Method for measuring external influencing factors of ordinal data structure and its application
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摘要: 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。Abstract: Objective To explore a method for measuring external influencing factors of ordinal data structure.Methods The agreement index was introduced to measure the external influencing factors of ordinal data structure based on information measurement theory and the application of the index was illustrated with an example.Results Information on health status and its related factors among 17 577 middle aged and elderly persons living in 145 communities and 305 villages were extracted from the database of The China Health and Retirement Longitudinal Study(CHARLS).The number of the middle aged and elderly persons with very good,good,fair,poor,and very poor health were 1 338 (7.61%),2 864 (16.29%),8 169 (46.48%),4 723 (26.87%),and 483 (2.75%),respectively.The average agreement index for health status for all the middle aged and elderly persons was 0.57±0.08 and the average agreement index for the persons living in villages was significantly lower than that for the persons living in urban communities (0.55±0.07 vs.0.61±0.06,t=-8.889;P<0.000 1).The results of multivariate linear regression analysis showed that the middle aged and elderly persons living in villages providing the pension to the elderly aged ≥ 65 years,with sewer system,and with outdoor physical exercise equipments were more likely to have better health status;the results also revealed that the urban middle aged and elderly persons living in rainless regions and living in communities with outdoor physical exercise equipments were more likely to have better health status.Conclusion Agreement index could be applied to measure external influencing factors of ordinal data structure in research data analysis.
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Key words:
- ordinal data /
- influencing factor /
- measurement method /
- application
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