论文部分内容阅读
①目的探讨一个地区的社会经济、文化教育、人口因素对死亡水平的影响。②方法资料来自于河南省第3次人口普查资料,以9项社会经济、文化教育及人口指标为一组变量(x),4项死亡率为另一组变量(y),用典则分析的方法把社会经济等指标与死亡率之间的关系充分地揭示出来,典则相关系数的检验用似然比法,资料处理用SAS软件包在AST-386型微机上完成。③结果3个有显著性的典则相关系数分别为0.7665,0.5385,0.5782．这3个典则变量拟和9项社会经济、文化教育、人口因素指标及死亡率的综合决定系数R_(x.x)~2=63.26%,R_(v.y)~2=63.24%;9项社会经济等指标拟和死亡率的能力为:R_(y.x)~2=29.06%;死亡率拟和社会经济等指标的能力为R_(x.y)~2=19.36%,④结论社会经济、文化教育及人口因素指标与死亡率之间的共性较大,提示评价一个地区死亡水平的高低,应更多地考虑社会经济、文化教育及人口因素。
①Objective To explore the impact of socio-economic, cultural education and population factors on the level of death in a region. (2) The method information is from the third census data of Henan Province, taking nine socio-economic, cultural education and population indicators as a set of variables (x) and four mortality rates as the other set of variables (y) Method to fully reveal the relationship between socio-economic indicators and mortality, etc. The test of correlation coefficient is based on Likelihood ratio method, data processing is done on AST-386 computer with SAS software package. The results of the three typical correlation coefficient were 0.7665,0.5385,0.5782. The three typical variables are as follows: the comprehensive determination coefficient R xx 2 = 63.26% and R vy 2 = 63.24% of 9 socioeconomic, cultural and educational, population factors and mortality; 9 socio-economic R yx 2 = 29.06%; Mortality and social and economic indicators such as the ability of R xy 2 = 19.36% ④ Conclusion socio-economic, cultural and educational and population The large commonalities between factor indicators and mortality suggest that to evaluate the level of death in an area, more consideration should be given to socio-economic, cultural, educational and demographic factors.