Content Validity Generalization

Content Validity Generalization is a methodological framework within measurement theory that extends the evidence of content validity from a specific assessment instrument or task to other contexts, populations, or domains by systematically evaluating the representativeness and relevance of content across generalized conditions.

65

Publications

4.2K

Citations

121

Authors

66

Institutions

Publications per year

2017–2026

4

Authors

121

  1. JE
    John E. Hunter

    Michigan State University, United States

    10 publications · 1.1K citations

    10

    h-index

  2. FL
    Frank L. Schmidt

    University of Iowa, United States

    9 publications · 1K citations

    9

    h-index

  3. KP
    Kenneth Pearlman

    United States Office of Personnel Management, United States

    5 publications · 630 citations

    5

    h-index

  4. FL
    Frank L. Schmidt

    University of Iowa, United States

    4 publications · 194 citations

    4

    h-index

  5. NS
    Nambury S. Raju

    Illinois Institute of Technology, United States

    3 publications · 228 citations

    3

    h-index

1–5 of 121

Venues

  1. Personnel Psychology

    16 publications · 1K citations

    15

    h-index

  2. Journal of Applied Psychology

    14 publications · 975 citations

    14

    h-index

  3. Educational and Psychological Measurement

    5 publications · 811 citations

    5

    h-index

  4. Nordicom review/NORDICOM review

    1 publications · 12 citations

    1

    h-index

  5. 1

    h-index

1–5