初中生气质特征与父母职业及受教育程度的关系
The Relationship between Temperament Characteristics of Junior School Students and Occupation,Degree of Education of Their Parents
胡利人 1王梦荷 2胡良英 3王丹丹 4周旋5
作者信息
- 1. 中国.广东医学院公共卫生学院,湛江524023
- 2. 湖北医药学院附属太和医院
- 3. 广东省深圳市人口和计划生育科学研究所
- 4. 广东医学院人文管理学院
- 5. 济宁医学院精神卫生学院
- 折叠
摘要
目的 探讨初中生的气质特征与父母职业及受教育程度的关系.方法 采用分层整群抽样方法对湛江市4所中学初一～初三年级共2493名学生进行调查.结果 1.2493名初中生中单纯型气质占52.5％,2种气质混合型占35.7％,3种气质混合型占11.8％,单纯型气质主要为多血质,占60.9％,2种气质混合型主要为多血质与粘液质混合,占57.2％,3种气质混合型主要为胆汁质、多血质与粘液质混合,占67.2％;2.3种气质类型分布父母不同职业及受教育程度差异均无统计学意义(x2=14.811,28.090,15.794,22.712,16.760,22.895,8.116,17.748,4.202,12.484,18.492,5.778;P＞0.05).结论 个体气质类型主要由个体生物因素决定,具有相对稳定性,但可以根据气质类型进行有针对性的教育和培养.
Abstract
Objective To understand the relationship between temperament characteristics of junior school students and the occupation,degree of education of their parents.Methods A total of 2493 students were surveyed from three grade junior school students in four schools of Zhanjiang by stratified cluster sampling method.Results 1.In all the 2493 students,the simple type temperament was occupied 52.5％,2 types of temperament mixed accounted for 35.7％,3 types of temperament mixed was 11.8％ ; the main type of simple type of temperament was the blood mass,accounted for 60.9％,the main type of 2 types of temperament was the blood quality and phlegm mixed,accounted for 57.2％,the main type of 3 types of temperament was choleric temperament,sanguine temperament and phlegm mixed,accounted for 67.2％.2.Three types of temperament distribution were not significant differences between different profession and degree of education of the parents (x2 =14.811,28.090,15.794,22.712,16.760,22.895,8.116,17.748,4.202,12.484,18.492,5.778;P＞0.05).Conclusion Individual temperament type is mainly decided by individual biological factors,and relative stability,but it is possible to carry appropriate education and training according to temperament types of students.
关键词
气质/分布/影响因素/初中生Key words
Temperament/Distribution/Influencing factors/Junior school student引用本文复制引用
基金项目
湛江市科技攻关计划项目(2012C3103008)
出版年
2013
国家科技期刊平台
NSTL
维普
万方数据