Objective To explore the differences between the minority nationality and Han recruits in army occupational adaptability.Methods 3 213 recruited youths coming from 29 autonomous counties of minority nationalities,Yunnan Province were tested by 2011 Chinese enrollment psychological test system to explore the differences of the intelligence adaptability and character trait adaptability between the minority nationality and Han recruits.Results There were obvious differences in the eligible rates of intelligence and character trait between minority nationality and Han recruits ( x2 =13.3,9.0; P ＜ 0.01 ).The intelligence eligible rates of Yi,Hani,Wa recruits (78.1％,76.8％,68.2％,respectively) were significantly lower than those of Han recruits (84.0％) (P＜0.01 ),and time used in three intelligence test was all significantly longer than Han recruits(P ＜ 0.05 ).Naxi and Dai recruits' time used in word reasoning ( ( 109.2 ± 20.9) s; ( 123.9 ± 32.5 ) s,respectively) was both longer than Han recruits' (P＜0.01).In the fact of character trait,the eligible rates of Hani,Wa recruits (67.8％,64.3％,respectively) were significantly lower than that of Han recruits (78.1％) (P ＜ 0.01 ).The Hani average score of T dimension (57.9 ± 17.5) was obviously higher than the Han's score (52.2 ± 16.5) (P ＜ 0.05 ).All dimensions average scores except T and D dimension of Wa recruits were all significantly higher than those in Han recruits(P ＜ 0.05 ).Conclusion Every minority nationality has its unique differences in armyoccupational adaptability from Han.Ethnic factor may be an important reference for new recruits' selection,education and management.

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.

Objective To explore the structure of violent attitude and the predictive character of the passionate criminal and recidivist. Methods This study used FMMU-Abnormal Personality Risk Factors Inventory (FMMU-APRI) for measuring explicit violent attitude of the passionate criminal and recidivist in prison; while used the picture Attitude Activation paradigm (AAP) for assessing implicit violent attitude. Results The AAP results showed that parts of passionate criminal and recidivist had reversed priming effect, according to whether reversed, there were divided into four types: no-reversal passionate criminals, reversal passionate criminals, no-reversal recidivists and reversal recidivists, VIO scores of no-reversal passionate criminals and recidivists recidivist were significantly higher than the norm, as reversal passionate criminals and recidivists had no significance; in noreversal passionate criminals, compatible response rate was 1.104, incompatible response rate was 1.053; in reversal passionate criminals, compatible response rate was 1.042, incompatible response rate was 0.997; in no-reversal recidivists, compatible response rate was 1.059, incompatible response rate was 1.097; in reversal recidivists , compatible response rate was 1.039, incompatible response rate was 0.998, as each group had strong priming effect, and each group had a dissociation of implicit and explicit violent attitude. Conclusion The results suggest that offenders who have committed a crime in the same category also had a different violent attitude; and integrating indirect methods with direct methods would predict a crime more accurately.