Dr. Yi-Jhen Wu
Main research topics
- Predictors and development of well-being for adolescents
- Social and emotional skills
- International large-scale assessments
- Test and survey construction
Office hours
by appointment
Academic background
- 2019: Ph.D. in Educational Research, University of Bamberg
- 2014: Master of Science in Measurement and Statistics, Florida State University, U.S.A
- 2010: B.A. in Financial Engineering and Actuarial Mathematics, Soochow University, Taiwan
Professional background
- Since 01/2021: Postdoctoral Researcher, Institut für Schulentwicklungsforschung, TU Dortmund
- 05/2019-12/2020: Postdoctoral Researcher, University Medical Center Göttingen
- 05/2018-10/2018: Visiting Researcher, City University of Hong Kong
Vita
Further Information
- Wu, Y. J., & Becker, M. (2023). Association between school contexts and the development of subjective well-being during adolescence: a context-sensitive longitudinal study of life satisfaction and school satisfaction. Journal of Youth and Adolescence, 52, 1039-1057. https://doi.org/10.1007/s10964-022-01727-w
- Wu, Y. -J., & Lee, J. (2022). The most salient global predictors of adolescents’ subjective well-Being: parental support, peer support, and anxiety. Child Indicators Research, 15, 1-29. https://doi.org/10.1007/s12187-022-09937-1
- Wu, Y.-J., Rauen, K., Zeldovich, M., Voormolen, D., Covic, A., Cunitz, K., Plass, A. M., Polinder, S., Haagsma, J., Zeldovich, M., & von Steinbüchel, N. (2021). Reference values and psychometric properties of the quality of life after traumatic brain injury overall scores (QOLIBRI-OS) in Italy, the Netherlands, and the United Kingdom. Value in Health, 24(9), 1319-1327. https://doi.org/10.1016/j.jval.2021.04.1282
- Hsu, C.-H., Chen Y.-H., & Wu, Y. -J. (2023) Using a Bayesian estimation to examine attribute hierarchies of the mathematics test in TIMSS 2007: A demonstration using R packages. Practical Assessment, Research, and Evaluation. https://scholarworks.umass.edu/pare/vol28/iss1/11
- Jin, K.-Y., Wu, Y.-J., & Chen, H.-F. (2022). A new multiprocess IRT model with ideal points for Likert-Type Items. Journal of Educational and Behavioral Statistics, 47(3), 297–321. https://doi.org/10.3102/10769986211057160
- Deutschmann, G., Becker, M., & Wu, Y.-J. (2022). Effekte des sozioökonomischen Hintergrunds, kognitiver Fähigkeiten und Bildung auf späteren sozioökonomischen Erfolg: Eine Untersuchung schulzeitlicher Prädiktoren auf die berufliche Entwicklung [Effects of socioeconomic background, cognitive ability, and education on later socioeconomic success: An examination of school-related predictors of career development]. Paper presented at the Society for Empirical Educational Research Meeting (GEBF), 2022, Virtual
- Setinhaeuser, F., Becker, M., & Wu, Y.-J. (2022). Schulische Kontexteffekte und politische Sozialisation von Kindern und Jugendlichen [School context effects and political socialization among children and adolescents]. Paper presented at the Society for Empirical Educational Research Meeting (GEBF), 2022, Virtual
- Wu, Y.-J., & Becker, M. (2022). The impact of tracking on the development of well-being during secondary education. Symposium at the Society for Empirical Educational Research Meeting (GEBF), 2022, Virtual
- Wu, Y.-J., Wu, Y.-J., Chen, C.-W., & Sun, R. (2021). Social support and social connectedness to well-being during the COVID-19 pandemic across cultures. Paper presented at the 32nd International Congress of Psychology, Virtual
- Lee, J. & Wu, Y.-J. (2020). Students’ well-being: cross-national examination based on PISA 2015 data. Paper presented at the Australian Conference on Personality and Individual Differences, Brisbane, Australia