验证性因素分析
结构方程建模
探索性因素分析
健康素养
比例(比率)
气候变化
构造(python库)
结构效度
心理学
测量不变性
读写能力
疾病
人口学
环境卫生
老年学
临床心理学
地理
医学
统计
心理测量学
生态学
数学
政治学
生物
医疗保健
社会学
计算机科学
病理
教育学
法学
程序设计语言
地图学
作者
Meghan Matlack,Hannah H. Covert,Arti Shankar,Wilco Zijlmans,Firoz Abdoel Wahid,Ashna D. Hindori‐Mohangoo,Maureen Y. Lichtveld
标识
DOI:10.3390/ijerph20247178
摘要
Prior research has shown that climate literacy is sparse among low- and middle-income countries. Additionally, no standardized questionnaire exists for researchers to measure climate literacy among general populations, particularly with regards to climate change effects on vector-borne diseases (VBDs). We developed a comprehensive literacy scale to assess current knowledge, attitudes, and behaviors towards climate change and VBD dynamics among women enrolled in the Caribbean Consortium for Research in Environmental and Occupational Health (CCREOH) cohort in Suriname. Items were generated by our research team and reviewed by a group of six external climate and health experts. After the expert review, a total of 31 climate change and 21 infectious disease items were retained. We estimated our sample size at a 10:1 ratio of participants to items for each scale. In total, 301 women were surveyed. We validated our scales through exploratory (n = 180) and confirmatory factor analyses (n = 121). An exploratory factor analysis for our general Climate Change Scale provided a four-construct solution of 11 items. Our chi-squared value (X2 = 74.32; p = 0.136) indicated that four factors were sufficient. A confirmatory factor analysis reinforced our findings, providing a good model fit (X2 = 39.03; p = 0.23; RMSEA = 0.015). Our Infectious Disease Scale gave a four-construct solution of nine items (X2 = 153.86; p = 0.094). A confirmatory factor analysis confirmed these results, with a chi-squared value of 19.16 (p = 0.575) and an RMSEA of 0.00. This research is vitally important for furthering climate and health education, especially with increases in VBDs spread by Aedes mosquitoes in the Caribbean, South America, and parts of the southern United States.
科研通智能强力驱动
Strongly Powered by AbleSci AI