Urbano Lorenzo-Seva

Statistics and Probability · 2003–2021

A researcher in the Science corpus: 13 papers; trusts 32 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 28 citations into it; #3,687 of 12,932 by trust here, #5,126 by citations
• Management Science and Operations Research — 25 citations into it; #1,705 of 11,946 by trust here, #1,613 by citations
• Computer Networks and Communications — 22 citations into it; #9,719 of 9,886 by trust here, #3,005 by citations
• Social Psychology — 17 citations into it
• Experimental and Cognitive Psychology — 10 citations into it; #2,926 of 9,731 by trust here, #3,857 by citations
• Food Science — 9 citations into it; #100 of 1,700 by trust here, #356 by citations
• Artificial Intelligence — 6 citations into it
• Sociology and Political Science — 6 citations into it

Whom Urbano Lorenzo-Seva trusts overall

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

1. Marieke E. Timmerman
2. Holmes Finch
3. J. F. Berge
4. Jeffrey H. Kahn
5. Hanna Eklöf
6. Kenneth A. Bollen
7. Alexander Shapiro
8. Joseph L. Schafer
9. Theodore W. Anderson
10. Michael W. Browne

Who trusts Urbano Lorenzo-Seva overall

1. James Baglin
2. Thomas Franke
3. Rosario Del Rey
4. Morten Moshagen
5. Pere J. Ferrando
6. Josef F. Krems
7. W. D. Linden
8. Joost R. Van Ginkel
9. Ernest Mas-Herrero
10. E. Herrmann

Papers from Urbano Lorenzo-Seva's perspective

Ordered by how strongly the researchers Urbano Lorenzo-Seva trusts endorse each paper. Same corpus, a different order for every researcher.

1. INFERENCE AND MISSING DATA
2. Estimating the Dimension of a Model
3. Modern factor analysis
4. Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis
5. Construct Explication through Factor or Component Analysis: A Review and Evaluation of Alternative Procedures for Determining the Number of Factors or Components
6. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test (Behavoir research methods, instruments & computers)
7. Development and Validation of Scores From an Instrument Measuring Student Test-Taking Motivation
8. Use of Exploratory Factor Analysis in Published Research
9. The greatest lower bound to the reliability of a test and the hypothesis of unidimensionality
10. Missing data: our view of the state of the art. (Psychological methods)

Their papers

• FACTOR: A computer program to fit the exploratory factor analysis model (2006) — 1,234 citations
• A factor simplicity index (2003) — 107 citations
• Dimensionality assessment of ordered polytomous items with parallel analysis. (2011) — 1,424 citations
• An Item Response Theory Model for Incorporating Response Time Data in Binary Personality Items (2007) — 82 citations
• Tucker's congruence coefficient as a meaningful index of factor similarity. (2006) — 1,138 citations
• Not Positive Definite Correlation Matrices in Exploratory Item Factor Analysis: Causes, Consequences and a Proposed Solution (2021) — 89 citations
• Robust Promin: A method for diagonally weighted factor rotation (2019) — 221 citations
• A note on improving EAP trait estimation in oblique factor - analytic and item response theory models (2016) — 102 citations
• Multiple Imputation of missing values in exploratory factor analysis of multidimensional scales : estimating latent trait scores (2016) — 94 citations
• How to report the percentage of explained common variance in exploratory factor analysis (2013) — 73 citations
• Individual Differences in Music Reward Experiences (2013) — 346 citations
• FACTOR 9.2 (2013) — 301 citations
• The Hull Method for Selecting the Number of Common Factors (2011) — 493 citations