Ideal Point Modeling

Ideal Point Modeling is a preference mapping technique that represents individuals' ideal choices as points in a multidimensional space, distinguishing itself from other preference models by specifying preferences as decreasing functions of Euclidean distance from these ideal points.

138

Publications

9.7K

Citations

268

Authors

167

Institutions

Publications per year

2017–2026

34

Variants

Ideal Point Model

Authors

268

  1. FD
    Fritz Drasgow

    University of Illinois Urbana-Champaign, United States

    10 publications · 795 citations

    10

    h-index

  2. SS
    Stephen Stark

    University of South Florida, United States

    7 publications · 573 citations

    7

    h-index

  3. LT
    Louis Tay

    Purdue University West Lafayette, United States

    7 publications · 251 citations

    7

    h-index

  4. NT
    Nathan T. Carter

    University of Georgia, United States

    6 publications · 261 citations

    6

    h-index

  5. OS
    Oleksandr S. Chernyshenko

    Nanyang Technological University, Singapore

    5 publications · 540 citations

    5

    h-index

1–5 of 268

Venues

  1. Political Analysis

    12 publications · 1.6K citations

    12

    h-index

  2. American Journal of Political Science

    AJPS · 8 publications · 1.5K citations

    8

    h-index

  3. Applied Psychological Measurement

    6 publications · 148 citations

    6

    h-index

  4. SSRN Electronic Journal

    Repository · 5 publications · 140 citations

    5

    h-index

  5. American Political Science Review

    4 publications · 853 citations

    4

    h-index

1–5