The risk factors effects model and protective factors moderating of junior high school dropout at-risk students.

• Main Authors: Tisa Ya-tung, 蔡亞彤
• Other Authors: 賀孝銘
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/12542561971071500998

碩士 === 國立彰化師範大學 === 輔導與諮商學系所 === 99 === The purpose of the study was to investigate the current situation of dropout at-risk students’ risk factors and protect factors. Secondly,to construct the risk factors effects model, and to understand the moderating effects of between protective factors and risk factors. The participants were 549 junior high school dropout at-risk student.The data was analyzed using descriptive statistics, t-test, one-way ANOVA, and structural equation models.The findings of this study were as followings: 1.The scores in risk subscales that students had higher scored in less of learning interest. The scores in protective subscales that students had higher scored in school support and assistance. 2.Significant differences were found in gender. It was found that male had higher scores in negative reaction, low self-esteem and negative behaviors and female had higher scores in positive personal characteristics and behaviors. 3.Significant differences were found in grade. It was found that the 8th grade students had higher scores in parents invalidly discipline and low attendance than the 9th grade students. The 7th grade students had higher scores in negative reaction and low self-esteem than the 8th and 9th grade students. The 8th and 9th grade students had higher scores in illegal behaviors than the 7th grade students. The 7th and 9th grade and students had higher scores in positive community resources and support than the 8th grade students. 4.Significant differences were found in different dropout students’category. 5.The one risk factors effects model used in this research matched the data obtained from the questionnaire. The influence of the School risk factors context on individual risk factors is paramount.School risk factors as the mediators between family risk factors and individual risk factor. 6.The two dropout risk factors effects model used in this research didn’t match the data obtained from the questionnaire. 7.The relationship between family risk factors and individual risk factors were moderated by family protective factors, individual protective factors and school protective factors. The relationship between school risk factors and individual risks factor were moderated by family protective factors and social protective factors. The relationship between family risk factors and school risk factors were moderated by family protective factors and school protective factors.