Optimizing the efficiency of computerized adaptive tests using real data: A machine learning approach

Michiel Luijten, Benjamin Schalet, Leo Roorda, Martha Grootenhuis, Lotte Haverman, Caroline Terwee

Research output: Contribution to journal › Meeting Abstract › Academic

Cite this

@article{88533a7b25db453fa16f4e0f0b34435d,

title = "Optimizing the efficiency of computerized adaptive tests using real data: A machine learning approach",

author = "Michiel Luijten and Benjamin Schalet and Leo Roorda and Martha Grootenhuis and Lotte Haverman and Caroline Terwee",

year = "2021",

month = oct,

language = "English",

volume = "30",

pages = "S13--S14",

journal = "Quality of life research",

issn = "0962-9343",

publisher = "Springer Netherlands",

number = "SUPPL 1",

}

TY - JOUR

T1 - Optimizing the efficiency of computerized adaptive tests using real data: A machine learning approach

AU - Luijten, Michiel

AU - Schalet, Benjamin

AU - Roorda, Leo

AU - Grootenhuis, Martha

AU - Haverman, Lotte

AU - Terwee, Caroline

PY - 2021/10

Y1 - 2021/10

M3 - Meeting Abstract

SN - 0962-9343

VL - 30

SP - S13-S14

JO - Quality of life research

JF - Quality of life research

IS - SUPPL 1

ER -