Detecting correlated residuals in exploratory factor analysis: New proposals and a comparison of procedures

PJ Ferrando, A Hernandez-Dorado… - … Equation Modeling: A …, 2022 - Taylor & Francis
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 …

Linear and Nonlinear Indices of Score Accuracy and Item Effectiveness for Measures That Contain Locally Dependent Items

PJ Ferrando, D Navarro-González… - Educational and …, 2024 - journals.sagepub.com
The problem of local item dependencies (LIDs) is very common in personality and attitude
measures, particularly in those that measure narrow-bandwidth dimensions. At the structural …

Latent functional connectivity underlying multiple brain states

EM McCormick, KL Arnemann, T Ito, SJ Hanson… - Network …, 2022 - direct.mit.edu
Functional connectivity (FC) studies have predominantly focused on resting state, where
ongoing dynamics are thought to reflect the brain's intrinsic network architecture, which is …

A simple two-step procedure for fitting fully unrestricted exploratory factor analytic solutions with correlated residuals

PJ Ferrando, A Hernández-Dorado… - … Equation Modeling: A …, 2024 - Taylor & Francis
A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated
residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) …

Tracing the development and lifespan change of population-level structural asymmetry in the cerebral cortex

JM Roe, D Vidal-Pineiro, IK Amlien, M Pan, MH Sneve… - Elife, 2023 - elifesciences.org
Cortical asymmetry is a ubiquitous feature of brain organization that is subtly altered in some
neurodevelopmental disorders, yet we lack knowledge of how its development proceeds …

Evaluating underlying factor structures using novel machine learning algorithms: An empirical and simulation study

E Ramirez, P Liu, GL Frankwick - Journal of Business Research, 2024 - Elsevier
The scale development paradigm was created to improve the measurement of latent
constructs. Although several statistical techniques have been successfully integrated into the …

Alteration of brain functional networks induced by electroacupuncture stimulation in rats with ischemia–reperfusion: An independent component analysis

SS Li, XX Xing, XY Hua, YW Zhang, JJ Wu… - Frontiers in …, 2022 - frontiersin.org
Motor dysfunction is the major sequela of ischemic stroke. Motor recovery after stroke has
been shown to be associated with remodeling of large-scale brain networks, both …

Deep markov factor analysis: Towards concurrent temporal and spatial analysis of fmri data

A Farnoosh, S Ostadabbas - Advances in Neural …, 2021 - proceedings.neurips.cc
Factor analysis methods have been widely used in neuroimaging to transfer high
dimensional imaging data into low dimensional, ideally interpretable representations …

[PDF][PDF] Propiedades Psicométricas del Cuestionario de Estilos de Vida de Jóvenes Universitarios (CEVJU-Perú)

M Cassaretto, M Dávila, P Vilela, A Calderón… - … de diagnostico y …, 2023 - aidep.org
El presente estudio tiene como objetivo analizar las propiedades psicométricas del CEVJU-
Perú, el cual contiene los 30 mejores ítems del Cuestionario de Estilos de Vida de Jóvenes …

Limbic system plasticity after electroacupuncture intervention in knee osteoarthritis rats

RR Huang, JJ Wu, J Shen, XX Xing, XY Hua… - Neuroscience …, 2024 - Elsevier
Knee osteoarthritis (KOA) is characterized by debilitating pain. Electroacupuncture (EA), a
traditional Chinese medical therapy, has shown promise in KOA pain management. This …