71 to 80 of 3,524 Results
Jul 30, 2026 - NIE Data Repository (Harvested)
Tay, Yi-Xin, 2024, "Related Data for Thesis/Dissertation: Factors predicting sustained employment in autistic adults", https://doi.org/10.25340/R4/X3RNSB
This study explored the predictive relationship between autistic working adults’ individual characteristics (i.e., gender, age at the start of employment, highest education level attained, and presence of other mental disorders) and the length of their employment periods, with a...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Jul 30, 2026 - NIE Data Repository (Harvested)
Chan, Melvin; Lim, Regina Si Hui; Koh, Kooon Teck, 2025, "Related Data for: The 4Cs in youth sport: Investigating psychometric multidimensionality, measurement invariance and criterion-related validity", https://doi.org/10.25340/R4/X9IIKF
The 4Cs of positive youth development have been proposed as an appropriate framework for assessing athlete outcomes across various sport domains. However, the psychometric multidimensionality of the full 4C model has not been rigorously investigated. This study examined the psych...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Jul 30, 2026 - NIE Data Repository (Harvested)
Park, Joonhyeong; Teo, Tang Wee; Teo, Arnold; Chang, Jina; Huang, David Junsong; Koo, Sengmeng, 2024, "Related Data for: Integrating artificial intelligence into science lessons: Teachers’ experiences and views", https://doi.org/10.25340/R4/XA5FYR
Background In the midst of digital transformation, schools are transforming their classrooms as they prepare students for a world increasingly automated by new technologies, including artificial intelligence (AI). During curricular implementation, it has not made sense to teacher...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Jul 30, 2026 - NIE Data Repository (Harvested)
Sun, Baoqi; O'Brien, Beth A.; Nur Artika Arshad; Sun, He, 2023, "Related Data for: The contribution of intrinsic motivation and home literacy environment to Singaporean bilingual children's receptive vocabulary", https://doi.org/10.25340/R4/XAOPE5
This study examined the within- and cross-language relationships between intrinsic language learning motivation, home literacy environment (shared book reading, parental literacy involvement, and parent perceived child literacy interest), and receptive vocabulary in 185 bilingual...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Jul 30, 2026 - NIE Data Repository (Harvested)
Nah, Yong Hwee; Neo, Yi-Fang; Chen, Annabel Shen-Hsing, 2022, "Related Data for: Do labels matter? The effect of specific and generic labels on university students' openness towards autistic peers", https://doi.org/10.25340/R4/XCGPU3
Background The number of autistic students enroling into universities and completing a higher education qualification is increasing. They would have to decide whether to disclose their diagnosis in order to receive appropriate and adequate support or not to share their diagnosis...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Jul 30, 2026 - NIE Data Repository (Harvested)
Chan, Wei Teng; Bull, Rebecca; Ng, Ee Lynn; Waschl, Nicolette; Poon, Kenneth K., 2022, "Related Data for: Validation of the Child Behavior Rating Scale (CBRS) using multilevel factor analysis", https://doi.org/10.25340/R4/XDI09U
Behavioral regulation supports children to control their cognitive and emotional skills and participate fully in classroom learning and interactions. Teacher ratings are frequently used to collect data but are highly susceptible to the teacher’s response bias, meaning much child...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Jul 30, 2026 - NIE Data Repository (Harvested)
Wang, Qiyun; Wen, Yun; Quek, Choon Lang, 2022, "Related Data for: Engaging learners in synchronous online learning", https://doi.org/10.25340/R4/XEFOP2
Engagement is positively correlated with many educational outcomes. However, engaging learners in online learning is often challenging. In this study, a conceptual framework comprising five interrelated factors (instructors, learners, content, technology, and environments) was pr...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Jul 30, 2026 - NIE Data Repository (Harvested)
Zhu, Tianming, 2026, "Related Data for: Two-sample Behrens–Fisher problems for high-dimensional data: A normal reference F-type test", https://doi.org/10.25340/R4/UW0QB6
The problem of testing the equality of mean vectors for high-dimensional data has been intensively investigated in the literature. However, most of the existing tests impose strong assumptions on the underlying group covariance matrices which may not be satisfied or hardly be che...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Jul 30, 2026 - NIE Data Repository (Harvested)
Kwok, Boon Chong; Smith, Helen Elizabeth; Kong, Pui Wah, 2024, "Related Data for: Identifying the problem side with single-leg squat and hamstrings flexibility for non-specific chronic low back pain", https://doi.org/10.25340/R4/V5VNV3
Background and Objectives: In patients with non-specific chronic low back pain (LBP), their pain and problem sides can differ. Clinical Pilates assessment provides an approach to identify the problem side, but this approach requires experience and can be subjective. This study ai...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Jul 30, 2026 - NIE Data Repository (Harvested)
Farhan Ali; Tan, Amanda Swee-Ching; Wang, Serena Jun-Wei, 2024, "Related Data for: Can machine learning help accelerate article screening for systematic reviews? Yes, when article separability in embedding space is high", https://doi.org/10.25340/R4/VB85L1
Systematic reviews play important roles but manual efforts can be time-consuming given a growing literature. There is a need to use and evaluate automated strategies to accelerate systematic reviews. Here, we comprehensively tested machine learning (ML) models from classical and...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
