Measurement Dependability

Measurement Dependability is a formal construct within the universe of admissible observations that specifies the extent to which measurement outcomes remain consistent, valid, and trustworthy under varying conditions, distinguishing itself by its focus on the robustness and fidelity of observational data with respect to methodological, temporal, and contextual perturbations.

17

Publications

2.5K

Citations

42

Authors

26

Institutions

Publications per year

2017–2026

2

Authors

42

  1. JM
    John M. Hintze

    University of Massachusetts Amherst, United States

    2 publications · 74 citations

    2

    h-index

  2. PR
    Philip R. Merrifield

    University of Southern California, United States

    1 publications · 1.8K citations

    1

    h-index

  3. KJ
    Karyl J. Burns

    Hartford Hospital, United States

    1 publications · 21 citations

    1

    h-index

  4. JP
    Jacques P. Barber

    University of Pennsylvania, United States

    1 publications · 51 citations

    1

    h-index

  5. DH
    Dany H. Gagnon

    Université de Montréal, Canada

    1 publications · 62 citations

    1

    h-index

1–5 of 42

Venues

  1. Journal of Personality

    1 publications · 90 citations

    1

    h-index

  2. Research in Nursing & Health

    1 publications · 21 citations

    1

    h-index

  3. Personality and Individual Differences

    1 publications · 27 citations

    1

    h-index

  4. Educational and Psychological Measurement

    1 publications · 23 citations

    1

    h-index

  5. Psychology in the Schools

    1 publications · 29 citations

    1

    h-index

1–5