Soon Young Park,Kenneth Holmqvist,Diederick C Niehorster et al.
Soon Young Park et al.
Pupil-corneal reflection (P-CR) eye tracking has gained a prominent role in studying dog visual cognition, despite methodological challenges that often lead to lower-quality data than when recording from humans. In the current study, we inv...
The validity of LENA technology for assessing the linguistic environment and interactions of infants learning Hebrew and Arabic [0.03%]
LENA技术评估学习希伯来语和阿拉伯语婴儿的语言环境和互动的有效性
Bonnie Levin-Asher,Osnat Segal,Liat Kishon-Rabin
Bonnie Levin-Asher
The present study assessed LENA's suitability as a tool for monitoring future language interventions by evaluating its reliability, construct validity, and criterion validity in infants learning Hebrew and Arabic, across low and high levels...
Yongqiang Su,Yixun Li,Hong Li
Yongqiang Su
The present work collected familiarity norms for 20,275 two-character, 1231 three-character, and 2819 four-character simplified Chinese words from 1300 native speakers of Mandarin Chinese. The familiarity of each word was rated on a 7-point...
Which method is more powerful in testing the relationship of theoretical constructs? A meta comparison of structural equation modeling and path analysis with weighted composites [0.03%]
结构方程模型和路径分析在检验理论构念间关系上的比较研究：哪一个方法更有效？
Lifang Deng,Ke-Hai Yuan
Lifang Deng
Structural equation modeling (SEM) has been deemed as a proper method when variables contain measurement errors. In contrast, path analysis with composite scores is preferred for prediction and diagnosis of individuals. While path analysis ...
A machine learning-based procedure for leveraging clickstream data to investigate early predictability of failure on interactive tasks [0.03%]
一种基于机器学习的程序：利用点击流数据调查交互式任务中失败的早期可预测性
Esther Ulitzsch,Vincent Ulitzsch,Qiwei He et al.
Esther Ulitzsch et al.
Early detection of risk of failure on interactive tasks comes with great potential for better understanding how examinees differ in their initial behavior as well as for adaptively tailoring interactive tasks to examinees' competence levels...
Deep-SAGA: a deep-learning-based system for automatic gaze annotation from eye-tracking data [0.03%]
基于深度学习的眼动数据自动注视点标注系统
Oliver Deane,Eszter Toth,Sang-Hoon Yeo
Oliver Deane
With continued advancements in portable eye-tracker technology liberating experimenters from the restraints of artificial laboratory designs, research can now collect gaze data from real-world, natural navigation. However, the field lacks a...
Does that sound right? A novel method of evaluating models of reading aloud : Rating nonword pronunciations [0.03%]
这项研究听起来靠谱吗？一种评估朗读模型的新方法：对非词发音的评分
Michele Gubian,Ryan Blything,Colin J Davis et al.
Michele Gubian et al.
Nonword pronunciation is a critical challenge for models of reading aloud but little attention has been given to identifying the best method for assessing model predictions. The most typical approach involves comparing the model's pronuncia...
Same same, but different: A psychometric examination of three frequently used experimental tasks for cognitive bias assessment in a sample of healthy young adults [0.03%]
同中有异：从心理计量学角度考察认知偏差评估中的三种常用实验任务——一项针对健康年轻人的实证研究
Alla Machulska,Kristian Kleinke,Tim Klucken
Alla Machulska
Cognitive bias research draws upon the notion that altered information processing is key for understanding psychological functioning and well-being. However, little attention has been paid to the question of whether the frequently used expe...
The project implicit international dataset: Measuring implicit and explicit social group attitudes and stereotypes across 34 countries (2009-2019) [0.03%]
国际价值观调查：度量国际上隐含和社会群体态度及刻板印象（2009-2019）
Tessa E S Charlesworth,Mayan Navon,Yoav Rabinovich et al.
Tessa E S Charlesworth et al.
For decades, researchers across the social sciences have sought to document and explain the worldwide variation in social group attitudes (evaluative representations, e.g., young-good/old-bad) and stereotypes (attribute representations, e.g...
Briony Banks,Louise Connell
Briony Banks
We present a database of category production (aka semantic fluency) norms collected in the UK for 117 categories (67 concrete and 50 abstract). Participants verbally named as many category members as possible within 60 seconds, resulting in...