• Korean Journal of School Psychology
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• v.17 no.2
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• pp.165-180
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• 2020

As a tiered system of supports, School-Wide Positive Behavior Support (SWPBS) is an evidence-based practice in the educational system of Korea. An important aspect of SWPBS is the ongoing progress monitoring and evaluation of implementation fidelity. This study aimed to develop and validate the Korean Tier 3 School-Wide Positive Behavior Support Implementation Fidelity Checklist (KT3-FC). The preliminary KT3-FC consisted of a 37-item, 6-factor checklist. In the first phase of the study, 10 experts reported that the range of content validity of the KT3-FC was adequate. In the second phase of the study, 185 teachers (52 men and 133 women) who implemented SWPBS completed the KT3-FC, Individualized Supports Questionnaire, School Climate Questionnaire, School Discipline Practice Scale, and PBS Effectiveness Scale. An exploratory factor analysis resulted in a 5-factor structure, with 20 items, instead of 37 items, consisting of: (a) progress monitoring and evaluation of the individualized supports, (b) provision of supports by aligning and integrating mental health and SWPBS, (c) crisis management planning, (d) problem behavior assessment, and (e) establishment of individualized support team. The internal consistency of the KT3-FC was good (full scale α = .950, sub-factor α = .888 ~ .954). In addition, the KT3-FC showed good convergent validity, having statistically significant correlations with the Individualized Support Questionnaire, School Climate Questionnaire, School Discipline Practice Scale, and the PBS Effectiveness Scale. Finally, the confirmatory factor analysis showed that the 5-factor model of the KT3-FC had some good model fits, indicating that the newly developed fidelity measure could be a reliable and valid tool to assess the implementation of Tier 3 supports in Korean schools. Accordingly, the KT3-FC could contribute to implement SWPBS as an evidence-based behavioral intervention for Korean students.

• Journal of Korean Home Economics Education Association
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• v.29 no.4
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• pp.149-159
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• 2017

The objective of this study was to investigate the effects of family meals on eating behavior, academic achievement, and quality of life among middle school students. A total of 302 participants were recruited from a middle school at Goyangsi. We asked participants about family meals, eating behavior, academic achievement, and quality of life, using structured questionnaires. Family meal questionnaires were classified according to frequency, rules, and awareness. The findings of this study were as follows. First, there were significant differences between rules(p<0.05) and awareness (p<0.05) of family meals and family type. Second, there were statistically significant differences between frequency and awareness of family meals and eating behavior, academic achievement, and quality of life. On the other hand, there was a significant difference between rules about family meals and eating behaviors and quality of life. Third, we found that factors of family meal were positively related to the eating behavior, academic achievement, and quality of life at the level of statistical significance. Finally, we found that participants with a higher frequency of family meals and more positive eating behavior were more likely to higher academic achievement and quality of life than those in lower frequency of family meals and less positive eating behavior among middle school students. The frequency of family meals has a strong effect on higher academic achievement and better quality of life. In conclusion, engagement in family meals was related to better eating behavior, academic achievement, and quality of life among middle school students. Our findings may warrant further studies to support the benefit of family meals in improving eating behavior, academic achievement, and quality of life among high school students as well as middle school students.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.292-309
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• 2016

The purpose of the present paper is to investigate the effects of stress and depression experienced by the first (1955-1964) and second (1968-1974) generations of baby boomers on their psychological well-being as well as the moderation effects of social supports for them. For this purpose, 369 who come under the category of the first- and second-generation baby boomers were selected by convenient sampling from among the participants in the programs of the life-long educational institutes in Seoul metropolitan area and questionnaires of self-administered type were distributed to them. Frequency analysis, t-test, ANOVA, correlation analysis and hierarchial regression analysis which used input of mean-centered variables and interaction term were conducted to determine the moderating effects of social supports based on the replies to the questionnaires. The major outcomes of the analyses could be summed up as follows: first, the stress and depression suffered by the first and second generations of baby boomers turned out to have negative (-) influence upon their psychological well-being; second, the social supports for those two generations were found to exercise positive (+) effects upon their psychological well-being; and third, a survey of difference in the moderating effects of social supports between the first- and second-generation baby boomers showed that, in case of the first generation, the worse their economic status and the higher their stress and depression were, the lower their psychological well-being tended to be and that social supports functioned to hike their psychological well-being but had moderating effects only in connection with stress. In case of the second generation, however, it was shown that the higher their stress and depression got, the lower their psychological well-being developed and that social supports might increase their psychological well-being but without any moderating effects on the part of relationship with their stress and depression. A practical and political method was discussed to improve baby boomers mental health.

• Journal of Nutrition and Health
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• v.48 no.6
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• pp.558-570
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• 2015

Purpose: The objective of this study is to investigate the work performances and the factors contributing to the work performance of nutrition teachers and school dieticians according to employment status in Daejeon and Chungcheongnamdo. Methods: A survey was conducted among 415 school dieticians from selected elementary, middle, and high schools in the area. This survey was used for analysis of the general characteristics and the status of working and foodservice environments. The frequency of occurrence was measured using the ${\chi}^2$-test while analysis of differences in work performance of 57 variables grouped according to 12 categories by mean ${\pm}$ SD was performed using student t-test. In addition, a regression analysis was performed to assess the influence of occupational (working and foodservice) environment on work performances. Results: All 14 environmental factors including general characteristics were different between nutrition teachers and school dieticians. In 12 of 57 variables there were significant differences in work performance between the two groups. When compared using average work performance, 5 domains showed significant difference in work performance between the two groups. These 5 domains were other works (T = 6.050), dietary habit guide (T = 4.789), menu (nutrition) management (T = 3.524), foodservice administration and evaluation (T = 2.757), and production and service management (T = 2.588). Overall, the work performances of nutrition teachers were comparably higher than those of school dietitians. A correlation analysis between occupational (working or foodservice) environments and work performances of the two groups showed that the work performances of nutrition teachers were influenced by the number of employees, number of students, meal frequency a day, annual salary, age, foodservice years of school, and school type. Conclusion: Meanwhile, the work performances of school dieticians were influenced by the number of students, number of employees, meal frequency a day, work hour, education level, age, school type, and service years as a dietitian.