Concepedia

Repeated-measures Invariance

Repeated-Measures Invariance is a measurement invariance framework that establishes the consistency of construct indicators and latent variable relationships across multiple occasions within the same subjects, ensuring that observed changes over time reflect true longitudinal variation rather than measurement artifact.

2

Publications

43

Citations

8

Authors

5

Institutions

Publications per year

2017–2026

2

Parents

Publications

2

1–2 of 2

Authors

8

  1. CH
    Christoph Hintermüller

    Guger Technologies (Austria), Austria

    1 publications · 19 citations

    1

    h-index

  2. CK
    Christoph Kapeller

    Guger Technologies (Austria), Austria

    1 publications · 19 citations

    1

    h-index

  3. RH
    Richard Hamilton

    University of Auckland, New Zealand

    1 publications · 24 citations

    1

    h-index

  4. GB
    Gavin Brown

    University of Auckland, New Zealand

    1 publications · 24 citations

    1

    h-index

  5. MA
    Mohammad Abu-Alqumsan

    Technical University of Munich, Germany

    1 publications · 19 citations

    1

    h-index

1–5 of 8

Institutions

5

  1. Guger Technologies (Austria)

    Graz, Austria

    1 h-index

    3 publications

    57 citations

  2. University of Auckland

    Auckland, New Zealand

    1 h-index

    3 publications

    72 citations

  3. Technical University of Munich

    Munich, Germany

    1 h-index

    1 publications

    19 citations

  4. University of the West of England

    Bristol, United Kingdom

    1 h-index

    1 publications

    19 citations

  5. Bristol Robotics Laboratory

    Bristol, United Kingdom

    1 h-index

    1 publications

    19 citations

1–5 of 5

Venues

  1. British Journal of Educational Psychology

    1 publications · 24 citations

    1

    h-index

  2. Journal of Neural Engineering

    1 publications · 19 citations

    1

    h-index

1–2