Sequential Invariance Testing

Sequential Invariance Testing is a methodological framework within measurement invariance analysis that systematically evaluates scalar invariance across ordered groups or time points by sequentially imposing and testing constraints on intercepts in a hierarchical manner.

11

Publications

1.4K

Citations

19

Authors

11

Institutions

Publications per year

2017–2026

0

Variants

Sequential Measurement Invariance

Authors

19

  1. PK
    Pranab Kumar Sen

    University of North Carolina at Chapel Hill, United States

    2 publications · 194 citations

    2

    h-index

  2. RA
    Richard A. Johnson

    University of Wisconsin–Madison, United States

    2 publications · 220 citations

    2

    h-index

  3. PR
    Paul R. Eskildsen

    Pacific Medical (China), China

    1 publications · 13 citations

    1

    h-index

  4. MR
    Manard R. Stewart

    University of Oregon, United States

    1 publications · 13 citations

    1

    h-index

  5. PS
    P. Sprent

    1 publications · 53 citations

    1

    h-index

1–5 of 19

Venues

  1. Technometrics

    2 publications · 220 citations

    2

    h-index

  2. Perception & Psychophysics

    1 publications · 13 citations

    1

    h-index

  3. Behavior Research Methods

    BRM · 1 publications · 50 citations

    1

    h-index

  4. Child Development

    1 publications · 54 citations

    1

    h-index

  5. Organizational Research Methods

    ORM · 1 publications · 453 citations

    1

    h-index

1–5