Reading Bar Graphs

Reading Bar Graphs is a cognitive and analytical process within data interpretation that involves extracting, understanding, and evaluating quantitative information represented visually through rectangular bars of varying lengths or heights aligned along axes, specifically distinguished by its focus on discrete categorical data and the visual comparison of magnitudes across distinct categories.

27

Publications

1.1K

Citations

65

Authors

33

Institutions

Publications per year

2017–2026

9

Authors

65

  1. NA
    Nadia Ali

    University of Huddersfield, United Kingdom

    3 publications · 111 citations

    3

    h-index

  2. MA
    Marlit Annalena Lindner

    Leibniz Institute for Science and Mathematics Education, Germany

    3 publications · 112 citations

    3

    h-index

  3. DP
    David Peebles

    University of Huddersfield, United Kingdom

    3 publications · 111 citations

    3

    h-index

  4. BS
    Benjamin Strobel

    Leibniz Institute for Science and Mathematics Education, Germany

    3 publications · 112 citations

    3

    h-index

  5. SS
    Steffani Saß

    Leibniz Institute for Science and Mathematics Education, Germany

    2 publications · 87 citations

    2

    h-index

1–5 of 65

Venues

  1. Computers in Human Behavior

    1 publications · 20 citations

    1

    h-index

  2. Journal of Applied School Psychology

    1 publications · 23 citations

    1

    h-index

  3. Journal of Eye Movement Research

    1 publications · 42 citations

    1

    h-index

  4. 1

    h-index

  5. eCite Digital Repository (University of Tasmania)

    Repository · 1 publications · 11 citations

    1

    h-index

1–5