Inflated Reliability Estimates

Inflated Reliability Estimates is a measurement artifact in psychometric and statistical analysis wherein the estimated reliability of a test or scale is spuriously elevated due to the presence of local dependence among items, leading to an overestimation of internal consistency beyond what would be expected under the assumption of conditional independence.

28

Publications

2.2K

Citations

73

Authors

44

Institutions

Publications per year

2017–2026

4

Authors

73

  1. BO
    Brian O’Neill

    The University of Adelaide, Australia

    1 publications · 84 citations

    1

    h-index

  2. MC
    Michael C. Campion

    Purdue University West Lafayette, United States

    1 publications · 103 citations

    1

    h-index

  3. YC
    Ying Cheng

    University of Notre Dame, United States

    1 publications · 11 citations

    1

    h-index

  4. BS
    Bent Storå

    University of Oslo, Norway

    1 publications · 20 citations

    1

    h-index

  5. WB
    Winona B. Vernberg

    Duke University, United States

    1 publications · 26 citations

    1

    h-index

1–5 of 73

Venues

  1. Applied Psychological Measurement

    5 publications · 795 citations

    5

    h-index

  2. NeuroImage

    2 publications · 197 citations

    2

    h-index

  3. Human Performance

    1 publications · 103 citations

    1

    h-index

  4. CBE—Life Sciences Education

    1 publications · 162 citations

    1

    h-index

  5. Psychotherapy Research

    1 publications · 20 citations

    1

    h-index

1–5