Interview-based Item Generation

Interview-Based Item Generation is a methodological approach within item generation that derives assessment or survey items through structured analysis of qualitative interview data to ensure content validity and contextual relevance.

12

Publications

1.7K

Citations

44

Authors

24

Institutions

Publications per year

2017–2026

4

Authors

44

  1. US
    Ulrike Schultze

    Southern Methodist University, United States

    1 publications · 521 citations

    1

    h-index

  2. SM
    Susan McClement

    University of Manitoba, Canada

    1 publications · 26 citations

    1

    h-index

  3. SB
    Sarah B. Wackerbarth

    University of Kentucky, United States

    1 publications · 28 citations

    1

    h-index

  4. LD
    L. DiAnne Borders

    University of North Carolina at Greensboro, United States

    1 publications · 143 citations

    1

    h-index

  5. SC
    Sylvia C. Nassar‐McMillan

    North Carolina State University, United States

    1 publications · 143 citations

    1

    h-index

1–5 of 44

Venues

  1. SAGE Open

    1 publications · 10 citations

    1

    h-index

  2. Qualitative Health Research

    QHR · 1 publications · 28 citations

    1

    h-index

  3. Journal of Nursing Measurement

    1 publications · 26 citations

    1

    h-index

  4. ACR Asia-Pacific Advances

    1 publications · 30 citations

    1

    h-index

  5. Information and Organization

    1 publications · 521 citations

    1

    h-index

1–5