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Victoria V. Savalei, Ph.D. - Publications

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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43 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Chen L, Savalei V, Rhemtulla M. Pay Attention to the Ignorable Missing Data Mechanisms! An Exploration of Their Impact on the Efficiency of Regression Coefficients. Multivariate Behavioral Research. 1-26. PMID 37039444 DOI: 10.1080/00273171.2023.2193600  0.312
2023 Savalei V, Brace JC, Fouladi RT. We need to change how we compute RMSEA for nested model comparisons in structural equation modeling. Psychological Methods. PMID 36622720 DOI: 10.1037/met0000537  0.339
2022 Zhang X, Savalei V. New computations for RMSEA and CFI following FIML and TS estimation with missing data. Psychological Methods. PMID 35007107 DOI: 10.1037/met0000445  0.435
2021 Chen L, Savalei V. Three Sample Estimates of Fraction of Missing Information From Full Information Maximum Likelihood. Frontiers in Psychology. 12: 667802. PMID 34512436 DOI: 10.3389/fpsyg.2021.667802  0.404
2020 Dunn EW, Chen L, Proulx JDE, Ehrlinger J, Savalei V. Can Researchers' Personal Characteristics Shape Their Statistical Inferences? Personality & Social Psychology Bulletin. 146167220950522. PMID 32865124 DOI: 10.1177/0146167220950522  0.355
2020 Chen L, Savalei V, Rhemtulla M. Two-stage maximum likelihood approach for item-level missing data in regression. Behavior Research Methods. PMID 32333330 DOI: 10.3758/S13428-020-01355-X  0.474
2020 Savalei V. Improving Fit Indices in Structural Equation Modeling with Categorical Data. Multivariate Behavioral Research. 1-18. PMID 32054327 DOI: 10.1080/00273171.2020.1717922  0.491
2019 Zhang X, Savalei V. 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. DOI: 10.1080/10705511.2019.1642111  0.404
2018 Benjamin DJ, Berger JO, Johannesson M, Nosek BA, Wagenmakers EJ, Berk R, Bollen KA, Brembs B, Brown L, Camerer C, Cesarini D, Chambers CD, Clyde M, Cook TD, De Boeck P, ... ... Savalei V, et al. Redefine statistical significance. Nature Human Behaviour. 2: 6-10. PMID 30980045 DOI: 10.1038/S41562-017-0189-Z  0.318
2018 Savalei V. A comparison of several approaches for controlling measurement error in small samples. Psychological Methods. 24: 352-370. PMID 29781637 DOI: 10.1037/Met0000181  0.468
2018 Savalei V. On the Computation of the RMSEA and CFI from the Mean-And-Variance Corrected Test Statistic with Nonnormal Data in SEM. Multivariate Behavioral Research. 53: 419-429. PMID 29624085 DOI: 10.1080/00273171.2018.1455142  0.503
2018 Park JL, Silveira M, Elliott M, Savalei V, Johnston C. Confirmatory Factor Analysis of the Structure of Adult ADHD Symptoms Journal of Psychopathology and Behavioral Assessment. 40: 573-585. DOI: 10.1007/S10862-018-9698-Y  0.358
2017 Savalei V, Rhemtulla M. Normal Theory Two-Stage ML Estimator When Data Are Missing at the Item Level. Journal of Educational and Behavioral Statistics : a Quarterly Publication Sponsored by the American Educational Research Association and the American Statistical Association. 42: 405-431. PMID 29276371 DOI: 10.3102/1076998617694880  0.481
2017 Savalei V, Rhemtulla M. Normal Theory GLS Estimator for Missing Data: An Application to Item-Level Missing Data and a Comparison to Two-Stage ML. Frontiers in Psychology. 8: 767. PMID 28588523 DOI: 10.3389/Fpsyg.2017.00767  0.525
2016 Brace JC, Savalei V. Type I Error Rates and Power of Several Versions of Scaled Chi-Square Difference Tests in Investigations of Measurement Invariance. Psychological Methods. PMID 27893215 DOI: 10.1037/Met0000097  0.473
2016 Zhang X, Noor R, Savalei V. Examining the Effect of Reverse Worded Items on the Factor Structure of the Need for Cognition Scale. Plos One. 11: e0157795. PMID 27305001 DOI: 10.1371/Journal.Pone.0157795  0.329
2016 Rhemtulla M, Savalei V, Little TD. On the Asymptotic Relative Efficiency of Planned Missingness Designs. Psychometrika. 81: 60-89. PMID 25217133 DOI: 10.1007/S11336-014-9422-0  0.374
2016 Zhang X, Savalei V. Bootstrapping Confidence Intervals for Fit Indexes in Structural Equation Modeling Structural Equation Modeling: a Multidisciplinary Journal. 23: 392-408. DOI: 10.1080/10705511.2015.1118692  0.523
2015 Savalei V, Dunn E. Is the call to abandon p-values the red herring of the replicability crisis? Frontiers in Psychology. 6: 245. PMID 25798124 DOI: 10.3389/Fpsyg.2015.00245  0.367
2015 Chuang J, Savalei V, Falk CF. Investigation of Type I Error Rates of Three Versions of Robust Chi-Square Difference Tests Structural Equation Modeling. DOI: 10.1080/10705511.2014.938713  0.405
2014 Brosseau-Liard PE, Savalei V. Adjusting Incremental Fit Indices for Nonnormality. Multivariate Behavioral Research. 49: 460-70. PMID 26732359 DOI: 10.1080/00273171.2014.933697  0.477
2014 Savalei V, Falk CF. Recovering Substantive Factor Loadings in the Presence of Acquiescence Bias: A Comparison of Three Approaches. Multivariate Behavioral Research. 49: 407-24. PMID 26732356 DOI: 10.1080/00273171.2014.931800  0.4
2014 Savalei V, Bonett DG, Bentler PM. CFA with binary variables in small samples: a comparison of two methods. Frontiers in Psychology. 5: 1515. PMID 25709585 DOI: 10.3389/Fpsyg.2014.01515  0.682
2014 Savalei V, Falk CF. Robust Two-Stage Approach Outperforms Robust Full Information Maximum Likelihood With Incomplete Nonnormal Data Structural Equation Modeling. 21: 280-302. DOI: 10.1080/10705511.2014.882692  0.565
2014 Savalei V. Understanding Robust Corrections in Structural Equation Modeling Structural Equation Modeling. 21: 149-160. DOI: 10.1080/10705511.2013.824793  0.484
2014 Yuan KH, Savalei V. Consistency, bias and efficiency of the normal-distribution-based MLE: The role of auxiliary variables Journal of Multivariate Analysis. 124: 353-370. DOI: 10.1016/J.Jmva.2013.11.006  0.445
2013 Savalei V, Rhemtulla M. The performance of robust test statistics with categorical data British Journal of Mathematical and Statistical Psychology. 66: 201-223. PMID 22568535 DOI: 10.1111/J.2044-8317.2012.02049.X  0.548
2012 Brosseau-Liard PE, Savalei V, Li L. An Investigation of the Sample Performance of Two Nonnormality Corrections for RMSEA. Multivariate Behavioral Research. 47: 904-30. PMID 26735008 DOI: 10.1080/00273171.2012.715252  0.612
2012 Rhemtulla M, Brosseau-Liard PE, Savalei V. When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions Psychological Methods. 17: 354-373. PMID 22799625 DOI: 10.1037/A0029315  0.512
2012 Savalei V. The Relationship Between Root Mean Square Error of Approximation and Model Misspecification in Confirmatory Factor Analysis Models Educational and Psychological Measurement. 72: 910-932. DOI: 10.1177/0013164412452564  0.423
2012 Savalei V, Rhemtulla M. On Obtaining Estimates of the Fraction of Missing Information From Full Information Maximum Likelihood Structural Equation Modeling. 19: 477-494. DOI: 10.1080/10705511.2012.687669  0.46
2011 Savalei V. What to do about zero frequency cells when estimating polychoric correlations Structural Equation Modeling. 18: 253-273. DOI: 10.1080/10705511.2011.557339  0.38
2010 Biesanz JC, Falk CF, Savalei V. Assessing Mediational Models: Testing and Interval Estimation for Indirect Effects. Multivariate Behavioral Research. 45: 661-701. PMID 26735714 DOI: 10.1080/00273171.2010.498292  0.485
2010 Savalei V. Expected Versus Observed Information in SEM With Incomplete Normal and Nonnormal Data Psychological Methods. 15: 352-367. PMID 20853954 DOI: 10.1037/A0020143  0.471
2010 Savalei V. Small sample statistics for incomplete nonnormal data: Extensions of complete data formulae and a monte carlo comparison Structural Equation Modeling. 17: 241-264. DOI: 10.1080/10705511003659375  0.498
2010 Biesanz JC, Falk CF, Savalei V. Assessing mediational models: Testing and interval estimation for indirect effects Multivariate Behavioral Research. 45: 661-701. DOI: 10.1080/00273171.2010.498292  0.309
2010 Bentler PM, Savalei V. Analysis of Correlation Structures: Current Status and Open Problems Statistics in the Social Sciences: Current Methodological Developments. 1-36. DOI: 10.1002/9780470583333.ch1  0.397
2009 Savalei V, Yuan KH. On the Model-Based Bootstrap With Missing Data: Obtaining a P-Value for a Test of Exact Fit. Multivariate Behavioral Research. 44: 741-63. PMID 26801795 DOI: 10.1080/00273170903333590  0.45
2009 Savalei V, Bentler PM. A two-stage approach to missing data: Theory and application to auxiliary variables Structural Equation Modeling. 16: 477-497. DOI: 10.1080/10705510903008238  0.64
2008 Savalei V, Kolenikov S. Constrained Versus Unconstrained Estimation in Structural Equation Modeling Psychological Methods. 13: 150-170. PMID 18557683 DOI: 10.1037/1082-989X.13.2.150  0.485
2008 Savalei V. Is the ML chi-square ever robust to nonnormality? A cautionary note with missing data Structural Equation Modeling. 15: 1-22. DOI: 10.1080/10705510701758091  0.511
2006 Savalei V. Logistic approximation to the normal: The KL rationale Psychometrika. 71: 763-767. DOI: 10.1007/S11336-004-1237-Y  0.399
2005 Savalei V, Bentler PM. A statistically justified pairwise ML method for incomplete nonnormal data: A comparison with direct ML and pairwise ADF Structural Equation Modeling. 12: 183-214. DOI: 10.1207/S15328007Sem1202_1  0.655
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