Measurement Error Variance Equality

Measurement Error Variance Equality is a measurement invariance criterion that requires the variances of the measurement errors for corresponding observed variables to be equal across groups or time points, ensuring that differences in observed variable variances are not attributable to differing levels of measurement unreliability.

11

Publications

502

Citations

34

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

34

  1. AG
    Andrew Gibbs

    South African Medical Research Council, South Africa

    1 publications · 14 citations

    1

    h-index

  2. BF
    Bert F. Green

    Johns Hopkins University, United States

    1 publications · 11 citations

    1

    h-index

  3. JM
    John M. Ernst

    The Ohio State University, United States

    1 publications · 20 citations

    1

    h-index

  4. GR
    G R Giles

    St James's University Hospital, United Kingdom

    1 publications · 67 citations

    1

    h-index

  5. WR
    William R. Lovallo

    University of Oklahoma Health Sciences Center, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 34

Venues

  1. Psychometrika

    2 publications · 64 citations

    2

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  2. Global Health Action

    1 publications · 14 citations

    1

    h-index

  3. Statistics

    1 publications · 19 citations

    1

    h-index

  4. High Ability Studies

    1 publications · 21 citations

    1

    h-index

  5. Psychophysiology

    1 publications · 20 citations

    1

    h-index

1–5