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Exploratory factor analysis of the Illness Intrusiveness Rating Scale for parents of children with atypical genital appearance due to differences of sex development (DSD). [PDF]
J Pediatr PsycholDeLone AM +9 more
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Comparing Accuracy of Parallel Analysis and Fit Statistics for Estimating the Number of Factors With Ordered Categorical Data in Exploratory Factor Analysis. [PDF]
Educ Psychol MeasLee H, Cham H.
europepmc +1 more source
Journal of Visual Impairment & Blindness, 2017 The exploratory factor analysis is a statistical method that is used to identify latent variables that underlie a set of a larger number of manifest variables. The term exploratory factor analysis (EFA) stems from the need to differentiate from the confirmatory factor analysis (CFA).
Stella Bollmann, Bollmann, Stella
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Advances in Developing Human Resources, 2014 The Problem Exploratory factor analysis (EFA) serves many useful purposes in human resource development (HRD) research. The most frequent applications of EFA among researchers consists of reducing relatively large sets of variables into more manageable ones, developing and refining a new instrument’s scales, and
Thomas G. Reio, Brad Shuck
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, 2018 Chapter 6 argues that exploratory factor analysis is an abductive method of theory generation that exploits a principle of scientific inference known as the principle of the common cause. Factor analysis is an important family of multivariate statistical methods that is widely used in the behavioral and social sciences.
Brian D. Haig
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