Nonconcurrent Multiple Baseline Design

A Nonconcurrent Multiple Baseline Design is a single-subject research design in which the baseline and intervention phases for different participants, behaviors, or settings begin at different times, but the timing of observations is not strictly simultaneous across all baselines, thereby allowing for the evaluation of treatment effects without requiring concurrent measurement across all units.

102

Publications

4.4K

Citations

307

Authors

122

Institutions

Publications per year

2017–2026

42

Authors

307

  1. NN
    Nirbhay N. Singh

    University of Bari Aldo Moro, Italy

    8 publications · 217 citations

    9

    h-index

  2. GE
    Giulio E. Lancioni

    University of Bari Aldo Moro, Italy

    8 publications · 217 citations

    9

    h-index

  3. MF
    Mark F. O’Reilly

    The University of Texas at Austin, United States

    8 publications · 217 citations

    9

    h-index

  4. JS
    Jeff Sigafoos

    The University of Texas at Austin, United States

    7 publications · 194 citations

    8

    h-index

  5. JT
    John T. Rapp

    St. Cloud State University, United States

    7 publications · 173 citations

    7

    h-index

1–5 of 307

Venues

  1. Journal of Applied Behavior Analysis

    JABA · 27 publications · 1.5K citations

    21

    h-index

  2. Behavioral Interventions

    8 publications · 416 citations

    8

    h-index

  3. Behavior Modification

    5 publications · 165 citations

    5

    h-index

  4. 3

    h-index

  5. Developmental Neurorehabilitation

    3 publications · 105 citations

    3

    h-index

1–5