Year |
Citation |
Score |
2024 |
Folk D, Savalei V. Examining the performance of the chi-square difference test when the unrestricted model is slightly misspecified. Behavior Research Methods. PMID 38565742 DOI: 10.3758/s13428-024-02384-6 |
0.324 |
|
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 |
0.434 |
|
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 |
0.467 |
|
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 |
0.476 |
|
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 |
0.609 |
|
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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