Vicente Ponsoda

Statistics and Probability · 2011

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 8 citations into it; #10,420 of 12,932 by trust here, #9,233 by citations
• Computer Networks and Communications — 6 citations into it
• Food Science — 5 citations into it; #1,118 of 1,700 by trust here, #1,332 by citations
• Management Science and Operations Research — 5 citations into it; #9,311 of 11,946 by trust here, #8,906 by citations

Whom Vicente Ponsoda 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

Who trusts Vicente Ponsoda overall

1. Catherine Samuelson
2. Elizabeth Litzler
3. Julie Lorah

Papers from Vicente Ponsoda's perspective

Ordered by how strongly the researchers Vicente Ponsoda 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. Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent preferences. (Acta Psychologica)
4. Use of Exploratory Factor Analysis in Published Research
5. Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis
6. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. (Psychological methods)
7. Accuracy of the Parallel Analysis Procedure With Polychoric Correlations
8. Parallel Analysis with Unidimensional Binary Data
9. Impact of the Number of Response Categories and Anchor Labels on Coefficient Alpha and Test-Retest Reliability
10. How many principal components? stopping rules for determining the number of non-trivial axes revisited (Computational Statistics & Data Analysis)

Their papers

• Performance of Velicer’s Minimum Average Partial Factor Retention Method With Categorical Variables (2011) — 114 citations