Reliability and Validity of the Japanese Version of the Assessment of Readiness for Mobility Transition (ARMT-J) for Japanese Elderly

Satonori Nasu (), Yu Ishibashi, Junichi Ikuta, Shingo Yamane and Ryuji Kobayashi
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Satonori Nasu: Department of Occupational Therapy, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo 116-8551, Japan
Yu Ishibashi: Department of Occupational Therapy, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo 116-8551, Japan
Junichi Ikuta: Department of Occupational Therapy, Nakaizu Rehabilitation Center, Shizuoka 410-2507, Japan
Shingo Yamane: Department of Occupational Therapy, Faculty of Health Sciences, Aino University, Osaka 567-0012, Japan
Ryuji Kobayashi: Department of Occupational Therapy, Faculty of Health Sciences, Okayama Healthcare Professional University, Okayama 700-0913, Japan

IJERPH, 2022, vol. 19, issue 21, 1-14

Abstract: The Assessment of Readiness for Mobility Transition (ARMT) questionnaire assesses individuals’ emotional and attitudinal readiness related to mobility as they age. This study aimed to examine the reliability and validity of the Japanese version of the ARMT (ARMT-J). The ARMT-J and related variables were administered to 173 patients and staff members undergoing rehabilitation at hospitals in Japan. Construct validity was first examined using confirmatory factor analysis (CFA) to confirm cross-cultural validity. For structural validity, the optimal number of factors was confirmed using a Velicer’s minimum average partial test and parallel analysis, followed by exploratory factor analysis (EFA). Finally, a CFA was performed using the most appropriate model. Internal consistency, test–retest reliability, standard error of measurement (SEM), and smallest detectable change (SDC) were assessed for reliability. The CFA fit for the factor structure of the original ARMT was low. Therefore, the EFA was conducted with two to four factors. The optimal factor structure was three factors, with a Cronbach’s alpha coefficient and Cohen’s weighted kappa coefficient of 0.85 and 0.76, respectively. The intraclass correlation coefficient (ICC) of the test–retest was 0.93, the SEM was 0.72, and the SDC was 2.00. The model fit was good for the ARMT-J, with a three-factor structure.

Keywords: driving cessation; community mobility; older adults; assessment (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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