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目的探讨测量有序数据结构外部影响因素的方法。方法以信息测量理论为基础,引入一致性指数(AGR)的概念,并结合实例分析,对有序数据结构的外部影响因素进行测量。结果实例分析中,该研究调查了145个城市社区和305个乡村行政单位,中老年人共计17 577人,其中健康状况很好、好、一般、不好、很不好的人数分别为1 338人(7.61%)、2 864人(16.29%)、8 169人(46.48%)、4 723人(26.87%)、483人(2.75%);450个村/社区中老年人整体健康状况平均AGR为(0.57±0.08);农村中老年人整体健康状况AGR为(0.55±0.07),低于城市社区中老年人整体健康状况AGR的(0.61±0.06),差异有统计学意义(t=-8.889,P<0.000 1);多重线性回归分析结果显示,给≥65岁老年人发放补助、有下水道系统、有露天健身器材的乡村和下雨天数少、有露天健身器材的城市社区,中老年人整体健康状况相对较好。结论基于AGR测量有序数据结构外部影响因素的方法能够较好地运用于实践分析中。
Objective To explore a method to measure external influencing factors of ordered data structure. Methods Based on the information measurement theory, the concept of consistency index (AGR) is introduced, and the external influencing factors of the ordered data structure are measured with the example analysis. Results In the case study, the study surveyed 145 urban communities and 305 rural administrative units. A total of 17 577 middle-aged and elderly people were surveyed. Among them, the health status was good, good, fair, not good, and very poor were 1 338 (7.61%), 2864 (16.29%), 8169 (46.48%), 4 723 (26.87%) and 483 (2.75%). The average health status of 450 elderly people in 450 villages / communities average AGR (0.57 ± 0.08). The overall AGR of rural middle-aged and elderly people was (0.55 ± 0.07), which was lower than that of AGR (0.61 ± 0.06) in middle-aged and elderly people in urban areas, with a significant difference (t = -8.889 , P <0.0001). Multiple linear regression analysis showed that subsidies were provided to the elderly aged 65 or older, with sewer system, rural with outdoor fitness equipment and few urban communities with open-air exercise equipment, middle-aged and elderly people The overall health is relatively good. Conclusion The method of measuring external influencing factors of ordered data structures based on AGR can be well applied in practical analysis.