Redefine statistical significance DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ... Nature human behaviour 2 (1), 6-10, 2018 | 2197 | 2018 |

When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. M Rhemtulla, PÉ Brosseau-Liard, V Savalei Psychological methods 17 (3), 354, 2012 | 1987 | 2012 |

Assessing mediational models: Testing and interval estimation for indirect effects JC Biesanz, CF Falk, V Savalei Multivariate Behavioral Research 45 (4), 661-701, 2010 | 344 | 2010 |

Structural equation modeling V Savalei, PM Bentler The handbook of marketing research: Uses, misuses, and future advances 330, 36, 2006 | 250 | 2006 |

Package ‘lavaan’ Y Rosseel, D Oberski, J Byrnes, L Vanbrabant, V Savalei, E Merkle, ... Retrieved June 17 (1), 2017 | 233 | 2017 |

The political color line in America: Many “peoples of color” or Black exceptionalism? DO Sears, V Savalei Political Psychology 27 (6), 895-924, 2006 | 221 | 2006 |

An investigation of the sample performance of two nonnormality corrections for RMSEA PE Brosseau-Liard, V Savalei, L Li Multivariate behavioral research 47 (6), 904-930, 2012 | 199 | 2012 |

Examining the effect of reverse worded items on the factor structure of the need for cognition scale X Zhang, R Noor, V Savalei PloS one 11 (6), e0157795, 2016 | 191 | 2016 |

lavaan: Latent variable analysis Y Rosseel, DL Oberski, J Byrnes, L Vanbrabant, V Savalei, E Merkle, ... | 184 | 2014 |

Adjusting incremental fit indices for nonnormality PE Brosseau-Liard, V Savalei Multivariate Behavioral Research 49 (5), 460-470, 2014 | 175 | 2014 |

Shame and the motivation to change the self. B Lickel, K Kushlev, V Savalei, S Matta, T Schmader Emotion 14 (6), 1049, 2014 | 166 | 2014 |

Understanding robust corrections in structural equation modeling V Savalei Structural Equation Modeling: A Multidisciplinary Journal 21 (1), 149-160, 2014 | 148 | 2014 |

The performance of robust test statistics with categorical data V Savalei, M Rhemtulla British Journal of Mathematical and Statistical Psychology 66 (2), 201-223, 2013 | 135 | 2013 |

A statistically justified pairwise ML method for incomplete nonnormal data: A comparison with direct ML and pairwise ADF V Savalei, PM Bentler Structural Equation Modeling 12 (2), 183-214, 2005 | 113 | 2005 |

A two-stage approach to missing data: Theory and application to auxiliary variables V Savalei, PM Bentler Structural Equation Modeling: A Multidisciplinary Journal 16 (3), 477-497, 2009 | 110 | 2009 |

Constrained versus unconstrained estimation in structural equation modeling. V Savalei, S Kolenikov Psychological methods 13 (2), 150, 2008 | 109 | 2008 |

Is the ML chi-square ever robust to nonnormality? A cautionary note with missing data V Savalei Structural Equation Modeling: A Multidisciplinary Journal 15 (1), 1-22, 2008 | 106 | 2008 |

The relationship between root mean square error of approximation and model misspecification in confirmatory factor analysis models V Savalei Educational and Psychological Measurement 72 (6), 910-932, 2012 | 103 | 2012 |

The relationship between unstandardized and standardized alpha, true reliability, and the underlying measurement model CF Falk, V Savalei Journal of personality assessment 93 (5), 445-453, 2011 | 103 | 2011 |

Small sample statistics for incomplete nonnormal data: Extensions of complete data formulae and a Monte Carlo comparison V Savalei Structural Equation Modeling 17 (2), 241-264, 2010 | 97 | 2010 |