Myeongsun Yoon

Management Science and Operations Research · 2007–2018

A researcher in the Science corpus: 6 papers; trusts 37 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 43 citations into it; #8,065 of 11,946 by trust here, #6,563 by citations
• Computer Networks and Communications — 27 citations into it; #6,730 of 9,886 by trust here, #7,140 by citations
• Statistics and Probability — 17 citations into it; #3,191 of 12,932 by trust here, #4,650 by citations
• Food Science — 13 citations into it
• Applied Psychology — 11 citations into it
• Organizational Behavior and Human Resource Management — 6 citations into it
• Social Psychology — 5 citations into it

Whom Myeongsun Yoon trusts overall

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

1. R. Millsap
2. Adam W. Meade
3. Robert J. Vandenberg
4. B. Muthén
5. F. Chen
6. Holmes Finch
7. Gordon W. Cheung
8. Brian French
9. G. Lautenschlager
10. Timothy A. Brown

Who trusts Myeongsun Yoon overall

1. E. S. Kim
2. D. Dimitrov
3. Eunju Jung
4. Gordon W. Cheung
5. Tenko Raykov
6. Oi-man Kwok
7. Rebecca S. Lau
8. M. H. Lai
9. George A. Marcoulides
10. Taehun Lee

Papers from Myeongsun Yoon's perspective

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

1. A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research
2. Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
3. Confirmatory Factor Analysis for Applied Research
4. A Monte-Carlo Study of Confirmatory Factor Analytic Tests of Measurement Equivalence/Invariance
5. A Comparison of Item Response Theory and Confirmatory Factor Analytic Methodologies for Establishing Measurement Equivalence/Invariance
6. Latent Variable Analysis With Categorical Outcomes : Multiple-Group And Growth Modeling In Mplus
7. Sufficient Sample Sizes for Multilevel Modeling
8. On the Comparability of Constructs in Cross-Cultural Research
9. Measurement invariance: Review of practice and implications
10. BEYOND SEM: GENERAL LATENT VARIABLE MODELING

Their papers

• Detecting Violations of Factorial Invariance Using Data-Based Specification Searches: A Monte Carlo Study (2007) — 207 citations
• Testing Measurement Invariance: A Comparison of Multiple-Group Categorical CFA and IRT (2011) — 235 citations
• Testing Factorial Invariance in Multilevel Data: A Monte Carlo Study (2012) — 64 citations
• Testing Factorial Invariance With Unbalanced Samples (2018) — 211 citations
• Comparisons of Three Empirical Methods for Partial Factorial Invariance: Forward, Backward, and Factor-Ratio Tests (2016) — 65 citations
• Testing Measurement Invariance Using MIMIC (2012) — 83 citations