Assessment Data Interpretation

Assessment Data Interpretation is the systematic process of analyzing and synthesizing evidence-based assessment outcomes to derive meaningful, valid, and reliable inferences about an individual's abilities, behaviors, or conditions, distinguishing it from mere data collection or reporting by emphasizing cognitive and statistical reasoning to inform diagnostic, educational, or clinical decisions.

125

Publications

7.5K

Citations

302

Authors

159

Institutions

Publications per year

2017–2026

34

Authors

302

  1. JE
    James E. Ysseldyke

    University of Minnesota, United States

    4 publications · 156 citations

    4

    h-index

  2. KE
    Karen E. Hauer

    University of California, San Francisco, United States

    2 publications · 109 citations

    2

    h-index

  3. JR
    Jennifer R. Kogan

    University of Pennsylvania, United States

    2 publications · 99 citations

    2

    h-index

  4. CW
    Christopher Watling

    Western University, Canada

    2 publications · 65 citations

    2

    h-index

  5. BA
    Bob Algozzine

    University of North Carolina at Charlotte, United States

    2 publications · 26 citations

    2

    h-index

1–5 of 302

Venues

  1. School Psychology Review

    SPR · 4 publications · 321 citations

    4

    h-index

  2. Psychological Assessment

    2 publications · 142 citations

    2

    h-index

  3. IEEE Transactions on Education

    2 publications · 38 citations

    2

    h-index

  4. Educational Psychologist

    2 publications · 296 citations

    2

    h-index

  5. Academic Medicine

    2 publications · 99 citations

    2

    h-index

1–5