| 高职“90后”新生SCL-90因子的量化研究 |
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| 引用本文： | 金鑫.高职“90后”新生SCL-90因子的量化研究[J].辽宁高职学报,2013(11):92-95. |
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| 作者姓名： | 金鑫 |
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| 作者单位： | 辽宁石化职业技术学院,辽宁 锦州121001 |
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| 基金项目： | 辽宁省教育科学“十二五”规划（大学生思想政治教育专项）2011年度立项课题（JGZXS1164） |
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| 摘 要： | 利用90项症状清单（SC L-90）对辽宁石化职业技术学院1215名2011级入学新生进行心理健康状况普查，对10项因子进行分析研究。首先，运用聚类分析把新生中筛选出来的被试群体分为4个自然组：G1---轻度症状组；G2---中度-较轻症状组；G3---中度-较重症状组；G4---重度症状组。对各组和总模型进行回归分析，发现高职院校“90后”新生中的抑郁、人际关系、躯体化和精神病性这4项因子对高职“90后”新生的心理健康状况的预测力最大。根据研究结果，进行有针对性的朋辈团体和个体心理辅导，效果显著。
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| 关 键 词： | 高职院校 “90后”新生 SC L-90因子 回归分析 朋辈心理辅导 |
The SCL-90 Factors Quantitative Research of Higher Vocational Post-90s Freshmen |
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| JIN Xin.The SCL-90 Factors Quantitative Research of Higher Vocational Post-90s Freshmen[J].Liaoning Higher Vocational Technical Institute Journal,2013(11):92-95. |
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| Authors: | JIN Xin |
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| Institution: | JIN Xin (Liaoning Vocational College of Petroleum and Engineering, Jinzhou 121001, China) |
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| Abstract: | It carries out a mental health survey among 1215 freshmen of Grade 2011 in the college by using the 90 symptomchecklist （SCL-90）, and analyzes 10 factors. First of all, using the cluster analysis the subjects are divided into four natural groups：G1-mild symptoms group;G2, moderate, lighter symptoms group;G3-medium-heavy symptoms group;G4-severe symptomgroup. By using regression analysis in groups and the general model, it is found that depression, interpersonal relationship, somatization and psychotic these four factors have the strongest predictive power for the mental health status. According to the results, it suggests the effect of targeted peer groups and individual counseling is remarkable. |
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| Keywords: | higher vocational colleges post-90s freshmen SCL-90factors regression analysis peer counseling |
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