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目的探讨山西省应征青年心理特征;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对青少年心理特征的差异。方法以山西省13701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,信息加工速度(χ2=15.91)和语词推理合格率(χ2=10.96)在一级、二级和三级地区存在显著差异(P<0.05);性格测验中,一级地区、二级地区和三级地区的Dev、Imp和Ant维度未见显著差异(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(χ2=5.99)和语词推理合格率(χ2=7.29)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Dev(52.66±11.05)显著低于农村青年(53.01±11.73)(P<0.05),城市青年的Imp维度分值(53.26±11.72)显著低于农村应征青年(54.02±12.34)(P<0.05),对其中104名应征青年进行追踪,预测符合率达65.2%。结论在国家行政级别划分方式的基础上,结合人均GDP分类方式能更好地反映地区经济对青少年心理特征的影响。
Objective To explore the psychological characteristics of youth candidates in Shanxi Province. Which of the two methods of per capita GDP and urban-rural economic division can better reflect the regional economic differences in the psychological characteristics of adolescents? Methods A total of 13,701 young people recruited from Shanxi Province were selected as subjects, and the classification method of economic level was divided according to the per capita GDP cluster and the national administrative level. The national conscription psychological examination system was used as the psychological characteristic examination tool. Results According to the method of dividing per capita GDP, there was a significant difference (P <0.05) in information processing speed (χ2 = 15.91) and word reasoning rate (χ2 = 10.96) in primary, secondary and tertiary regions; There was no significant difference in Dev, Imp and Ant dimensions between regions, secondary regions and tertiary regions (P> 0.05). Under the national administrative classification, the math ability (χ2 = 5.99) and word reasoning pass rate (χ2 = 7.29) of urban youth candidates were significantly higher than those of rural youth recruited (P <0.05). In the personality test, (52.66 ± 11.05) was significantly lower than that of rural youth (53.01 ± 11.73) (P <0.05), and that of urban youth was significantly lower than that of rural youth (54.02 ± 12.34 and 53.26 ± 11.72, respectively, P <0.05) Among them, 104 young people were recruited for follow-up, with a predicted rate of 65.2%. Conclusion Based on the classification of the national administrative level, combined with per capita GDP classification can better reflect the impact of regional economy on the psychological characteristics of adolescents.