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目的探讨在人均GDP和城乡两种经济划分方式中,哪种方式更能反应出地区经济状况对青少年心理特征产生的影响。方法以山东省23701名应征青年为对象,以人均GDP聚类划分和国家行政级别划分为经济水平分类方法,采用全国征兵心理检测系统为心理特征检测工具。结果人均GDP划分方式下,数学能力和信息加工速度的合格率在一级、二级和三级地区存在显著差异(P<0.05),而词语推理中,一级和二级地区显著高于三级地区(P<0.05);Net维度中一级地区(44.96±9.55)、二级地区(46.79±10.05)和三级地区(47.47±10.45)存在显著差异(P<0.05);Dit维度中,一级地区(44.54±9.10)、二级地区(46.20±9.53)和三级地区(46.99±10.05)也存在显著差异(P<0.05);而Set维度中,一级地区(45.89±8.59)和二级地区(46.34±8.78)未见显著差异(P>0.05)。国家行政级别划分方式下,城市应征青年的数学能力、信息加工速度和语词推理合格率均显著高于农村应征青年(P<0.05);性格测验中,城市应征青年的Net、Set和Dit维度分值显著低于农村青年(P<0.05)。结论在国家行政级别划分方式的基础上,按人均GDP聚类划分的方式能更好反映地区经济对青少年心理特征的影响。
Objective To explore which of the two methods of economic per capita GDP and urban-rural economic division can better reflect the impact of regional economic conditions on the psychological characteristics of adolescents. Methods A total of 23,701 young people recruited from Shandong Province were selected as subjects. The classification of per capita GDP and the level of national administration were divided into three categories according to their economic level. The national conscription psychological examination system was used as a psychological characteristic test tool. Results According to the way of dividing GDP per capita, there was a significant difference (P <0.05) in the passing rate of mathematics ability and information processing speed among the first grade, the second grade and the third grade, while the first grade and the second grade were significantly higher than the third grade (P <0.05). There was a significant difference (P <0.05) between the first dimension of Net dimension (44.96 ± 9.55), the second grade (46.79 ± 10.05) and the third grade (47.47 ± 10.45) There was also a significant difference (P <0.05) between the first grade area (44.54 ± 9.10), the second grade area (46.20 ± 9.53) and the third grade area (46.99 ± 10.05) Secondary areas (46.34 ± 8.78) showed no significant difference (P> 0.05). Under the national administrative level classification, the math ability, information processing speed and word reasoning pass rate of urban recruited youth were significantly higher than that of rural youth recruited (P <0.05). In the personality test, Net, Set and Dit dimensions of urban recruiting youth The value was significantly lower than that of rural youth (P <0.05). Conclusion Based on the classification of the state administrative levels, the way of cluster by per capita GDP can better reflect the impact of regional economy on the psychological characteristics of adolescents.