Functional Analysis-informed Differential Reinforcement

Functional Analysis-Informed Differential Reinforcement is a behavioral intervention strategy that systematically reinforces desired behaviors while suppressing aberrant behaviors by tailoring reinforcement schedules and contingencies to the empirically identified functional classes of behavior derived from prior functional analysis.

27

Publications

2K

Citations

84

Authors

32

Institutions

Publications per year

2017–2026

2

Authors

84

  1. TR
    Timothy R. Vollmer

    University of Florida, United States

    4 publications · 602 citations

    4

    h-index

  2. DP
    David P. Wacker

    University of Iowa, United States

    4 publications · 268 citations

    4

    h-index

  3. HS
    Henry S. Roane

    SUNY Upstate Medical University, United States

    3 publications · 284 citations

    3

    h-index

  4. DA
    David A. Wilder

    Florida Institute of Technology, United States

    3 publications · 133 citations

    3

    h-index

  5. JM
    Jennifer M. Asmus

    University of Iowa, United States

    3 publications · 236 citations

    3

    h-index

1–5 of 84

Venues

  1. Journal of Applied Behavior Analysis

    JABA · 22 publications · 1.7K citations

    21

    h-index

  2. Journal of Behavioral Education

    2 publications · 99 citations

    2

    h-index

  3. PubMed

    Repository · 1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

  5. Behavior Analysis in Practice

    1 publications · 161 citations

    1

    h-index

1–5