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目的 对辽宁省沿海地区新农合社会经济与参合情况进行综合评价.方法 采用SPSS软件对影响新农合社会经济与参合情况的因素进行因子分析,建立因子模型,通过因子得分及综合排名的方法对各地区新农合社会经济与参合情况进行综合评价.结果 综合因子得分最高的前5位分别是老边区、金州区、鲅鱼圈区、建昌县和普兰店市,得分最低的后5位分别是黑山县、兴隆台区、元宝区、古塔区和站前区.结论 因子分析法能够科学、合理地评价新农合社会经济与参合情况.“,”Objective To have a comprehensive assessment of social economy and participating situation of new rural cooperative medical system in coastal areas of Liaoning Province.Methods SPSS software was used to conducted a factor analysis on social economy and participating situation of new rural cooperative medical system in coastal areas of Liaoning Province.Then factor models were built,and the social economy and participating situation of new rural cooperative medical system in these areas were comprehensively assessed by means of factor score and comprehensive ranking.Results The top five regions ranked by comprehensive factor score were Laobian District,Jinzhou District,Bayuquan District,Jianchang County and Pulandian (county-level city),and the last five were Heishan County,Xinglongtai District,Yuanbao District,Guta District and Zhanqian District.Conclusion Factor analysis can be used to scientifically and rationally assess social economy and participating situation of new rural cooperative medical system.