Challenges and recommendations of exploratory and confirmatory factor analysis: A narrative review from a nursing perspective
Amir Hossein Goudarzian
Abstract
Factor analysis is a statistical method used to explore the underlying structure of a set of variables. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are two widely used methods in this domain. In recent years, new findings have emerged that shed light on the strengths and limitations of both methods. This paper discussed about new findings of EFA and CFA, challenges ahead and some necessary recommendations.
Topics & Concepts
Confirmatory factor analysisExploratory factor analysisPerspective (graphical)PsychologyExploratory analysisSet (abstract data type)NarrativeData scienceClinical psychologyPsychometricsComputer scienceStructural equation modelingStatisticsArtificial intelligenceMathematicsProgramming languageLinguisticsPhilosophyAdvanced Statistical Modeling Techniques