新常态时期泰国拉比哈特大学学生学习过程中良好心理健康的相关因素

Boonleang Thumthong
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There were 2 people, representing .48 percent, respectively. 2) Internal variables that were positively correlated with mental health of the students were: 3rd year students of the Faculty of Education Student age variables It was found that the first year student variable of the faculty of nursing had a negative relationship with mental health better than the general population of the students. 3) The positive feeling from the teaching and learning management policy applied to students is have relieved stress feel more rested get more sleep being with family more time for other activities. You don't have to meet a lot of people, reducing your risk. Save on travel and living expenses feel more sympathetic to parents learn new things, be happy, and do not rush to wake up to study at the university. Study anywhere more time for hobbies, less traveling. 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摘要

本研究的目的是评估学生的心理健康指数。并找出影响学生心理健康的因素。采用多阶段随机抽样法,共抽取441名学生。用于收集数据的工具包括问卷调查、心理健康指标。置信值为0.88,开放式问卷。资料用描述性统计进行分析。Pearson相关分析。使用逐步多元回归分析生成预测方程。定性数据采用分类分析和内容分析。结果表明:1)大学生心理健康状况好于一般人群的占比最高,为399人(94.77%),其次为20人(4.75%),心理健康状况最低的低于一般人群。有2人,分别占0.48%。(2)与学生心理健康呈正相关的内部变量有:教育学院大三学生年龄变量。结果发现护理学院大一学生变量与学生心理健康的负相关强于普通学生群体。3)教学管理政策对学生的积极影响是减轻了压力,得到了更多的休息,得到了更多的睡眠,与家人在一起,有更多的时间参加其他活动。你不需要见很多人,降低了你的风险。节省旅行和生活费用,多体会父母的同情,学习新事物,心情愉快,不急于醒来在大学学习。在任何地方学习,有更多时间培养爱好,少去旅行。而且起得晚。(4)对学生实施的教与学政策产生的负面情绪为离家出走、有感染疾病的风险、不外出到庇护所进行鸟类活动。不得不一直戴着面具,容易生气,对一些事情不清楚。工作累了,空闲时间少了,不按时吃饭和睡觉,做任何事情都是困难的,当做的活动不能充分完成。时间少,焦虑和毫无准备,很少有朋友。
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Factors Related To Good Mental Health During Study Of Students Rajabhat University Group During The Learning, New Normal Era, Thailand
The purpose of this research was to assess the mental health index of students. And to find factors related to the mental health of students. The sample consisted of 441 students by multistage randomization. The tools used to collect data included questionnaires, mental health indicators. The confidence value was .88 and the open-ended questionnaire. Data were analyzed with descriptive statistics. Pearson's correlation analysis. Generate forecast equations using stepwise multiple regression analysis. The qualitative data used category and content analysis. The results showed that: 1) Most of the students had better mental health than the general population, 399 or 94.77 percent, followed by mental health equal to 20 people, or 4.75 percent, and the lowest mental health was lower than the general population. There were 2 people, representing .48 percent, respectively. 2) Internal variables that were positively correlated with mental health of the students were: 3rd year students of the Faculty of Education Student age variables It was found that the first year student variable of the faculty of nursing had a negative relationship with mental health better than the general population of the students. 3) The positive feeling from the teaching and learning management policy applied to students is have relieved stress feel more rested get more sleep being with family more time for other activities. You don't have to meet a lot of people, reducing your risk. Save on travel and living expenses feel more sympathetic to parents learn new things, be happy, and do not rush to wake up to study at the university. Study anywhere more time for hobbies, less traveling. And can wake up late. 4) The negative feelings from the teaching and learning policy applied to students were away from home, risk of contracting disease, not going out to do bird activities at shelter. Have to wear a mask all the time, get angry easily, unclear in some things. Tired of working, little free time, not eating and sleeping on time doing anything is more difficult when doing activities cannot be done to the fullest. Less time, anxiety and unprepared ness and rarely have friends.
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