Minimum Average Partial Test

Minimum Average Partial Test is a statistical criterion used in exploratory factor analysis, belonging to the class of dimensionality assessment methods, that determines the optimal number of factors by identifying the point at which the average squared partial correlation among variables, residual to the extracted factors, is minimized.

14

Publications

1.1K

Citations

59

Authors

36

Institutions

Publications per year

2017–2026

5

Variants

Map TestVelicer's Map Test

Authors

59

  1. AW
    Anni Wang

    Fudan University, China

    2 publications · 38 citations

    2

    h-index

  2. RC
    Roy C. Martin

    University of Alabama at Birmingham, United States

    1 publications · 28 citations

    1

    h-index

  3. MS
    Michael S. Jaffee

    University of Florida, United States

    1 publications · 98 citations

    1

    h-index

  4. JH
    Ji Hyun Baek

    Samsung Medical Center, South Korea

    1 publications · 15 citations

    1

    h-index

  5. KH
    Kristina Harris

    University of Oxford, United Kingdom

    1 publications · 39 citations

    1

    h-index

1–5 of 59

Venues

  1. Journal of Head Trauma Rehabilitation

    JHTR · 1 publications · 98 citations

    1

    h-index

  2. Bone and Joint Research

    1 publications · 39 citations

    1

    h-index

  3. Psychological Medicine

    1 publications · 15 citations

    1

    h-index

  4. Family Process

    1 publications · 14 citations

    1

    h-index

  5. Human Heredity

    1 publications · 12 citations

    1

    h-index

1–5