| # | Title | Journal | Year | Citations |
|---|
| 1 | Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives | Structural Equation Modeling | 1999 | 69,701 |
| 2 | Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance | Structural Equation Modeling | 2002 | 10,537 |
| 3 | Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study | Structural Equation Modeling | 2007 | 7,452 |
| 4 | Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance | Structural Equation Modeling | 2007 | 6,550 |
| 5 | To Parcel or Not to Parcel: Exploring the Question, Weighing the Merits | Structural Equation Modeling | 2002 | 4,859 |
| 6 | In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings | Structural Equation Modeling | 2004 | 4,501 |
| 7 | The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models | Structural Equation Modeling | 2001 | 3,334 |
| 8 | Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus | Structural Equation Modeling | 2014 | 2,024 |
| 9 | Exploratory Structural Equation Modeling | Structural Equation Modeling | 2009 | 1,840 |
| 10 | How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power | Structural Equation Modeling | 2002 | 1,525 |
| 11 | A general approach to representing multifaceted personality constructs: Application to state self‐esteem | Structural Equation Modeling | 1994 | 1,202 |
| 12 | Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes | Structural Equation Modeling | 1999 | 1,161 |
| 13 | The Effects of Item Parceling on Goodness-of-Fit and Parameter Estimate Bias in Structural Equation Modeling | Structural Equation Modeling | 2002 | 1,004 |
| 14 | On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA | Structural Equation Modeling | 2006 | 942 |
| 15 | Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models | Structural Equation Modeling | 2008 | 903 |
| 16 | Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis | Structural Equation Modeling | 2013 | 890 |
| 17 | PROC LCA: A SAS Procedure for Latent Class Analysis | Structural Equation Modeling | 2007 | 857 |
| 18 | A Primer on Maximum Likelihood Algorithms Available for Use With Missing Data | Structural Equation Modeling | 2001 | 844 |
| 19 | Effect of the Number of Variables on Measures of Fit in Structural Equation Modeling | Structural Equation Modeling | 2003 | 806 |
| 20 | Teacher's Corner: Testing Measurement Invariance of Second-Order Factor Models | Structural Equation Modeling | 2005 | 790 |
| 21 | Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching | Structural Equation Modeling | 2009 | 787 |
| 22 | Testing for Multigroup Invariance Using AMOS Graphics: A Road Less Traveled | Structural Equation Modeling | 2004 | 770 |
| 23 | Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept | Structural Equation Modeling | 2009 | 758 |
| 24 | Revisiting Sample Size and Number of Parameter Estimates: Some Support for the N:q Hypothesis | Structural Equation Modeling | 2003 | 678 |
| 25 | A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling | Structural Equation Modeling | 2010 | 650 |
| 26 | Alternative Methods for Assessing Mediation in Multilevel Data: The Advantages of Multilevel SEM | Structural Equation Modeling | 2011 | 624 |
| 27 | Performance of Bootstrapping Approaches to Model Test Statistics and Parameter Standard Error Estimation in Structural Equation Modeling | Structural Equation Modeling | 2001 | 588 |
| 28 | On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables | Structural Equation Modeling | 2006 | 534 |
| 29 | Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices | Structural Equation Modeling | 1995 | 532 |
| 30 | A Bifactor Exploratory Structural Equation Modeling Framework for the Identification of Distinct Sources of Construct-Relevant Psychometric Multidimensionality | Structural Equation Modeling | 2016 | 512 |
| 31 | Viability of exploratory factor analysis as a precursor to confirmatory factor analysis | Structural Equation Modeling | 1996 | 511 |
| 32 | Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach | Structural Equation Modeling | 2013 | 497 |
| 33 | Robustness of Stepwise Latent Class Modeling With Continuous Distal Outcomes | Structural Equation Modeling | 2016 | 481 |
| 34 | Testing Structural Equation Models or Detection of Misspecifications? | Structural Equation Modeling | 2009 | 479 |
| 35 | Simulation Study on Fit Indexes in CFA Based on Data With Slightly Distorted Simple Structure | Structural Equation Modeling | 2005 | 472 |
| 36 | The Effect of Varying Degrees of Nonnormality in Structural Equation Modeling | Structural Equation Modeling | 2005 | 470 |
| 37 | Adding Missing-Data-Relevant Variables to FIML-Based Structural Equation Models | Structural Equation Modeling | 2003 | 468 |
| 38 | MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus | Structural Equation Modeling | 2018 | 465 |
| 39 | Reporting Analyses of Covariance Structures | Structural Equation Modeling | 2000 | 459 |
| 40 | The Performance of ML, GLS, and WLS Estimation in Structural Equation Modeling Under Conditions of Misspecification and Nonnormality | Structural Equation Modeling | 2000 | 457 |
| 41 | Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters | Structural Equation Modeling | 2007 | 457 |
| 42 | What Improves with Increased Missing Data Imputations? | Structural Equation Modeling | 2008 | 454 |
| 43 | Multiple-Group Factor Analysis Alignment | Structural Equation Modeling | 2014 | 454 |
| 44 | Sampling Weights in Latent Variable Modeling | Structural Equation Modeling | 2005 | 443 |
| 45 | CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling | Structural Equation Modeling | 1996 | 439 |
| 46 | Assessing Mediation in Dyadic Data Using the Actor-Partner Interdependence Model | Structural Equation Modeling | 2011 | 433 |
| 47 | A Non-arbitrary Method of Identifying and Scaling Latent Variables in SEM and MACS Models | Structural Equation Modeling | 2006 | 418 |
| 48 | Dynamic Structural Equation Models | Structural Equation Modeling | 2018 | 389 |
| 49 | Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation | Structural Equation Modeling | 2009 | 387 |
| 50 | The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies | Structural Equation Modeling | 2017 | 376 |
