Psychometric assessment of the attitude towards menopause checklist: A Persian version

This study aimed to develop and evaluate the psychometric properties of the Attitude Toward Menopause (ATM) Checklist within the Iranian cultural context. Data were collected in 2017 from a total of 700 postmenopausal women residing in Semnan and Khorasan Razavi provinces. Content validity was assessed by a panel of eight experts using the Lawshe method and Content Validity Index (CVI), resulting in the elimination of 11 items that did not meet the required thresholds. Internal consistency analysis yielded a Cronbach's alpha of 0.69, indicating acceptable reliability. Exploratory factor analysis (EFA), conducted on a randomly selected subsample of 350 participants (mean age = 55.45, SD = 5.58), supported a five-factor structure explaining 48 percent of the total variance. Confirmatory factor analysis (CFA) on the remaining 350 participants validated the revised 18-item model, with fit indices demonstrating an acceptable model fit (χ2/df = 2.21, CFI = 0.90, GFI = 0.91, RMSEA = 0.059). These findings suggest that the culturally adapted ATM Checklist is a valid and reliable tool for assessing attitudes toward menopause among Iranian women. Further studies are recommended to confirm its applicability across diverse subpopulations.