Process / pipelinedimension-reduction

Factor Analysis

Factor analysis is a statistical technique for identifying latent (unobserved) dimensions underlying observed variables, developed by Louis Leon Thurstone in the 1930s and formalized by Jöreskog (1969). Exploratory factor analysis (EFA) discovers unknown factor structure from data; confirmatory factor analysis (CFA) tests hypothesized relationships between observed and latent variables. Essential in psychometrics (test development), organizational research (measuring constructs like leadership style), and biomedicine (identifying disease subtypes), factor analysis reduces dimensionality while revealing conceptual organization in multivariate data.

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แหล่งอ้างอิง

  1. Thurstone, L. L. (1947). Multiple Factor Analysis. University of Chicago Press. DOI: 10.2307/2304512
  2. Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI: 10.1007/BF02289343
  3. Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151. DOI: 10.1177/001316446002000116

วิธีอ้างอิงหน้านี้

ScholarGate. (2026, June 4). Exploratory and Confirmatory Factor Analysis. ScholarGate. https://scholargate.app/th/research-statistics/factor-analysis

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ถูกอ้างอิงโดย

ScholarGateFactor Analysis (Exploratory and Confirmatory Factor Analysis). สืบค้นเมื่อ 2026-06-15 จาก https://scholargate.app/th/research-statistics/factor-analysis · ชุดข้อมูล: https://doi.org/10.5281/zenodo.20539026