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The Matrices of Factor Analysis [PDF]
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A. A. Albert
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Expandable Factor Analysis [PDF]
Bayesian sparse factor models have proven useful for characterizing dependence in multivariate data, but scaling computation to large numbers of samples and dimensions is problematic. We propose expandable factor analysis for scalable inference in factor
Dunson, David B.+2 more
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Spurious Factor Analysis [PDF]
This paper draws parallels between the principal components analysis of factorless high‐dimensional nonstationary data and the classical spurious regression. We show that a few of the principal components of such data absorb nearly all the data variation.
Onatskiy, Alexey, Wang, Chen
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Principal Component Analysis versus Factor Analysis [PDF]
The article discusses selected problems related to both principal component analysis (PCA) and factor analysis (FA). In particular, both types of analysis were compared. A vector interpretation for both PCA and FA has also been proposed.
Zenon Gniazdowski
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The October coup of 1917 and the Civil War negatively affected the fate of the country's population, particularly the Russian intellectuals. Representatives of the academic class, intellectuals, who are least adapted to disasters, had to fight for ...
Milyausha A. Akhmetova
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Best Practices for Your Exploratory Factor Analysis: A Factor Tutorial
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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BackgroundThe concept of Grit refers to a person’s ability to maintain perseverance and passion in the pursuit of long-term objectives. However, research on the applicability of the Grit-Original scale (Grit-O) in the Latin American context is limited ...
Cristian Ramos-Vera+5 more
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Building Consensus for Ambitious Climate Action Through the World Climate Simulation
Sociopolitical values are an important driver of climate change beliefs, attitudes, and policy preferences. People with “individualist‐hierarchical” values favor individual freedom, competition, and clearly defined social hierarchies, while ...
Juliette N. Rooney‐Varga+7 more
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Exploratory factor analysis with structured residuals for brain network data
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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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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