Determining the Number of Factors to Retain in EFA: An easy-to-use computer program for carrying out Parallel Analysis

By Rubén Daniel Ledesma, Pedro M. Valero-Mora. 2007

813 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/01bbd00e62069a0d8f86316b859e874afb931e8e

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In Computer Networks and Communications

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

From safety culture to safety orientation: Validation and simplification of a safety orientation scale using a sample of seafarers working for Norwegian ship owners (2009, background): “Attitude to safety/ ManagementCommitment Mearns et al. (2000) 8 items 6 items 6 items 5 items 4 items 8 items a .”
Spatiotemporal filtering for regional GPS network in China using independent component analysis (2017, methodology): “If the test is significant, then parallel analysis (PA) can be used to test the significance of the remaining PCs (Peres-Neto et al. 2005; Ledesma and Valero-mora 2007).”
Measuring Teacher Engagement: Development of the Engaged Teachers Scale (ETS) (2013, methodology): “Although the eigenvalues > 1.0 rule and screen test are commonly used methods for determining number of factors, both are criticised for lack of reliability (e.g., Ledesma & Valero-Mora, 2007; Velicer & Jackson, 1990).”
Foreign direct investment, institutional quality, economic freedom and entrepreneurship in emerging markets (2014, neutral): “example Lucas (1978), Acs et al.”
Social vulnerability indices: a comparative assessment using uncertainty and sensitivity analysis (2012, background): “Parallel analysis is now considered by statisticians to be a superior alternative for determination of the optimal number of factors (Ledesma and Valero-Mora 2007).”
Validity of Three School Climate Scales to Assess Bullying, Aggressive Attitudes, and Help Seeking (2009, methodology): “…(h) the final solution should be compatible with theoretical postulates; and (i) the resultant factor solution should be consistent with parallel analysis (Horn, 1965), often cited as the most accurate method for determining the number of factors to retain (Ledesma & Valero-Mora, 2007).”
Using Horn's Parallel Analysis Method in Exploratory Factor Analysis for Determining the Number of Factors (2016, methodology): “When the method is employed, the number of factors where the eigenvalue in the simulative sample is higher than that of the actual data is considered significant (Ledesma & Mora, 2007).”
Determining the Number of Factors to Retain in EFA: Using the SPSS R-Menu v2 0 to Make More Judicious Estimations (2013, methodology): “8 Page 9 Published by ScholarWorks@UMass Amherst, 2013 Practical Assessment, Research & Evaluation, Vol 18, No 8 Page 10 Courtney; EFA Factors using SPSS & R Figure 8: CD Factor Number Output https://scholarworks.umass.edu/pare/vol18/iss1/8 DOI: https://doi.org/10.7275/9cf5-2m72 Practical Assessment”
Establishing Evidence for Internal Structure Using Exploratory Factor Analysis (2017, background): “Third, underextraction and overextraction of factors could potentially alter an overall factor solution and its interpretation (Ledesma & Valero-Mora, 2007).”
Exploratory Factor Analysis ; Concepts and Theory (2014, methodology): “Both types of misspecifications have been empirically demonstrated to lead to poor factor-loading pattern reproduction and interpretation (Velicer, Eaton et al. 2000; Hayton, Allen et al. 2004) and also they will effect on EFA efficiency and meaning (Ledesma and Valero-Mora 2007).”