Simple Slopes Analysis

Simple Slopes Analysis is a statistical procedure used in the context of moderation analysis to evaluate the conditional effects of a predictor variable on an outcome variable at specific values of a moderating variable, thereby clarifying the nature of interaction effects in regression models.

124

Publications

13.2K

Citations

394

Authors

222

Institutions

Publications per year

2017–2026

57

Variants

Simple Slopes

Authors

394

  1. DJ
    Daniel J. Bauer

    University of North Carolina at Chapel Hill, United States

    3 publications · 6.6K citations

    3

    h-index

  2. SY
    Shihan Yang

    China Medical University, China

    3 publications · 147 citations

    3

    h-index

  3. XK
    Xiaofei Kang

    Shandong University, China

    3 publications · 80 citations

    3

    h-index

  4. HW
    Hui Wu

    China Medical University, China

    3 publications · 147 citations

    3

    h-index

  5. PJ
    Patrick J. Curran

    University of North Carolina at Chapel Hill, United States

    3 publications · 6.6K citations

    3

    h-index

1–5 of 394

Venues

  1. Frontiers in Psychology

    5 publications · 89 citations

    5

    h-index

  2. Psychology Health & Medicine

    3 publications · 80 citations

    3

    h-index

  3. Multivariate Behavioral Research

    MBR · 3 publications · 1.7K citations

    3

    h-index

  4. 2

    h-index

  5. Educational and Psychological Measurement

    2 publications · 154 citations

    2

    h-index

1–5