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Adjusting for cross-cultural differences in computer-adaptive tests of quality of life.

Chris Chris Sidey-GibbonsS M Skevingtonnull null
Published in: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation (2017)
Assessing differential item functioning using item response theory can identify measurement invariance between cultures which, if uncontrolled, may undermine accurate comparisons in computer-adaptive testing assessments of QoL. We demonstrate how compensating for DIF using item anchoring allowed data from all four countries to be compared on a common metric, thus facilitating assessments which were both sensitive to cultural nuance and comparable between countries.
Keyphrases
  • psychometric properties
  • deep learning
  • electronic health record
  • big data
  • machine learning
  • artificial intelligence