Factor Analysis Residuals

Factor Analysis Residuals is the singular academic construct representing the discrepancy between the observed covariance matrix and the covariance matrix reconstructed from estimated factor loadings, encapsulating the portion of variance unexplained by the latent factor structure in confirmatory or exploratory factor analysis.

52

Publications

13.9K

Citations

99

Authors

66

Institutions

Publications per year

2017–2026

14

Authors

99

  1. AL
    Andrew L. Comrey

    University of California, Los Angeles, United States

    4 publications · 257 citations

    4

    h-index

  2. RG
    Ronald Glaser

    The Ohio State University, United States

    2 publications · 388 citations

    2

    h-index

  3. MC
    Michael C. Edwards

    The Ohio State University, United States

    2 publications · 158 citations

    2

    h-index

  4. KY
    Ke‐Hai Yuan

    University of Notre Dame, United States

    2 publications · 168 citations

    2

    h-index

  5. BL
    Barbara L. Andersen

    The Ohio State University, United States

    2 publications · 388 citations

    2

    h-index

1–5 of 99

Venues

  1. Psychological Reports

    4 publications · 257 citations

    4

    h-index

  2. Psychometrika

    3 publications · 431 citations

    3

    h-index

  3. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 2 publications · 124 citations

    2

    h-index

  4. Journal of Business and Economic Statistics

    JBES · 2 publications · 256 citations

    2

    h-index

  5. Psychological Methods

    2 publications · 388 citations

    2

    h-index

1–5