Data Measurement

Data Measurement is a foundational academic concept in Measurement Education that refers to the systematic process of assigning numerical values to attributes of objects or events according to established rules, distinguishing it from related measurement topics by its focus on the quantification of data for empirical analysis.

205

Publications

14.5K

Citations

480

Authors

241

Institutions

Publications per year

2017–2026

66

Variants

Measurement Of Data

Authors

480

  1. JP
    Josefine Pernes

    The University of Texas at Austin, United States

    3 publications · 72 citations

    3

    h-index

  2. MC
    Michael Coppedge

    University of Notre Dame, United States

    3 publications · 72 citations

    3

    h-index

  3. JT
    Jan Teorell

    Lund University, Sweden

    3 publications · 72 citations

    3

    h-index

  4. DP
    Daniel Pemstein

    North Dakota State University, United States

    3 publications · 72 citations

    3

    h-index

  5. SL
    Steven Lloyd Wilson

    University of Gothenburg, Sweden

    3 publications · 72 citations

    3

    h-index

1–5 of 480

Venues

  1. Measurement

    10 publications · 260 citations

    10

    h-index

  2. SSRN Electronic Journal

    Repository · 5 publications · 107 citations

    5

    h-index

  3. Journal of Physics Conference Series

    4 publications · 63 citations

    4

    h-index

  4. ICIQ

    3 publications · 87 citations

    3

    h-index

  5. 3

    h-index

1–5