Scoring HDQLIFE Measures

Scoring

  • When data are collected through Assessment Center or REDCap (not yet available), HDQLIFE™ CATs and HDQLIFE fixed short forms are automatically scored as they are being administered.
  • When data are collected on paper or in data collection systems other than Assessment Center or REDCap (not yet available), scoring of HDQLIFE fixed short forms can be calculated by using look-up tables to transform a raw score to a T-score. T-score distributions rescale raw scores into standardized scores with a mean of 50 and a standard deviation (SD) of 10. For adults, a clinical reference population (HD) was used for all HDQLIFE measures. You can find look-up tables in the User Manual.
  • HDQLIFE short forms can also be scored with the Assessment Center Scoring Service. This software application enables item response theory (IRT) calculated scoring of any short form, fixed or custom. The Scoring Service accepts a user’s data file and produces a scored output file containing Theta, a T-score, and a standard error for each respondent. This service allows for accurate scoring of HDQLIFE measures collected on paper or in data collection systems other than Assessment Center or REDCap. The Assessment Center Scoring Service may be accessed from www.assessmentcenter.net and by clicking on the "Scoring Service" button on the right of the page (this service is not yet available for HDQLIFE).
  • Important: A higher HDQLIFE T-score represents more of the concept being measured. For symptoms and other negatively-worded concepts such as Chorea, a T-score of 60 is worse than the averaged reference population. For positively-worded concepts such as Meaning and Purpose, a T-score of 60 is better than the averaged reference population.
  • Custom short forms cannot be scored using the provided look-up tables. For information on scoring a custom short form, please use the Assessment Center Scoring Service referenced above (not yet available for HDQLIFE measures) or contact PMR-CODAlab@med.umich.edu.
  • For a more in-depth explanation on scoring, including instructions on how to approximate a score if a participant skips questions, please refer to the User Manual.