Nataly Beribisky, PhD

Nataly Beribisky, PhD

Post-Doctoral Researcher

York University

Biography

My research focuses on latent variable modeling, equivalence testing, and interpreting effect sizes. I recently completed a PhD in the Quantitative Methods Program, where I was supervised by Dr. Robert Cribbie. Contact me at nataly.beribisky@gmail.com.

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Interests
  • Structural Equation Modeling
  • Equivalence Testing
  • Effect sizes
  • Measurement Invariance
Education
  • PhD in Quantitative Methods, Psychology, 2023

    York University

  • MA in Quantitative Methods, Psychology, 2019

    York University

  • Honours BSc, Psychology, 2017

    York University

Courses

 
 
 
 
 
Quantitative Methods Workshop Series
Instructor
May 2021 – Feb 2022 Toronto

Courses

  • A Hands-On Introduction to Systematic Reviews and Meta-Analysis
 
 
 
 
 
Statistical Consulting Service
Instructor
Oct 2019 – Nov 2019 Toronto

Courses

  • An Introduction to SPSS

Recent Publications

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(2023). Comparing RMSEA-based indices for assessing measurement invariance in confirmatory factor models. Educational and Psychological Measurement.

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(2023). Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset). Journal of Open Psychology Data.

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(2023). Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modeling. British Journal of Mathematical and Statistical Psychology.

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(2023). Predictors of Externalizing Behavior Outcomes Following Pediatric Stroke. Child Neuropsychology.

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(2023). Predictors of Neurocognitive Outcome in Pediatric Ischemic and Hemorrhagic Stroke. Child Neuropsychology.

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