Completion Effects Analysis

Completion Effects Analysis is a methodological approach in interference testing that identifies and quantifies the influence of partially completed prior tasks on the performance and outcomes of subsequent tasks within an experimental or operational sequence.

5

Publications

613

Citations

10

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

10

  1. AB
    Allison B. Sekuler

    McMaster University, Canada

    2 publications · 354 citations

    2

    h-index

  2. SP
    Stephen Palmer

    University of California, Berkeley, United States

    2 publications · 354 citations

    2

    h-index

  3. PT
    Paul Tynan

    Northwestern University, United States

    1 publications · 173 citations

    1

    h-index

  4. MH
    Michal Harel

    Weizmann Institute of Science, Israel

    1 publications · 76 citations

    1

    h-index

  5. DZ
    Ding Zhu

    Texas A&M University, United States

    1 publications · 10 citations

    1

    h-index

1–5 of 10

Venues

  1. Journal of Experimental Psychology General

    2 publications · 354 citations

    2

    h-index

  2. SPE Production & Operations

    1 publications · 10 citations

    1

    h-index

  3. NeuroImage

    1 publications · 76 citations

    1

    h-index

  4. Science

    1 publications · 173 citations

    1

    h-index

  5. Journal of Quantitative Criminology

    1 publications · 33 citations

1–5