Victoria V. Savalei, Ph.D.

Affiliations: 
2007 University of California, Los Angeles, Los Angeles, CA 
Area:
Personality, drug abuse, psychometrics, structural equation modeling, factor analysis, reliability theory
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"Victoria Savalei"
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Peter M. Bentler grad student 2007 UCLA
 (Studies in asymptotic robustness.)
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Publications

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Chen L, Savalei V, Rhemtulla M. (2023) Pay Attention to the Ignorable Missing Data Mechanisms! An Exploration of Their Impact on the Efficiency of Regression Coefficients. Multivariate Behavioral Research. 1-26
Savalei V, Brace JC, Fouladi RT. (2023) We need to change how we compute RMSEA for nested model comparisons in structural equation modeling. Psychological Methods
Zhang X, Savalei V. (2022) New computations for RMSEA and CFI following FIML and TS estimation with missing data. Psychological Methods
Chen L, Savalei V. (2021) Three Sample Estimates of Fraction of Missing Information From Full Information Maximum Likelihood. Frontiers in Psychology. 12: 667802
Dunn EW, Chen L, Proulx JDE, et al. (2020) Can Researchers' Personal Characteristics Shape Their Statistical Inferences? Personality & Social Psychology Bulletin. 146167220950522
Chen L, Savalei V, Rhemtulla M. (2020) Two-stage maximum likelihood approach for item-level missing data in regression. Behavior Research Methods
Savalei V. (2020) Improving Fit Indices in Structural Equation Modeling with Categorical Data. Multivariate Behavioral Research. 1-18
Zhang X, Savalei V. (2019) Examining the effect of missing data on RMSEA and CFI under normal theory full-information maximum likelihood Structural Equation Modeling: a Multidisciplinary Journal. 27: 219-239
Benjamin DJ, Berger JO, Johannesson M, et al. (2018) Redefine statistical significance. Nature Human Behaviour. 2: 6-10
Savalei V. (2018) A comparison of several approaches for controlling measurement error in small samples. Psychological Methods. 24: 352-370
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