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Exploratory factor analysis with structured residuals for brain network data
Network Neuroscience, 2021 Dimension reduction is widely used and often necessary to make network analyses and their interpretation tractable by reducing high-dimensional data to a small number of underlying variables.
Erik-Jan van Kesteren, Rogier A. Kievit
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Best Practices for Your Exploratory Factor Analysis: A Factor Tutorial
RAC: Revista de Administração Contemporânea, 2021 Context: exploratory factor analysis (EFA) is one of the statistical methods most widely used in administration; however, its current practice coexists with rules of thumb and heuristics given half a century ago. Objective: the purpose of this article is
Pablo Rogers
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Statistical concerns, invalid construct validity, and future recommendations
Nursing Practice Today, 2023 The need for accurate measurement of constructs and understanding of diverse phenomena has prompted researchers to investigate the validity and reliability of developed measures in a continuous effort to improve our understanding of their psychometric ...
Hamid Sharif-Nia +5 more
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Exploratory Bi-Factor Analysis [PDF]
Psychometrika, 2011 Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger. The bi-factor model has a general factor and a number of group factors. The purpose of this article is to introduce an exploratory form of bi-factor analysis.
Robert I. Jennrich, Peter M. Bentler
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Engineering Management in Production and Services, 2021 Factor analysis is a standard statistical technique for reducing data dimensionality, which is widely used in sociology, psychology, and demography. Also, financial and insurance institutions commonly use such a technique for marketing research.
Jurczak Jolanta, Jurczak Grzegorz
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Bayesian exploratory factor analysis [PDF]
Journal of Econometrics, 2014 This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings.
Conti, Gabriella +3 more
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Scale on Stress among Parents having only Daughters: Developing a Reliable Measure
Pakistan Armed Forces Medical Journal, 2023 Objective: To develop a reliable scale to measure stress among parents with only daughters. Study Design: Cross-sectional study. Place and Duration of Study: Department of Psychology, University of Gujrat, Gujrat Pakistan, from May to Jul 2019.
Saima Riaz +3 more
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Challenges and recommendations of exploratory and confirmatory factor analysis: A narrative review from a nursing perspective [PDF]
Journal of Nursing Reports in Clinical Practice, 2023 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.
Amir Hossein Goudarzian
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Sparse Exploratory Factor Analysis [PDF]
Psychometrika, 2017 Sparse principal component analysis is a very active research area in the last decade. It produces component loadings with many zero entries which facilitates their interpretation and helps avoid redundant variables. The classic factor analysis is another popular dimension reduction technique which shares similar interpretation problems and could ...
Trendafilov, Nickolay T. +2 more
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Psych, 2023 Exploratory factor analysis (EFA) is a very widely used statistical procedure in the social and behavioral sciences. This technique features in validity studies, as well as investigations of latent structure underlying observed measurements.
W. Holmes Finch
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