Enrollment Data Analytics

Enrollment Data Analytics is the systematic application of quantitative and qualitative data analysis methods to institutional enrollment records and student demographic information in order to identify patterns, forecast trends, and inform strategic decision-making within the domain of Enrollment Management.

107

Publications

3.6K

Citations

269

Authors

128

Institutions

Publications per year

2017–2026

34

Authors

269

  1. WC
    William C. Weiler

    Stanford University, United States

    3 publications · 91 citations

    3

    h-index

  2. SD
    Susan Dynarski

    University of Michigan, United States

    2 publications · 164 citations

    2

    h-index

  3. JJ
    Jolanta Juszkiewicz

    2 publications · 97 citations

    2

    h-index

  4. SA
    Scott A. Ginder

    United States Department of Justice, United States

    2 publications · 73 citations

    2

    h-index

  5. SW
    Steven W. Hemelt

    University of North Carolina at Chapel Hill, United States

    2 publications · 164 citations

    2

    h-index

1–5 of 269

Venues

  1. New Directions for Institutional Research

    NDIR · 8 publications · 167 citations

    7

    h-index

  2. Research in Higher Education

    4 publications · 130 citations

    4

    h-index

  3. Educational Data Mining

    Conference · 4 publications · 98 citations

    4

    h-index

  4. Educational Evaluation and Policy Analysis

    3 publications · 250 citations

    3

    h-index

  5. The Journal of Higher Education

    JHE · 3 publications · 47 citations

    3

    h-index

1–5