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Zhen Li

Researcher at University of British Columbia

Publications -  7
Citations -  825

Zhen Li is an academic researcher from University of British Columbia. The author has contributed to research in topics: Differential item functioning & Transformational leadership. The author has an hindex of 6, co-authored 7 publications receiving 757 citations.

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Decoding the Meaning of Factorial Invariance and Updating the Practice of Multi-group Confirmatory Factor Analysis: A Demonstration With TIMSS Data

TL;DR: The paper began by describing what is MI (and lack of MI) and how the concept can be realized in the context of factor analysis, and explained the need for modeling the mean and covariance structure (MACS), instead of the traditionally applied covarianceructure, in detecting factorial invariance.
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Do School Bullying and Student—Teacher Relationships Matter for Academic Achievement? A Multilevel Analysis

TL;DR: The authors examined the relationship between school bullying, student-teacher (S-T) connectedness, and academic performance and found that there was a significant interaction between bullying and S-T connectedness.
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Development and Psychometric Properties of the Transformational Teaching Questionnaire

TL;DR: This work utilized established instrument development procedures, involving teachers, students, and experts in transformational leadership theory to ensure that items exhibited sound content validity, and were developmentally appropriate, in developing a reliable and valid measure of transformational teaching.
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Investigating the comparability of a self-report measure of childhood bullying across countries

TL;DR: The authors examined the comparability of children's self-reports of bullying across five countries, including Australia, Canada, Japan, Korea, and United States, using multigroup confirmatory factor analysis and item response theory modeling.
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Impact of Differential Item Functioning on Subsequent Statistical Conclusions Based on Observed Test Score Data

TL;DR: In this paper, the authors investigated the impact of differential item functioning (DIF) on the Type I error rate and effect size of the independent samples ttest on the observed total test scores and found that the amplification and cancellation effects among uniform DIF items did transfer to test level.