Computerized adaptive testing system of functional assessment of stroke

Gong Hong Lin, Yi Jing Huang, Yeh Tai Chou, Hsin Yu Chiang, Ching Lin Hsieh

研究成果: 雜誌貢獻文章同行評審


The computerized adaptive testing system of the functional assessment of stroke (CAT-FAS) can simultaneously assess four functions (motor functions of the upper and lower extremities, postural control, and basic activities of daily living) with sufficient reliability and administrative efficiency. CAT, a modern measurement method, aims to provide a reliable estimate of the examinee’s level of function rapidly. CAT administers only a few items whose item difficulties match an examinee’s level of function and, thus, the administered items of CAT can provide sufficient information to reliably estimate the examinee’s level of function in a short time. The CAT-FAS was developed through four steps: (1) determining the item bank, (2) determining the stopping rules, (3) validating the CAT-FAS, and (4) establishing a platform of online administration. The results of this study indicate that the CAT-FAS has sufficient administrative efficiency (average number of items = 8.5) and reliability (group-level Rasch reliability: 0.88 - 0.93; individual-level Rasch reliability: ≥70% of patients had Rasch reliability score ≥0.90) to simultaneously assess four functions in patients with stroke. In addition, because the CAT-FAS is a computer-based test, the CAT-FAS has three additional advantages: the automatic calculation of scores, the immediate storage of data, and the easy exporting of data. These advantages of the CAT-FAS will be beneficial to data management for clinicians and researchers.

期刊Journal of Visualized Experiments
出版狀態已發佈 - 1月 2019

ASJC Scopus subject areas

  • 神經科學 (全部)
  • 化學工程 (全部)
  • 生物化學、遺傳與分子生物學 (全部)
  • 免疫學與微生物學 (全部)


深入研究「Computerized adaptive testing system of functional assessment of stroke」主題。共同形成了獨特的指紋。