Behavior Research Methods最新文献_第4页

An introduction to the Item Response Warehouse (IRW): A resource for enhancing data usage in psychometrics. 项目响应仓库（IRW）的介绍：一种在心理测量学中增强数据使用的资源。

IF 3.9 2区心理学

Behavior Research Methods Pub Date : 2025-09-05 DOI: 10.3758/s13428-025-02796-y

Benjamin W Domingue, Mika Braginsky, Lucy Caffrey-Maffei, Joshua B Gilbert, Klint Kanopka, Radhika Kapoor, Hansol Lee, Yiqing Liu, Savira Nadela, Guanzhong Pan, Lijin Zhang, Susu Zhang, Michael C Frank

引用次数: 0

Constructing a cross-race face identity triad test. 构建跨种族面孔认同三联测试。

IF 3.9 2区心理学

Behavior Research Methods Pub Date : 2025-09-05 DOI: 10.3758/s13428-025-02809-w

Géraldine Jeckeln, Alice J O'Toole

{"title":"Constructing a cross-race face identity triad test.","authors":"Géraldine Jeckeln, Alice J O'Toole","doi":"10.3758/s13428-025-02809-w","DOIUrl":"10.3758/s13428-025-02809-w","url":null,"abstract":"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, designed to be challenging for individuals of varying abilities. A key methodological advantage of the CR-FIT test over other face identity matching tests is that it eliminates response bias in face-identity matching through the use of face-image triads. A triad of face images includes two images of the same person and one image of a different person; participants must select the image of the \"different\" person. A second advantage of the CR-FIT test is that it ensures comparable difficulty for face stimuli from two races (African American, AA, Caucasian, CA) by leveraging machine and human pre-screening of items. This prescreening assures that performance differences reflect own- versus other-race identity matching ability, rather than differences in stimulus set difficulty. Triads were pre-screened to be challenging based on the performance of a publicly available face-identification algorithm. Items were further screened for comparability of difficulty using the performance of AA and CA observers. The test yields a classic \"other-race effect\"- observers identify own-race faces more accurately than other-race faces, with no effect of item race. Performance for untrained participants exceeded chance, but was far below ceiling, making the test suitable for a wide range of face identity matching abilities. The CR-FIT test is publicly available in an open science platform for research purposes.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 10","pages":"278"},"PeriodicalIF":3.9,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145005869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A pipeline for stochastic and controlled generation of realistic language input for simulating infant language acquisition. 一种用于模拟幼儿语言习得的真实语言输入的随机和受控生成管道。

IF 3.9 2区心理学

Behavior Research Methods Pub Date : 2025-09-04 DOI: 10.3758/s13428-025-02772-6

Okko Räsänen, Daniil Kocharov

{"title":"A pipeline for stochastic and controlled generation of realistic language input for simulating infant language acquisition.","authors":"Okko Räsänen, Daniil Kocharov","doi":"10.3758/s13428-025-02772-6","DOIUrl":"10.3758/s13428-025-02772-6","url":null,"abstract":"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 recent research has made major strides in developing more powerful learning models and evaluation protocols grounded in infant data, models are still predominantly trained with non-naturalistic input data, such as crowd-sourced read speech or text transcripts. This is due to the lack of suitable child-directed speech (CDS) corpora in terms of scale and quality. In parallel, the question of how properties and individual variability in language input affect learning outcomes is an active area of empirical research, underlining the need for realistic yet controllable data for modeling such phenomena. This paper presents a solution to the training data problem through stochastic generation of naturalistic CDS data using statistical models, thereby enabling controlled computational simulations with naturalistic input. We provide a proof-of-concept demonstration of the approach by showing how naturalistic CDS transcripts can be generated with a language model conditioned on recipient information (here, infant age), and how text-to-speech systems can be used to convert the transcripts to high-quality speech with a controllable speaking style. We also conduct modeling experiments with generated speech corpora by varying different aspects of the data, showing how this maps into different learning outcomes, thereby demonstrating the feasibility of the approach for controlled language learning simulations. Finally, we discuss the limitations of using synthetic data in general, and of the present proof-of-concept pipeline in particular.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 10","pages":"275"},"PeriodicalIF":3.9,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12411597/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144999516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction: Fabla: A voice-based ecological assessment method for securely collecting spoken responses to researcher questions. 更正：Fabla：一种基于语音的生态评估方法，用于安全地收集对研究人员问题的口头回答。

IF 3.9 2区心理学

Behavior Research Methods Pub Date : 2025-09-04 DOI: 10.3758/s13428-025-02818-9

Deanna M Kaplan, Santiago J Arconada Alvarez, Roman Palitsky, Hyoann Choi, Gari D Clifford, Melese Crozier, Boadie W Dunlop, George H Grant, Morgan N Greenleaf, Leslie M Johnson, Jessica Maples-Keller, Holly F Levin-Aspenson, Jennifer S Mascaro, Ariel McDowall, Nicole S Pozzo, Charles L Raison, Ali John Zarrabi, Barbara O Rothbaum, Wilbur A Lam

引用次数: 0

Publisher Correction: Data quality in crowdsourcing and spamming behavior detection. 出版商更正：众包和垃圾邮件行为检测中的数据质量。

IF 3.9 2区心理学

Behavior Research Methods Pub Date : 2025-09-03 DOI: 10.3758/s13428-025-02804-1

Yang Ba, Michelle V Mancenido, Erin K Chiou, Rong Pan

引用次数: 0

Latent variable sequence identification for cognitive models with neural network estimators. 基于神经网络估计器的认知模型潜变量序列辨识。

IF 3.9 2区心理学

Behavior Research Methods Pub Date : 2025-08-28 DOI: 10.3758/s13428-025-02794-0

Ti-Fen Pan, Jing-Jing Li, Bill Thompson, Anne Ge Collins

{"title":"Latent variable sequence identification for cognitive models with neural network estimators.","authors":"Ti-Fen Pan, Jing-Jing Li, Bill Thompson, Anne Ge Collins","doi":"10.3758/s13428-025-02794-0","DOIUrl":"10.3758/s13428-025-02794-0","url":null,"abstract":"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 in a relatively narrow class of cognitive models. For example, a broad class of relevant cognitive models with intractable likelihood is currently out of reach of standard techniques, based on maximum a posteriori parameter estimation. Here, we present a simulation-based approach that leverages recurrent neural networks to map experimental data directly to the targeted latent variable space. We first show in simulations that our approach achieves competitive performance in inferring latent variable sequences in both likelihood-tractable and intractable models. We then demonstrate its applicability in real world datasets. Furthermore, the approach is practical to standard-size, individual data, generalizable across different computational models, and adaptable for continuous and discrete latent spaces. Our work underscores that combining recurrent neural networks and simulated data to identify model latent variable sequences broadens the scope of cognitive models researchers can explore, enabling testing a wider range of theories.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 10","pages":"272"},"PeriodicalIF":3.9,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12394392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144940641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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. 修正：揭示了汉语情感变量和词汇语义变量之间的强弱关系以及汉语双字词的字词关系。

IF 3.9 2区心理学

Behavior Research Methods Pub Date : 2025-08-27 DOI: 10.3758/s13428-025-02795-z

Xi Cheng, Chi-Shing Tse, Yuen-Lai Chan, Kai Yan Lau, Yen Na Yum

引用次数: 0

Modeling the response style in continuous bounded responses: Model development and validation. 对连续有界响应中的响应样式进行建模：模型开发和验证。

IF 3.9 2区心理学

Behavior Research Methods Pub Date : 2025-08-27 DOI: 10.3758/s13428-025-02782-4

Youxiang Jiang, Biao Zeng, Siwei Peng, Hongbo Wen

{"title":"Modeling the response style in continuous bounded responses: Model development and validation.","authors":"Youxiang Jiang, Biao Zeng, Siwei Peng, Hongbo Wen","doi":"10.3758/s13428-025-02782-4","DOIUrl":"10.3758/s13428-025-02782-4","url":null,"abstract":"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. These continuous bounded response formats include the visual analogue scale (VAS), slider bars, and probability judgments. We propose a novel item response model framework that leverages a hierarchical structure and constructs pseudo-responses. This framework enables the flexible incorporation of content traits, extreme response style (ERS), and midpoint response style (MRS), while isolating the effect of response style from observed responses. An empirical study was conducted to validate the ability of the new model to assess ERS and MRS. The results demonstrated that the model achieves a superior fit to continuous bounded response data and provides effective estimates of ERS and MRS. Furthermore, a simulation study was conducted to test the recovery of model parameters in various situations. The results demonstrated that the Markov chain Monte Carlo method can accurately estimate model parameters. In general, the trait of interest and response styles estimated by the new models demonstrate robust validity, and our models successfully mitigate the adverse effects of response styles on observed responses.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 10","pages":"271"},"PeriodicalIF":3.9,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144940666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating the potential psychological significance of the alpha parameter in the Lévy flight model of decision making: A reliability analysis approach. 基于信度分析方法的lsamvy飞行决策模型中alpha参数的潜在心理意义研究。

IF 3.9 2区心理学

Behavior Research Methods Pub Date : 2025-08-26 DOI: 10.3758/s13428-025-02784-2

Mehdi Ebrahimi Mehr, Jamal Amani Rad

{"title":"Investigating the potential psychological significance of the alpha parameter in the Lévy flight model of decision making: A reliability analysis approach.","authors":"Mehdi Ebrahimi Mehr, Jamal Amani Rad","doi":"10.3758/s13428-025-02784-2","DOIUrl":"10.3758/s13428-025-02784-2","url":null,"abstract":"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 alpha parameter, which modulates the tail of these distributions, is assessed for its test-retest reliability - an essential criterion for its classification as a cognitive style measure. Utilizing data from three previous studies, we observed that alpha demonstrates consistent reliability across tasks and time points, supporting its role as a trait-like characteristic. Our observation regarding the interrelations between LFM parameters showed that although most parameters exhibited weak correlations, reflecting their representation of distinct aspects of data, moderate correlations were observed between alpha and both threshold and non-decision time. Furthermore, investigating practice effects, we observed consistent reductions in non-decision time, threshold, and often alpha across sessions, accompanied by a corresponding increase in drift rate in demanding tasks. Notably, alpha showed a strong relationship with the mean reaction time of error responses, indicating its critical role in explaining fast error responses. Additionally, our examination of the predicted decision-time distribution found that lower alpha values correspond to shorter response times in the first quartile of both correct and error responses, highlighting its impact on capturing the dynamics of fast decision-making. Employing the BayesFlow framework for parameter estimation, we evaluated its precision across varying trial counts. These findings offer insights for future research on LFM and similar models.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 10","pages":"269"},"PeriodicalIF":3.9,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12380952/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144940679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A cognitive multiplex network approach to investigate mental navigation and predict high-level cognition. 研究心理导航和预测高级认知的认知多重网络方法。

IF 3.9 2区心理学

Behavior Research Methods Pub Date : 2025-08-25 DOI: 10.3758/s13428-025-02748-6

Ofir Ganor, Gal Samuel, Massimo Stella, Yoed N Kenett

{"title":"A cognitive multiplex network approach to investigate mental navigation and predict high-level cognition.","authors":"Ofir Ganor, Gal Samuel, Massimo Stella, Yoed N Kenett","doi":"10.3758/s13428-025-02748-6","DOIUrl":"10.3758/s13428-025-02748-6","url":null,"abstract":"High-level cognition, such as intelligence and creativity, are considered the hallmark of human cognition; however, their complexity hinders the identification of underlying common mechanisms. We focus on one such likely mechanism-mental navigation. We utilize converging computational methods to demonstrate how mental navigation-operationalized via verbal fluency tasks-predicts individual differences in creativity, intelligence, and openness to experience (the personality trait most closely related to them). Participants' (N = 479) responses to two tasks-a 2-min animal fluency task and a 2-min generating synonyms of the word \"hot\" fluency task-were modeled over a multidimensional model (a cognitive multiplex network) of the mental lexicon. Quantitative measures of their mental navigation were used to build regression models that significantly predicted their assessed high-level cognition (replicating across both fluency tasks). Finally, we developed an online tool that capitalizes on our approach-the High-level Cognitive Prediction tool. Overall, we show how converging computational tools can elucidate the complexity of high-level cognition.","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 10","pages":"268"},"PeriodicalIF":3.9,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12378698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144940661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0