Modeling within-level latent interaction effects in multilevel vector-autoregressive models [0.03%]
多层次向量自回归模型中within-level潜在交互效应的估计
Jana Holtmann,Kenneth Koslowski
Jana Holtmann
The study of time-dependent within-person dynamics has gained popularity in recent years through the use of multilevel (latent) time-series models. However, due to the complexity of the models, model applications are usually limited with re...
Géraldine Jeckeln,Alice J O&#x;Toole
Géraldine Jeckeln
Despite the challenges associated with cross-race face identification, there are no publicly available tests of people's ability to identify own- versus other-race faces. We introduce the Cross-Race Face Identity Triad (CR-FIT) test, design...
An introduction to the Item Response Warehouse (IRW): A resource for enhancing data usage in psychometrics [0.03%]
项响应仓库（IRW）介绍：增强心理测量学数据使用的一个资源
Benjamin W Domingue,Mika Braginsky,Lucy Caffrey-Maffei et al.
Benjamin W Domingue et al.
The Item Response Warehouse (IRW) is a collection and standardization of a large volume of item response datasets in a free and open-source platform for researchers. We describe key elements of the data standardization process and provide a...
Correction: Fabla: A voice-based ecological assessment method for securely collecting spoken responses to researcher questions [0.03%]
correction: 法布拉：一种基于语音的安全收集受访者口头回答的生态评估方法
Deanna M Kaplan,Santiago J Arconada Alvarez,Roman Palitsky et al.
Deanna M Kaplan et al.
Published Erratum
Behavior research methods. 2025 Sep 4;57(10):274. DOI:10.3758/s13428-025-02818-9 2025
A pipeline for stochastic and controlled generation of realistic language input for simulating infant language acquisition [0.03%]
一种用于模拟婴儿语言习得的逼真语言输入的随机生成与控制管道
Okko Räsänen,Daniil Kocharov
Okko Räsänen
Computational models of early language development involve implementing theories of learning as functional learning algorithms, exposing these models to realistic language input, and comparing learning outcomes to those in infants. While re...
Publisher Correction: Data quality in crowdsourcing and spamming behavior detection [0.03%]
出版商更正：众包中的数据质量和反垃圾行为检测
Yang Ba,Michelle V Mancenido,Erin K Chiou et al.
Yang Ba et al.
Published Erratum
Behavior research methods. 2025 Sep 3;57(10):273. DOI:10.3758/s13428-025-02804-1 2025
Latent variable sequence identification for cognitive models with neural network estimators [0.03%]
基于神经网络估计器的认知模型中的潜在变量序列识别方法
Ti-Fen Pan,Jing-Jing Li,Bill Thompson et al.
Ti-Fen Pan et al.
Extracting time-varying latent variables from computational cognitive models plays a key role in uncovering the dynamic cognitive processes that drive behaviors. However, existing methods are limited to inferring latent variable sequences i...
Correction: Unveiling the intensity-ambiguity relationships among affective and lexico-semantic variables in Chinese characters and the character-word relationships in Chinese two-character words [0.03%]
关于汉字及汉语复音词中情感和词汇语义变量强度-含糊度关系的重新探讨：兼论字词关系
Xi Cheng,Chi-Shing Tse,Yuen-Lai Chan et al.
Xi Cheng et al.
Published Erratum
Behavior research methods. 2025 Aug 27;57(10):270. DOI:10.3758/s13428-025-02795-z 2025
Modeling the response style in continuous bounded responses: Model development and validation [0.03%]
连续型限制响应下的回应风格模型构建与检验
Youxiang Jiang,Biao Zeng,Siwei Peng et al.
Youxiang Jiang et al.
Existing models, such as the item response tree (IRTree), have been extensively developed to analyze response styles in Likert-scale data. However, less attention has been given to questionnaires employing continuous measurement formats. Th...
Investigating the potential psychological significance of the alpha parameter in the Lévy flight model of decision making: A reliability analysis approach [0.03%]
基于决策制定中的莱维飞行模型探讨Alpha参数的潜在心理意义：一种可靠性分析方法
Mehdi Ebrahimi Mehr,Jamal Amani Rad
Mehdi Ebrahimi Mehr
This study critically examines the cognitive and theoretical foundations of the alpha parameter within the Lévy flight model (LFM), an extension of the diffusion decision model (DDM) that incorporates heavy-tailed noise distributions. The ...