Dexin Shi

Management Science and Operations Research · 2017–2020

A researcher in the Science corpus: 10 papers; trusts 55 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 103 citations into it; #8,760 of 11,946 by trust here, #4,602 by citations
• Statistics and Probability — 66 citations into it
• Computer Networks and Communications — 34 citations into it; #7,737 of 9,886 by trust here, #5,518 by citations
• Experimental and Cognitive Psychology — 19 citations into it; #7,617 of 9,731 by trust here, #8,015 by citations
• Applied Psychology — 14 citations into it
• Food Science — 9 citations into it
• Economics and Econometrics — 8 citations into it
• Artificial Intelligence — 7 citations into it

Whom Dexin Shi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yves Rosseel
2. Albert Maydeu-Olivares
3. Victoria Savalei
4. Morten Moshagen
5. Kenneth A. Bollen
6. D. Bandalos
7. David A. Kenny
8. C. Distefano
9. G. R. Hancock
10. W. Herzog

Who trusts Dexin Shi overall

1. Albert Maydeu-Olivares
2. Chuanji Gao
3. R. van de Schoot

Papers from Dexin Shi's perspective

Ordered by how strongly the researchers Dexin Shi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
2. Effect of the Number of Variables on Measures of Fit in Structural Equation Modeling
3. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. (Psychological methods)
4. The Impact of Categorization With Confirmatory Factor Analysis
5. Sensitivity of Fit Indices to Model Misspecification and Model Types
6. Sensitivity of Fit Indexes to Misspecified Structural or Measurement Model Components: Rationale of Two-Index Strategy Revisited
7. Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation
8. On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA
9. lavaan: An R Package for Structural Equation Modeling
10. Performance of Modified Test Statistics in Covariance and Correlation Structure Analysis Under Conditions of Multivariate Nonnormality

Their papers

• Examining Chi-Square Test Statistics Under Conditions of Large Model Size and Ordinal Data (2018) — 81 citations
• Assessing Fit in Structural Equation Models: A Monte-Carlo Evaluation of RMSEA Versus SRMR Confidence Intervals and Tests of Close Fit (2018) — 177 citations
• Estimating the Maximum Likelihood Root Mean Square Error of Approximation (RMSEA) with Non-normal Data: A Monte-Carlo Study (2020) — 66 citations
• Chi-square Difference Tests for Comparing Nested Models: An Evaluation with Non-normal Data (2020) — 59 citations
• Assessing Fit in Ordinal Factor Analysis Models: SRMR vs. RMSEA (2020) — 336 citations
• Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal Effects in Linear Regression Models (2019) — 69 citations
• Understanding the Model Size Effect on SEM Fit Indices (2018) — 759 citations
• Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness? (2018) — 336 citations
• Revisiting the Model Size Effect in Structural Equation Modeling (2018) — 66 citations
• Effect Sizes of Model Misfit in Structural Equation Models: Standardized Residual Covariances and Residual Correlations (2017) — 47 citations