Multiple Facet Design

Multiple Facet Design is a systematic research framework within D-Study Design that integrates multiple interrelated dimensions—such as participants, tasks, settings, or measurement instruments—to enhance the validity, generalizability, and contextual sensitivity of empirical findings by simultaneously accounting for variation across these facets.

4

Publications

102

Citations

17

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

17

  1. BL
    Bing Li

    Northwestern Polytechnical University, China

    1 publications · 14 citations

    1

    h-index

  2. RL
    Rongqiang Liu

    Harbin Institute of Technology, China

    1 publications · 14 citations

    1

    h-index

  3. AH
    António Hernández-Mendo

    Universidad de Málaga, Spain

    1 publications · 23 citations

    1

    h-index

  4. FX
    Fengfeng Xi

    Toronto Metropolitan University, Canada

    1 publications · 14 citations

    1

    h-index

  5. ME
    M. Elshout-Mohr

    University of Amsterdam, Netherlands

    1 publications · 53 citations

    1

    h-index

1–5 of 17

Venues

  1. Educational and Psychological Measurement

    1 publications · 12 citations

    1

    h-index

  2. Journal of Mechanisms and Robotics

    1 publications · 14 citations

    1

    h-index

  3. Educational Research

    1 publications · 53 citations

    1

    h-index

  4. Quality & Quantity

    1 publications · 23 citations

    1

    h-index

1–4