Matthew Courtney

Statistics and Probability · 2013

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Matthew Courtney trusts overall

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

  1. Brian O'Connor
  2. William Revelle
  3. David B. Flora
  4. Rubén Daniel Ledesma
  5. James C. Hayton
  6. P. Curran
  7. David G. Allen
  8. Vida Scarpello
  9. Jesus Tanguma

Who trusts Matthew Courtney overall

  1. James Baglin

Papers from Matthew Courtney's perspective

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

  1. Very Simple Structure: An Alternative Procedure For Estimating The Optimal Number Of Interpretable Factors.
  2. Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis
  3. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. (Psychological methods)
  4. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test (Behavoir research methods, instruments & computers)
  5. Determining the Number of Factors to Retain in EFA: An easy-to-use computer program for carrying out Parallel Analysis
  6. R: A language and environment for statistical computing.
  7. On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha (Psychometrika)
  8. Cronbach’s α, Revelle’s β, and Mcdonald’s ωH: their relations with each other and two alternative conceptualizations of reliability
  9. Construct Explication through Factor or Component Analysis: A Review and Evaluation of Alternative Procedures for Determining the Number of Factors or Components
  10. Parallel Analysis with Unidimensional Binary Data

Their papers