不同经济划分方式四川省青年心理特征的比较

The influence of economic and cultural differences on the psychological characteristics of the recruits

目的探讨在人均GDP和城乡两种经济划分方式中，哪种方式更能反映出地区经济对青少年心理特征的影响。方法以四川省10684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，数学能力合格率二级地区显著高于一级地区（P〈0．05）；信息加工速度合格率一级、二级地区显著高于三级地区（P〈0．05）；Net维度三级地区[（52．28±10．53）分]显著高于一级[（50．64±10．17）分]、二级地区[（51．53±10．28）分，P〈0．05]；Dit维度三级地区[（52．83±11．03）分]显著高于一级[（50．56±10．56）分]、二级地区[（51．80±10．81）分，P〈0．05]；Set维度二级[（51．81±10．72）分]、三级地区[（52．44±10．94）分]显著高于一级地区[（49．90±10．76）分，P〈0．05]。国家行政级别划分方式下，信息加工速度和语词推理城市合格率显著高于农村；Set维度农村[（52．30±10．85）分]显著高于城市[（51．07±10．90）分，P〈0．05].结论按人均GDP聚类划分的方式能较好反映地区经济对青少年心理特征的影响。

Objective In the two division methods which are GDP per capita gathering and administrative level division of the state, which method can more reflect regional economy on teenagers psychological characteristics influence. Methods 10684 recruited youths were tested by Chinese enrollment psychological test system, and the division method of GDP per capita gathering and administrative level division of the state was adopted. Results By the method of GDP gathering, the percent of pass from digital operation was higher in second class region to first class region（P〈 0.05 ）. The percent of pass from digital search was higher in first and second class of region compared to third class of region （P 〈 0. 05 ）. For the Net dimension, the average value of third class region （52.28 ± 10.53 ）was obviously higher than that of first class region （50.64 ± 10. 17 ）and second class region （51.53 ± 10.28 ） （P 〈 0.05 ）. For the Dit dimension, the average value of third class region （52.83 ± 11.03 ） was obviously higher than that of first class region （ 50.56 ± 10.56 ） and second class region （ 51.80 ± 10.81 ） （P 〈 0.05 ）. The average value of Set dimension of second class region （51.81 ± 10.72 ）and third class region （52.44 ± 10.94）was evidently higher than that of first class region （49.90 ± 10.76）（P 〈 0.05 ）. While through the administrative level division of the state, the percent of pass was apparently higher in city than in country for digital searching and words reasoning; Set dimension was distinctly higher in country （52.30 ± 10. 85 ） than in city （51.07 ± 10.90）（P 〈 0.05 ）. Conclusion The GDP per capita clustering method can better reflect the regional economy on teenagers psychological characteristics influence.