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Stimulus Selection in a Q-learning Model Using Fisher Information and Monte Carlo Simulation
Reinforcement learning models have been extensively studied for decision-making tasks with reward feedback. However, in designing an experiment to...
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Estimating and Using Block Information in the Thurstonian IRT Model
Multidimensional forced-choice (MFC) tests are increasing in popularity but their construction is complex. The Thurstonian item response model...
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The Fisher and Neyman-Pearson Theories of Statistical Inference
This chapter explores how Fisher, and then Neyman and Pearson, tried to build a theory of statistical inference from the frequency definition of...
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On the Information Obtainable from Comparative Judgments
Personality tests employing comparative judgments have been proposed as an alternative to Likert-type rating scales. One of the main advantages of a...
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Procrustes Analysis for High-Dimensional Data
The Procrustes-based perturbation model (Goodall in J R Stat Soc Ser B Methodol 53(2):285–321, 1991) allows minimization of the Frobenius distance...
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Emotion Efficacy Improves Prediction of HIV/AIDS Risky Behaviors: A Modified Information-Motivation-Behavioral Skills Model
Although the information-motivation-behavioral (IMB) skills model is a functional and well-known model for HIV/AIDS prevention, there are criticisms...
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Item selection methods in multidimensional computerized adaptive testing for forced-choice items using Thurstonian IRT model
Multidimensional computerized adaptive testing for forced-choice items (MFC-CAT) combines the benefits of multidimensional forced-choice (MFC) items...
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Sexual and Reproductive Health Information: Disparities Across Sexual Orientation Groups in Two Cohorts of US Women
IntroductionLimited research exists about how receiving/seeking sexual and reproductive health (SRH) information differs by sexual orientation. Our...
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Measures of Agreement with Multiple Raters: Fréchet Variances and Inference
Most measures of agreement are chance-corrected. They differ in three dimensions: their definition of chance agreement, their choice of disagreement...
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Blind Subgrou** of Task-based fMRI
Significant heterogeneity in network structures reflecting individuals’ dynamic processes can exist within subgroups of people (e.g., diagnostic...
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Looking with the (computer) mouse: How to unveil problem-solving strategies in matrix reasoning without eye-tracking
Problem-solving strategies in visual reasoning tasks are often studied based on the analysis of eye movements, which yields high-quality data but is...
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Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes
Wu and Browne (Psychometrika 80(3):571–600, 2015. https://doi.org/10.1007/s11336-015-9451-3 ; henceforth W &B) introduced the notion of adventitious...
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Regularized Robust Confidence Interval Estimation in Cognitive Diagnostic Models
Although prior work has investigated the effects of model misspecification on inference in Cognitive Diagnostic Models (CDMs) (e.g., Liu et al.,...
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Handling dependent samples in meta-analytic structural equation models: A Wishart-based approach
We present an approach to meta-analytic structural equation models that relies on hierarchical modeling of sample covariance matrices under the...
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Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
Intensive longitudinal data (ILD) is an increasingly common data type in the social and behavioral sciences. Despite the many benefits these data...
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Memory dual N-back training using mobile devices and its effect on working memory capacity
Working Memory (WM) considers the ability to process and store information and is commonly translated into the acquisition of new knowledge and...
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Memory from nonsense syllables to novels: A survey of retention
Memory has been the subject of scientific study for nearly 150 years. Because a broad range of studies have been done, we can now assess how...
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Multivariate Generalized Linear Models for Twin and Family Data
Multivariate twin and family studies are one of the most important tools to assess diseases inheritance as well as to study their genetic and...
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Letter visual similarity of Japanese hiragana and katakana based on reaction times
Letter similarity (i.e., perceptual distance) is a critical measure to better understand letter perception and literacy development. Despite its...
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