L. E. Garrido

Statistics and Probability · 2011–2018

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 17 citations into it; #10,436 of 12,932 by trust here, #9,233 by citations
• Experimental and Cognitive Psychology — 13 citations into it
• Computer Networks and Communications — 11 citations into it
• Food Science — 11 citations into it; #1,121 of 1,700 by trust here, #1,332 by citations
• Management Science and Operations Research — 10 citations into it; #9,328 of 11,946 by trust here, #8,906 by citations
• Statistical and Nonlinear Physics — 6 citations into it
• Artificial Intelligence — 5 citations into it
• Cognitive Neuroscience — 5 citations into it

Whom L. E. Garrido trusts overall

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

1. Li-Jen Weng
2. Brian O'Connor
3. R. Henson
4. David B. Flora
5. James C. Hayton
6. Wayne F. Velicer
7. P. Peres‐Neto
8. Sacha Epskamp
9. P. Curran
10. J. K. Roberts

Who trusts L. E. Garrido overall

1. Elizabeth Litzler
2. Hudson F. Golino
3. Catherine Samuelson

Papers from L. E. Garrido's perspective

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

1. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test (Behavoir research methods, instruments & computers)
2. Construct Explication through Factor or Component Analysis: A Review and Evaluation of Alternative Procedures for Determining the Number of Factors or Components
3. Regression Shrinkage and Selection via the Lasso
4. R: A language and environment for statistical computing.
5. Very Simple Structure: An Alternative Procedure For Estimating The Optimal Number Of Interpretable Factors.
6. Extended Bayesian Information Criteria for Gaussian Graphical Models (Neural Information Processing Systems)
7. Extended Bayesian information criteria for model selection with large model spaces
8. lavaan: An R Package for Structural Equation Modeling
9. Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis
10. Use of Exploratory Factor Analysis in Published Research

Their papers

• Investigating the performance of Exploratory Graph analysis and traditional techniques to identify the number of latent factors: a simulation and tutorial (2018) — 429 citations
• Performance of Velicer’s Minimum Average Partial Factor Retention Method With Categorical Variables (2011) — 114 citations