Accessible Statistics Tools

Accessible Statistics Tools is a category of assistive technology designed to provide equitable access to statistical analysis and data interpretation for individuals with disabilities, distinguished by its integration of adaptive interfaces, alternative representations, and inclusive design principles that support diverse sensory, cognitive, and motor needs within mathematics education.

15

Publications

651

Citations

42

Authors

13

Institutions

Publications per year

2017–2026

5

Authors

42

  1. RW
    R. Webster West

    University of South Carolina, United States

    2 publications · 31 citations

    2

    h-index

  2. MR
    Matt Regan

    University of Auckland, New Zealand

    1 publications · 27 citations

    1

    h-index

  3. JH
    John Hedderson

    Cornell University, United States

    1 publications · 41 citations

    1

    h-index

  4. JV
    Josine Verhagen

    University of Amsterdam, Netherlands

    1 publications · 43 citations

    1

    h-index

  5. DN
    Danielle Navarro

    The University of Adelaide, Australia

    1 publications · 26 citations

    1

    h-index

1–5 of 42

Venues

  1. Journal of Statistical Software

    JSS · 3 publications · 309 citations

    3

    h-index

  2. The American Statistician

    2 publications · 62 citations

    2

    h-index

  3. Open Book Publishers

    Ebook platform · 1 publications · 26 citations

    1

    h-index

  4. Social Science Computer Review

    SSCR · 1 publications · 41 citations

    1

    h-index

  5. Teaching of Psychology

    1 publications · 13 citations

    1

    h-index

1–5