Investigating psychometric properties of the arm activity measure – Thai version (ArmA-TH) sub‐scales using the Rasch model
Montana Buntragulpoontawee; Jeeranan Khunachiva; Patreeya Euawongyarti; Nahathai Wongpakaran; Tinakon Wongpakaran; Atcharee Kaewma; Stephen Ashford; Trevor G. Bond
BACKGROUND: This study investigated the ArmA-TH sub-scale measurement properties based on item response theory using the Rasch model. METHODS: Patients with upper limb hemiplegia resulting from cerebrovascular and other brain disorders were asked to complete the ArmA-TH questionnaire. Rasch analysis was performed to test how well the ArmA-TH passive and active function sub-scales fit the Rasch model by investigating unidimensionality, response category functioning, reliability of person and item, and differential item functioning (DIF) for age, sex, and education. RESULTS: Participants had stroke or other acquired brain injury (n = 185), and the majority were men (126, 68.1 %), with a mean age of 55 (SD 22). Most patients (91, 49.2 %) had graduated from elementary/primary school. For the ArmA-TH passive function scale, all items had acceptable fit statistics. The scale's unidimensionalit...
Montana Buntragulpoontawee, Jeeranan Khunachiva, Patreeya Euawongyarti, Nahathai Wongpakaran, Tinakon Wongpakaran, Atcharee Kaewma, Stephen Ashford, & Trevor G. Bond (2021). Investigating psychometric properties of the arm activity measure – Thai version (ArmA-TH) sub‐scales using the Rasch model. BMC Medical Research Methodology, 21(1), 46-46. https://doi.org/10.1186/s12874-021-01238-5