are limited sources that provide a systematic introduction to...
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A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models
The measurement of latent traits and investigation of relations between these and a potentially large set of explaining variables is typical in...
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Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring
The study presents statistical procedures that monitor functioning of items over time. We propose generalized likelihood ratio tests that surveil...
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A tutorial on fitting joint models of M/EEG and behavior to understand cognition
We present motivation and practical steps necessary to find parameter estimates of joint models of behavior and neural electrophysiological data....
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A Behavioral Economic Examination of Sexual Behaviors in the Era of Pre-exposure Prophylaxis via Explanatory Sequential Mixed Methods
Pre-exposure prophylaxis (PrEP) use may be associated with condom use decisions. The current investigation examined sexual decision-making in the...
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Temporally Dynamic, Cohort-Varying Value-Added Models
We aim to estimate school value-added dynamically in time. Our principal motivation for doing so is to establish school effectiveness persistence...
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Of Rodents and Primates: Time-Variant Gain in Drift–Diffusion Decision Models
Sequential sampling models of decision-making involve evidence accumulation over time and have been successful in capturing choice behaviour. A...
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Development of an open-source solution to facilitate the use of one-button wearables in experience sampling designs
The experience sampling method (
ESM ) allows for a high degree of ecological validity compared to laboratory research, at the cost of greater effort...
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Comparing DIC and WAIC for multilevel models with missing data
In Bayesian statistics, the most widely used criteria of Bayesian model assessment and comparison are Deviance Information Criterion ( DIC ) and...
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Framing Subjective Emotion Reports as Dynamic Affective Decisions
Self-reports remain affective science’s only direct measure of subjective affective experiences. Yet, little research has sought to understand the...
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Adjusted Residuals for Evaluating Conditional Independence in IRT Models for Multistage Adaptive Testing
The key assumption of conditional independence of item responses given latent ability in item response theory (IRT) models is addressed for...
