Article
Psychology, Mathematical
Philip Thierfelder, Zhenguang G. Cai, Shuting Huang, Hao Lin
Summary: This study investigates the lexical effects on simplified Chinese character recognition by deaf readers. The results show that deaf readers exhibit higher accuracy and faster recognition in character recognition compared to hearing readers. Factors influencing character recognition accuracy and speed in deaf readers include frequency, acquisition time, stroke counts, orthographic complexity, imageability, and concreteness in reference. Deaf readers rely more on orthographic structure rather than phonological information during character recognition, compared to hearing readers.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Mathematics, Interdisciplinary Applications
Ying Liu, Steven Andrew Culpepper
Summary: This study proposes new identifiability conditions for the parameters of Restricted Latent Class Models (RLCMs) for multiclass data and discusses their implications for substantive applications. A Bayesian framework is proposed to infer model parameters, and parameter recovery is assessed through a Monte Carlo simulation study. The model is also applied to a real dataset.
Correction
Psychology, Mathematical
Guido M. Linders, Max M. Louwerse
BEHAVIOR RESEARCH METHODS
(2023)
Article
Psychology, Mathematical
Jonas Van der Donckt, Mitchel Kappen, Vic Degraeve, Kris Demuynck, Marie-Anne Vanderhasselt, Sofie Van Hoecke
Summary: This paper introduces the Ghent Semi-spontaneous Speech Paradigm (GSSP), a method for collecting unscripted speech data. The results indicate that GSSP is able to capture spontaneous speech effectively and differentiate it from read-aloud speech.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Psychology, Mathematical
Shujuan Ye, Tian Ye, Ziyi Duan, Xiaowei Ding
Summary: This study investigated how working memory stores gaze direction. The results supported the embedding hypothesis, suggesting that gaze memory is related to the context of the face.
PSYCHONOMIC BULLETIN & REVIEW
(2023)
Article
Psychology, Mathematical
Abhilasha A. Kumar, Molly Apsel, Larry Zhang, Nancy Xing, Michael N. Jones
Summary: This study introduces forager, a Python package and web interface for analyzing data from the verbal fluency task. The tool provides various automated methods and computational models to study clustering and switching in memory search behavior, as well as evaluate model performance.
BEHAVIOR RESEARCH METHODS
(2023)
Review
Psychology, Mathematical
Tilo Strobach
Summary: This study explores the coordination processes and capacity limitations in dual-task execution, and also identifies the presence of a meta-cognitive control level for adjustment in addition to active coordination processes.
PSYCHONOMIC BULLETIN & REVIEW
(2023)
Correction
Psychology, Mathematical
Maria M. Robinson, Isabella C. Destefano, Edward Vul, Timothy F. Brady
BEHAVIOR RESEARCH METHODS
(2023)
Article
Psychology, Mathematical
Rumen Manolov, Rene Tanious
Summary: This article investigates the effects of two different randomization procedures applicable to changing criterion designs and estimates their error rates and statistical power. The results suggest that randomization tests can effectively control error rates and achieve sufficient statistical power under appropriate design and measurement conditions.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Psychology, Mathematical
Yuqing Cai, Christoph Strauch, Stefan van der Stigchel, Marnix Naber
Summary: This article introduces an open-source toolkit called Open-DPSM for modeling the changes in pupil size in response to dynamic visual inputs. The toolkit improves the prediction of pupil size changes and provides Python functions and a graphical user interface. Users can use the predicted pupil trace to mitigate the effects of low-level features or evaluate the efficacy of low-level feature manipulations.
BEHAVIOR RESEARCH METHODS
(2023)
Correction
Psychology, Mathematical
Chee Seng Chong, Chris Davis, Jeesun Kim
BEHAVIOR RESEARCH METHODS
(2023)
Article
Psychology, Mathematical
Jiali Song, Anna Kosovicheva, Benjamin Wolfe
Summary: Driving requires vision and cognition, but there is little empirical data on how they support safe driving. Studying perception during natural driving is difficult and dangerous, so we propose using realistic driving footage as stimuli. We curated a set of annotated video clips and asked observers to rate their perceived hazardousness.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Mathematics, Interdisciplinary Applications
Yuqi Gu
Summary: This article proposes a new family of DeepCDMs models that hunt for deep discrete diagnostic information using deep generative modeling. These models are identifiable, parsimonious, and interpretable. They have transparent identifiability conditions, Bayesian formulations, and efficient sampling algorithms.
Article
Education & Educational Research
Walter P. Vispoel, Hyeri Hong, Hyeryung Lee, Terrence D. Jorgensen
Summary: This article illustrates how to analyze generalizability theory designs using structural equation modeling software and compares the results with those obtained from other packages. It also demonstrates practical applications and ways to go beyond the limitations of traditional software packages.
APPLIED MEASUREMENT IN EDUCATION
(2023)
Article
Psychology, Mathematical
Deanna M. Kaplan, Colin A. Tidwell, Joanne M. Chung, Eva Alisic, Burcu Demiray, Michelle Bruni, Selena Evora, Julia A. Gajewski-Nemes, Alessandra Macbeth, Shaminka N. Mangelsdorf, Jennifer S. Mascaro, Kyle S. Minor, Rebecca N. Noga, Nicole R. Nugent, Angelina J. Polsinelli, Kelly E. Rentscher, Annie W. Resnikoff, Megan L. Robbins, Richard B. Slatcher, Alma B. Tejeda-Padron, Matthias R. Mehl
Summary: Ambient audio sampling methods have gained prominence in research, but face challenges related to cultural backgrounds and identities. An international consortium of researchers provides recommendations and advocates for community-engaged research methods.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Mathematics, Interdisciplinary Applications
Siwei Liu, Di Jody Zhou
Summary: Vector autoregressive (VAR) modelling is widely used in psychology for time series analysis. However, short time series in psychological studies can lead to overfitting and impair predictive ability. This simulation study found that cross-validation methods, especially blocked CV, are effective in estimating prediction errors and outperform traditional methods like AIC and BIC. CV methods tend to underestimate prediction errors of simpler models, but overestimate prediction errors of VAR models, especially with small sample sizes.
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY
(2023)
Review
Psychology, Mathematical
Guro S. Sjuls, Nora N. Harvei, Mila D. Vulchanova
Summary: Statistical language-learning involves the ability to extract regularities from continuous speech and segment it for storage in memory. Recent research suggests that this segmentation process is reflected in neural activity aligned with the statistical structure of the input. However, the extent to which this can predict learning outcomes is currently unclear. This scoping review found that all 11 included studies observed entrainment to the underlying statistical pattern, and six of them demonstrated a significant association between entrainment and learning outcome. The authors speculate that neural entrainment may reflect a general auditory processing mechanism rather than just speech segmentation.
PSYCHONOMIC BULLETIN & REVIEW
(2023)
Article
Mathematics, Interdisciplinary Applications
Jacopo Di Iorio, Simone Vantini
Summary: In this paper, the funLOCI algorithm is introduced to identify functional local clusters or functional loci by considering the shape of curves and incorporating ideas from multivariate and functional clustering. The algorithm is applied to a real-data case regarding inner carotid arteries.
JOURNAL OF CLASSIFICATION
(2023)
Review
Psychology, Mathematical
Robert M. Nosofsky, Robert G. Cook, Muhammad A. J. Qadri, Mingjia Hu
Summary: Past studies have shown that pigeons are capable of learning complex categories and remembering a large number of individual objects. Recent research indicates that pigeons may use a combination of category-based information and item-specific memorization to solve a task that explores temporally organized behaviors in animals. This article presents computational models that provide deeper insights into the theoretical mechanisms underlying animal behavior.
PSYCHONOMIC BULLETIN & REVIEW
(2023)
Article
Psychology, Mathematical
Gaspar Lukacs, Erwin Haasnoot
Summary: The present tutorial provides a technical overview of creating web applications for online psychological experiments using the HTML/CSS/JavaScript framework from scratch. It is suitable for beginners and can also serve as a helpful guideline for experienced programmers and researchers. The tutorial is connected to a specific implementation provided through a free and open-source template project to encourage community collaboration and keep up with the latest technological advancements and best practices.
BEHAVIOR RESEARCH METHODS
(2023)
