Grant B. Morgan

Statistics and Probability · 2010–2015

A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 23 citations into it; #3,411 of 12,932 by trust here, #5,661 by citations
• Management Science and Operations Research — 16 citations into it; #3,046 of 11,946 by trust here, #5,092 by citations
• Computer Networks and Communications — 9 citations into it
• Experimental and Cognitive Psychology — 8 citations into it; #7,562 of 9,731 by trust here, #8,015 by citations
• Food Science — 8 citations into it
• Social Psychology — 6 citations into it

Whom Grant B. Morgan trusts overall

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

1. Chih-Chien Yang
2. Q. Vuong
3. David B. Flora
4. S. Reise
5. Kenneth A. Bollen
6. C. Distefano
7. Yungtai Lo
8. K. Nylund
9. P. Curran
10. Cora J. M. Maas

Who trusts Grant B. Morgan overall

1. Sarah Ferguson
2. Gilles E. Gignac
3. Dexin Shi
4. Albert Maydeu-Olivares
5. E. W. G. Moore
6. C. Distefano
7. D. Hull
8. P. Sinha
9. Yves Rosseel

Papers from Grant B. Morgan's perspective

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

1. Estimating the Dimension of a Model
2. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. (Psychological methods)
3. Item factor analysis: current approaches and future directions. (Psychological methods)
4. Testing the number of components in a normal mixture
5. The Impact of Categorization With Confirmatory Factor Analysis
6. Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
7. On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA
8. Sufficient Sample Sizes for Multilevel Modeling
9. Evaluating latent class analysis models in qualitative phenotype identification (Computational Statistics & Data Analysis)
10. The Performance of ML, GLS, and WLS Estimation in Structural Equation Modeling Under Conditions of Misspecification and Nonnormality

Their papers

• A Comparison of Diagonal Weighted Least Squares Robust Estimation Techniques for Ordinal Data (2014) — 627 citations
• Are Fit Indices Biased in Favor of Bi-Factor Models in Cognitive Ability Research?: A Comparison of Fit in Correlated Factors, Higher-Order, and Bi-Factor Models via Monte Carlo Simulations (2015) — 168 citations
• Mixed Mode Latent Class Analysis: An Examination of Fit Index Performance for Classification (2015) — 181 citations
• The Impact of Small Cluster Size on Multilevel Models: A Monte Carlo Examination of Two-Level Models with Binary and Continuous Predictors (2010) — 150 citations
• Dancing the Sample Size Limbo with Mixed Models: How Low Can You Go? (2010) — 72 citations