Climate, Health, and Nursing Tool (CHANT): A confirmatory factor analysis
Anna Winquist, Elizabeth Schenk, Cara Cook, Shanda Demorest, Ekaterina Burduli
Abstract
OBJECTIVE: To confirm the factor structure of the Climate, Health, and Nursing Tool (CHANT) tool via confirmatory factor analysis. DESIGN AND SAMPLE: This is a cross-sectional analysis of voluntary, anonymous responses collected online in 2019, from a non-representative sample of 489 nurses from 12 nations with 95% of the respondents from the United States. MEASUREMENTS: A confirmatory factor analysis (CFA) was conducted to test a five-factor measurement model of the 22-item CHANT. Reliability was examined via Cronbach's α coefficient. RESULTS: (199) = 582.747, p < .001, CFI = 0.94, RMSEA = 0.06, and SRMR = 0.04 with statistically significant item-factor loadings. CONCLUSION: CHANT is a reliable and robust instrument to measure nurses' awareness, concern, motivation, and home and work behaviors regarding climate change and health, and is ready to be utilized in research, policy, professional settings, and among educators.