39 research outputs found

    Differences in Self-reported and Peer nominated Aggression Groups in School Adjustment and Psychological Characteristics

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    The purpose of this research was to compare the distribution of aggressiveness levels in elementary, middle, and high school students and to explore whether there are differences in school adjustment, positive psychology, and negative psychology based on aggressiveness level groups. For this research purpose, three research questions were addressed. First, what is the distribution of aggressiveness level in elementary, middle, and high school students? Second, are there any differences in school adjustment, positive psychology, and negative psychology among school levels? Third, are there any interaction effects of aggressiveness level and school levels on school adjustment, positive psychology, and negative psychology? In this research study, data of 3179 participants was derived from 2017 ClassNet program data base. The results of this study are as follows: First, peer-nominated aggressive group and high aggressive group were significantly reduced in high school compared to elementary and middle school. Second, self-reported aggressive students perceived themselves negatively and had difficulties in school adjustment compared to non-aggressive students or peer-nomination aggressive students. Lastly, the results of the interaction analysis between aggressiveness level and school level showed an interaction effect in behavioral participation, morality, empathy, self-control, and negative emotion.์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์ž๊ธฐ๋ณด๊ณ ์™€ ๋˜๋ž˜์ง€๋ช…์„ ํ† ๋Œ€๋กœ ์ดˆ, ์ค‘, ๊ณ ๋“ฑํ•™์ƒ์˜ ๊ณต๊ฒฉ์„ฑ ์ˆ˜์ค€๋ณ„ ์œ ํ˜• ๋ถ„ํฌ๋ฅผ ๋น„๊ตํ•˜๊ณ , ์œ ํ˜•์— ๋”ฐ๋ฅธ ํ•™๊ต์ ์‘, ๊ธ์ • ๋ฐ ๋ถ€์ •์‹ฌ๋ฆฌ์— ์ฐจ์ด๊ฐ€ ์žˆ๋Š”์ง€๋ฅผ ํƒ์ƒ‰ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์—ฐ๊ตฌ๋ฌธ์ œ๋Š” ์ฒซ์งธ, ์ดˆ, ์ค‘, ๊ณ ๋“ฑํ•™์ƒ์˜ ๊ณต๊ฒฉ์„ฑ ์ˆ˜์ค€๋ณ„ ์œ ํ˜•๋ถ„ํฌ๋Š” ์–ด๋– ํ•œ๊ฐ€? ๋‘˜์งธ, ํ•™๊ต๊ธ‰๋ณ„๋กœ ๊ณต๊ฒฉ์„ฑ ์ˆ˜์ค€๋ณ„ ์œ ํ˜•์— ๋”ฐ๋ฅธ ํ•™๊ต์ ์‘, ๊ธ์ • ๋ฐ ๋ถ€์ •์‹ฌ๋ฆฌ์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ๋Š”๊ฐ€? ์…‹์งธ, ํ•™๊ต์ ์‘, ๊ธ์ • ๋ฐ ๋ถ€์ •์‹ฌ๋ฆฌ์— ๋Œ€ํ•œ ๊ณต๊ฒฉ์„ฑ ์ˆ˜์ค€๋ณ„ ์œ ํ˜•๊ณผ ํ•™๊ต๊ธ‰์˜ ์ƒํ˜ธ์ž‘์šฉ ํšจ๊ณผ๊ฐ€ ์žˆ๋Š”๊ฐ€? ์ด๋‹ค. 2017๋…„๋„์— ํด๋ž˜์Šค๋„ท ํ”„๋กœ๊ทธ๋žจ์— ํฌํ•จ๋œ ์ดˆ, ์ค‘, ๊ณ ๋“ฑํ•™๊ต ํ•™์ƒ 3,179๋ช…์˜ ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ•˜์˜€๊ณ , ์ฃผ์š” ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๋˜๋ž˜์ง€๋ช… ๊ณต๊ฒฉ์„ฑ์ง‘๋‹จ๊ณผ ๋†’์€ ๊ณต๊ฒฉ์„ฑ์ง‘๋‹จ์˜ ๋น„์œจ์ด ์ดˆ๋“ฑํ•™๊ต์™€ ์ค‘ํ•™๊ต์— ๋น„ํ•ด ๊ณ ๋“ฑํ•™๊ต์—์„œ ๊ฐ์†Œํ•˜์˜€๋‹ค. ๋ฐ˜๋ฉด ์ž๊ธฐ๋ณด๊ณ ์— ์˜ํ•ด ๊ณต๊ฒฉ์ ์ด๋ผ๊ณ  ํ™•์ธ๋œ ์ง‘๋‹จ ๋น„์œจ์€ ์ค‘ยท๊ณ ๋“ฑํ•™๊ต์—์„œ ์˜คํžˆ๋ ค ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋‘˜์งธ, ์ž์‹ ์„ ์Šค์Šค๋กœ ๊ณต๊ฒฉ์ ์ด๋ผ๊ณ  ์ƒ๊ฐํ•˜๋Š” ํ•™์ƒ๋“ค์ด ๋น„๊ณต๊ฒฉ์„ฑ์ง‘๋‹จ์ด๋‚˜ ๋˜๋ž˜์ง€๋ช… ๊ณต๊ฒฉ์„ฑ์ง‘๋‹จ์— ๋น„ํ•ด ๋Œ€์ฒด๋กœ ์ž์‹ ์— ๋Œ€ํ•ด ๋ถ€์ •์ ์œผ๋กœ ์ธ์‹ํ•˜๊ณ  ํ•™๊ต์ ์‘์—๋„ ๋ฌธ์ œ๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์…‹์งธ, ๊ณต๊ฒฉ์„ฑ ์ˆ˜์ค€๋ณ„ ์ง‘๋‹จ์œ ํ˜•๊ณผ ํ•™๊ต๊ธ‰์˜ ์ƒํ˜ธ์ž‘์šฉ๋ถ„์„๊ฒฐ๊ณผ, ํ–‰๋™์  ์ฐธ์—ฌ, ๋„๋•์„ฑ,๊ณต๊ฐ, ์ž๊ธฐ์กฐ์ ˆ, ๋ถ€์ •์ •์„œ์—์„œ ์ƒํ˜ธ์ž‘์šฉํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค.์ด ๋…ผ๋ฌธ์€ 2015๋…„ ๋Œ€ํ•œ๋ฏผ๊ตญ ๊ต์œก๋ถ€์™€ ํ•œ๊ตญ์—ฐ๊ตฌ์žฌ๋‹จ์˜ ์ง€์›์„ ๋ฐ›์•„ ์ˆ˜ํ–‰๋œ ์—ฐ๊ตฌ์ž„(NRF-2015S1A5A2A03049911

    Exploration of Student and School Factors Influencing on Bullying Victimization

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    ๋ณธ ์—ฐ๊ตฌ๋Š” ๋˜๋ž˜๋กœ๋ถ€ํ„ฐ ๊ดด๋กญํž˜์„ ๋‹นํ•˜๋Š” ํ•™์ƒ๊ณผ ๊ดด๋กญํž˜ ์ˆ˜์ค€์ด ๋†’์€ ํ•™๊ต์˜ ํŠน์„ฑ์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ๊ทธ ๋ชฉ์ ์ด ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ ์ „๊ตญ 243๊ฐœ๊ต ์ค‘ํ•™๊ต์™€ 47,017๋ช…(๋‚จํ•™์ƒ 55.0%) ์ค‘ํ•™์ƒ์„ ๋Œ€์ƒ์œผ๋กœ ๊ฑด๊ฐ•์‹คํƒœ์กฐ์‚ฌ ์ž๋ฃŒ์™€ ํ•™๊ต๊ณต์‹œ ์ง€ํ‘œ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋˜๋ž˜ ๊ดด๋กญํž˜ ํ”ผํ•ด ํ•™์ƒ๊ณผ ํ•™๊ต์— ๋Œ€ํ•œ ์ง‘๋‹จ์ฐจ์ด ๋ถ„์„๊ณผ ๋‹ค์ธต๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์ง‘๋‹จ ์ฐจ์ด ๋ถ„์„ ๊ฒฐ๊ณผ, ํ•™๋…„์ด ๋‚ฎ์„์ˆ˜๋ก, ๋‚จํ•™์ƒ์ผ์ˆ˜๋ก, ์ €์ฒด์ค‘์ด๋‚˜ ๊ณผ์ฒด์ค‘, ๋น„๋งŒ์ธ ๊ฒฝ์šฐ, ๋˜๋ž˜ ๊ดด๋กญํž˜ ํ”ผํ•ด ํ•™์ƒ์ด ๋  ํ™•๋ฅ ์ด ๋†’์•˜๋‹ค. ๋˜ํ•œ ์ „์ฒด ํ•™์ƒ ์ˆ˜๊ฐ€ ์ ๊ฑฐ๋‚˜, ๋‚จํ•™๊ต์ธ ๊ฒฝ์šฐ, ์ „์ถœํ•™์ƒ ๋น„์œจ์ด ๋†’๊ฑฐ๋‚˜, ๊ตญ์–ด ๊ธฐ์ดˆ๋ฏธ๋‹ฌํ•™์ƒ ๋น„์œจ์ด ๋†’์€ ํ•™๊ต์—์„œ ํ•™๊ต์ˆ˜์ค€์˜ ๋˜๋ž˜ ๊ดด๋กญํž˜ ํ”ผํ•ด๋น„์œจ์ด ๋†’์•˜๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฝํ–ฅ์€ ๋‹ค์ธต๋ถ„์„ ๊ฒฐ๊ณผ์—์„œ๋„ ํ™•์ธ๋˜์—ˆ๋‹ค. ํ•™ ๊ตํญ๋ ฅ์— ๊ด€ํ•œ ํ•™๊ต๊ณต์‹œ์ง€ํ‘œ๋Š” ํ•™๊ต ์ˆ˜์ค€์˜ ๋˜๋ž˜ ๊ดด๋กญํž˜ ํ”ผํ•ด๋ฅผ ์„ค๋ช…ํ•˜๋Š”๋ฐ ์œ ์˜ํ•œ ๊ด€๋ จ์ด ์—†์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ๋ฅผ ๊ธฐ์ดˆ๋กœ ๋˜๋ž˜ ๊ดด๋กญํž˜์„ ์ค„์ด๊ธฐ ์œ„ํ•œ ๊ต์œก์ •์ฑ…์— ๋Œ€ํ•œ ์‹œ์‚ฌ์ ์„ ๋…ผ์˜ํ•˜์˜€๋‹ค. The current research is aimed to better understand students whose are victimized by peers and schools where bullying occurs frequently. This research uses two nationally representative data sets comprising a total of 243 middle schools and 47,017 students (55.0% males): (a) The 2011 national health survey data; (b) The 2011 school information disclosure data. A series of t-tests and Hierachical Linear Modeling analysis were conducted so as to locate characteristics of victimized students and schools with frequent bullying. According to t-tests, students who were male, in lower grades or abnormally low- or high-weighted are more likely to be bully victims, while schools with a high ratio of victims had the following characteristics: male only schools, small number of students, high rates of student, or high rates of students with lowest levels of Korean scores. HLM analyses confirmed the student and school features mentioned above. Interestingly, several indicators related to school violence prevention and treatment did not play a role in explaining bullied students or schools with frequent bullying. Educational policies to reduce bullying were discussed based on the results

    The Effects of Perceived Popularity on Prosocial Behavior in Elementary School Students: The Moderating Effects of Social Connectivity and Hierarchy in the Peer Relationships

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    ๋ณธ ์—ฐ๊ตฌ๋Š” ํ•™์ƒ์˜ ์ง€๊ฐ๋œ ์ธ๊ธฐ์™€ ๊ต์‚ฌ-ํ•™์ƒ๊ด€๊ณ„, ํ•™๊ธ‰์˜ ๋˜๋ž˜๊ด€๊ณ„ ์—ฐ๊ฒฐ์„ฑ๊ณผ ์œ„๊ณ„์„ฑ์ด ์นœ์‚ฌํšŒ์  ํ–‰๋™์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํƒ์ƒ‰ํ•˜๊ณ , ์ง€๊ฐ๋œ ์ธ๊ธฐ์™€ ์นœ์‚ฌํšŒ์  ํ–‰๋™ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ํ•™๊ธ‰ ๋‚ด ๋˜๋ž˜๊ด€๊ณ„์˜ ์—ฐ๊ฒฐ์„ฑ๊ณผ ์œ„๊ณ„์„ฑ์ด ์กฐ์ ˆํ•˜๋Š”์ง€๋ฅผ ํƒ์ƒ‰ํ•˜๋Š” ๋ฐ ๊ทธ ๋ชฉ์ ์ด ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ ์ด 34ํ•™๊ธ‰ 943๋ช… ์ดˆ๋“ฑํ•™์ƒ(์—ฌํ•™์ƒ 47.8%)์„ ๋Œ€์ƒ์œผ๋กœ ๋˜๋ž˜์ง€๋ช…๊ณผ ์‚ฌํšŒ์—ฐ๊ฒฐ๋ง๋ถ„์„์„ ํ†ตํ•ด ๊ด€๋ จ ๋ณ€์ธ์„ ์ธก์ •ํ•˜์˜€๋‹ค. ํ•™์ƒ๊ณผ ํ•™๊ธ‰์˜ ์ˆ˜์ค€์„ ํฌํ•จํ•˜๋Š” ๋‹ค์ธต๋ถ„์„์„ ์‹ค์‹œํ•œ ๊ฒฐ๊ณผ, ๋‚จํ•™์ƒ๋ณด๋‹ค ์—ฌํ•™์ƒ์ด, ์ง€๊ฐ๋œ ์ธ๊ธฐ๊ฐ€ ๋†’์„์ˆ˜๋ก, ๋˜๋ž˜-๊ต์‚ฌ ๊ด€๊ณ„๊ฐ€ ๊ธ์ •์ ์ผ์ˆ˜๋ก ์ดˆ๋“ฑํ•™์ƒ์˜ ์นœ์‚ฌํšŒ์  ํ–‰๋™ ์ˆ˜์ค€์€ ๋†’์•˜๋‹ค. ๋˜ํ•œ ํ•™๊ธ‰ ๋‚ด ๋˜๋ž˜๊ด€๊ณ„ ์—ฐ๊ฒฐ์„ฑ์ด ๋†’์„์ˆ˜๋ก ๊ทธ๋ฆฌ๊ณ  ์œ„๊ณ„์„ฑ์ด ๋‚ฎ์„์ˆ˜๋ก, ์ดˆ๋“ฑํ•™์ƒ์˜ ์นœ์‚ฌํšŒ์  ํ–‰๋™์ˆ˜์ค€์€ ๋†’์•˜๋‹ค. ํŠนํžˆ ์ง€๊ฐ๋œ ์ธ๊ธฐ์™€ ์นœ์‚ฌํšŒ์  ํ–‰๋™์˜ ๊ด€๊ณ„๋ฅผ ํ•™๊ธ‰์˜ ๋˜๋ž˜๊ด€๊ณ„ ์—ฐ๊ฒฐ์„ฑ๊ณผ ์œ„๊ณ„์„ฑ์ด ์กฐ์ ˆํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜๋ž˜๊ด€๊ณ„์˜ ์—ฐ๊ฒฐ์„ฑ์ด ๋†’์€ ํ•™๊ธ‰์—์„œ๋Š” ์—ฐ๊ฒฐ์„ฑ์ด ๋‚ฎ์€ ํ•™๊ธ‰์— ๋น„ํ•ด ์ง€๊ฐ๋œ ์ธ๊ธฐ๊ฐ€ ๋†’์•„์ง์— ๋”ฐ๋ผ ์นœ์‚ฌํšŒ์  ํ–‰๋™์ด ๋” ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ์œ ์‚ฌํ•˜๊ฒŒ ๋˜๋ž˜๊ด€๊ณ„ ์œ„๊ณ„์„ฑ์ด ๋‚ฎ์€ ํ•™๊ธ‰์—์„œ๋Š” ์œ„๊ณ„์„ฑ์ด ๋†’์€ ํ•™๊ธ‰๋ณด๋‹ค ์ง€๊ฐ๋œ์ธ๊ธฐ๊ฐ€ ์นœ์‚ฌํšŒ์  ํ–‰๋™์„ ์ฆ๊ฐ€์‹œํ‚ค๋Š” ์ •๋„๊ฐ€ ๋” ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ํ•™๊ธ‰ ๊ตฌ์„ฑ์›์ด ์นœ์‚ฌํšŒ์  ํ–‰๋™์„ ๋ฐœํ˜„ํ•˜๋Š” ๋ฐ ์žˆ์–ด์„œ ํ•™๊ธ‰ ๋‚ด ๋˜๋ž˜ ์—ฐ๊ฒฐ๋ง์˜ ๊ตฌ์กฐ์  ํŠน์„ฑ์ด ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ์Œ์„ ๋ณด์—ฌ์ค€ ๊ฒƒ์œผ๋กœ, ํ•™๊ธ‰์˜ ๋˜๋ž˜๊ด€๊ณ„ ๊ฐœ์„ ์„ ์œ„ํ•œ ๊ต์‚ฌ์˜ ๊ฐœ์ž…๊ณผ ์ฒ˜๋ฐฉ์— ๊ด€ํ•œ ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•˜์˜€๋‹ค.In the current research, we explored the effect of perceived popularity, teacher-student relationship, peer network connectivity and hierarchy on prosocial behavior as well as the moderating effect of peer network connectivity and hierarchy. Using a sample of 943 elementary school students (female: 47.8%) in 34 classrooms, we measured relevant variables using peer nomination and social network analysis methods. The results of a multi-level analysis reflecting student and class levels showed that being female and having higher scores for perceived popularity and teacher-student relationship were positively associated with prosocial behavior. Prosocial behavior was also higher in classrooms with high peer network connectivity and low hierarchy. Peer network connectivity and hierarchy moderated the relationship between perceived popularity and prosocial behavior. Prosocial behaivor increased more rapidly according to perceived popularity in classrooms with high connectivity compared to those with low connectivity. Similarly, in classrooms with low hierarchy, prosocial behavior increased at a much higher rate than those with high hierarchy. The results demonstrate that structural characteristics of peer relationships can influences students prosocial behavior in the classroom. The researchers conclude with policy implications for teacher intervention and prescriptive measures for improvement of peer relationship in classrooms
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