F
Frans J. Oort
Researcher at University of Amsterdam
Publications - 203
Citations - 12106
Frans J. Oort is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Measurement invariance & Actigraphy. The author has an hindex of 48, co-authored 198 publications receiving 10273 citations.
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The Influence of Affective Teacher–Student Relationships on Students’ School Engagement and Achievement A Meta-Analytic Approach
TL;DR: In this article, a meta-analytic approach was used to investigate the associations between affective qualities of teacher-student relationships (TSRs) and students' school engagement and achievement, based on 99 studies, including students from preschool to high school.
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The influence of sleep quality, sleep duration and sleepiness on school performance in children and adolescents: A meta-analytic review
TL;DR: The relationships between sleep quality, sleep duration, sleepiness and school performance were examined in three separate meta-analyses including influential factors (e.g., gender, age, parameter assessment) as moderators to gain insight into the different relationships.
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How to Improve Teaching Practices: The Role of Teacher Motivation, Organizational Factors, and Leadership Practices
TL;DR: This paper found that building schoolwide capacity for teacher learning will improve teaching practices, however, there is little systematic evidence to support this claim, and this study aimed to find the evidence for this claim.
Journal Article
Stress, satisfaction and burnout among Dutch medical specialists
TL;DR: A protective effect of job satisfaction against the negative consequences of work stress as well as the importance of organizational rather than personal factors in managing both stress and satisfaction are shown.
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Predicting and preventing physician burnout: results from the United States and the Netherlands.
Mark Linzer,Mechteld R. M. Visser,Frans J. Oort,Ellen M. A. Smets,Julia E. McMurray,Julia E. McMurray,Hanneke C. J. M. de Haes +6 more
TL;DR: To better understand the interplay of the predictors of physician burnout and to develop strategies for prevention, data from two large physician surveys were compared and data were used to construct and test a predictive model of burnout.