The influence of economic and cultural differences on the psychological characteristics of the recruits
10.3760/cma.j.issn.1674-6554.2011.03.025
- VernacularTitle:不同经济划分方式四川省青年心理特征的比较
- Author:
Shen HUANG
;
Muzhen GUAN
;
Wei XIAO
;
Wei WANG
;
Jianzhang CHEN
;
Dianmin MIAO
- Publication Type:Journal Article
- Keywords:
Economical level;
Economical division of regions;
Intelligence;
Character
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2011;20(3):270-272
- CountryChina
- Language:Chinese
-
Abstract:
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.
