Xijuan Zhang

Assistant Professor

York University

Canada

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About

Dr. Xijuan Zhang is an Assistant Professor at York University in Canada. Her research interests encompass psychometrics, structural model fit evaluation, and the implications of missing data in statistical analysis. She has contributed to the field through various publications exploring topics such as the Central Limit Theorem, alternative formats to the Likert scale, and methods for generating missing data for simulation studies.

Articles (7)

Year:

2024

Year:

2024

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2023

Year:

2023

Year:

2023

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2022

Year:

2020

Collaborators (2)

Oscar Lorenzo Olvera Astivia

Assistant Professor

University of Washington

UNITED STATES

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Bruno Zumbo

Distinguished University Scholar & Professor

The University of British Columbia

CANADA

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Xijuan Zhang

Research Interests

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Articles (7)

Investigating Structural Model Fit Evaluation

An overview of alternative formats to the Likert format: A comment on Wilson et al. (2022).

Comparing the Psychometric Properties of a Scale Across Three Likert and Three Alternative Formats: An Application to the Rosenberg Self-Esteem Scale

New Computations for RMSEA and CFI Following FIML and TS Estimation With Missing Data

How to Generate Missing Data For Simulation Studies

How to think clearly about the central limit theorem.

Examining the effect of missing data on RMSEA and CFI under normal theory full-information maximum likelihood

Collaborators (2)

Oscar Lorenzo Olvera Astivia

Bruno Zumbo

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