Results 21 to 30 of about 4,364,005 (268)

Exploratory Factor Analysis

open access: yes, 2016
As described in Chap. 10, factor analysis (FA) is classified into exploratory FA (EFA) and confirmatory FA (CFA). EFA refers to the procedures for exploring factors underlying observed variables for cases without prior knowledge of what factors explain the variables. EFA is introduced in this chapter.
  +6 more sources

Essential consultants’ skills and attitudes (Willing CONSULT): a cross-sectional survey

open access: yesBMC Medical Education, 2021
Background Despite multi-professional collaboration via consultation being increasingly important given the variety of disease diagnoses and treatment, the key elements as consultants remain unclear.
Takahiro Matsuo   +3 more
doaj   +1 more source

Using Fit Statistic Differences to Determine the Optimal Number of Factors to Retain in an Exploratory Factor Analysis

open access: yesEducational and Psychological Measurement, 2020
Exploratory factor analysis (EFA) is widely used by researchers in the social sciences to characterize the latent structure underlying a set of observed indicator variables.
W. H. Finch
semanticscholar   +1 more source

Detecting Correlated Residuals in Exploratory Factor Analysis: New Proposals and a Comparison of Procedures

open access: yesStructural Equation Modeling: A Multidisciplinary Journal, 2022
In the classical exploratory factor analysis (EFA) model, residuals are constrained to be uncorrelated. However, since the 1960s, extensions of the classical model that allow correlated residuals to be modeled exist. Furthermore, in many EFA applications
P. J. Ferrando   +2 more
semanticscholar   +1 more source

Robust Promin: a method for diagonally weighted factor rotation

open access: yesLiberabit, 2019
Oblique rotation of factors is usually performed in exploratory factor analysis in order to achieve the best and simplest interpretation of the solution based on the prescribed number of factors.
Urbano Lorenzo-Seva, Pere J. Ferrando
doaj   +1 more source

EFAtools: An R package with fast and flexible implementations of exploratory factor analysis tools

open access: yesJournal of Open Source Software, 2020
In the social sciences, factor analysis is a widely used tool to identify latent constructs underlying task performance or the answers to questionnaire items.
Markus D. Steiner, Silvia Grieder
semanticscholar   +1 more source

Adaptación de la Escala de Satisfacción Académica en Estudiantes Universitarios Chilenos

open access: yesPsicología Educativa: Revista de los Psicólogos de la Educación, 2018
El análisis de la satisfacción académica constituye un aspecto clave para explicar la calidad del aprendizaje. Para medir el constructo, actualmente se dispone de la Escala de Satisfacción Académica (ESA), instrumento de medida basado en la perspectiva ...
Jorge Vergara-Morales   +3 more
doaj   +1 more source

To Investigate Validity and Reliability of Persian Version of Sport Motivation Scale (SMS-6) in University Student Population [PDF]

open access: yesرشد و یادگیری حرکتی ورزشی, 2020
The aim of the present study was to investigate validity and reliability of Persian version of Sport Motivation Scale (SMS-6). This study was descriptive-correlation and the statistical population consisted of all students of University of Tehran and 241
Milad Esmaeili   +2 more
doaj   +1 more source

Exploratory Factor Analysis and Principal Component Analysis in Clinical Studies: Which one should you use?

open access: yesJournal of Advanced Nursing, 2020
Factor analysis covers a range of multivariate methods used to explain how underlying factors influence a set of observed variables. When research aims to identify these underlying factors, exploratory factor analysis (EFA) is used. In contrast, when the
M. Alavi   +5 more
semanticscholar   +1 more source

The Poor Fit of Model Fit for Selecting Number of Factors in Exploratory Factor Analysis for Scale Evaluation

open access: yesEducational and Psychological Measurement, 2020
Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an ...
A. Montoya, M. C. Edwards
semanticscholar   +1 more source

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