• Title/Summary/Keyword: Meta study

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A Research Trends for Domestic Public Design by Meta Analysis (국내 공공디자인 연구동향에 대한 메타분석)

  • Hwang, Mee-Young
    • Korean Institute of Interior Design Journal
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    • v.25 no.3
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    • pp.102-111
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    • 2016
  • There are various form of public elements in modern urban space. These public elements mingle with sociocultural elements which consist of each city, determining urban environment's image. Especially, since the social value of design becomes important, the social role of public design has been emphasized as an effective value for public interest and environment. It is just about 10 years since design mind in the public sector has been made domestically. Even though domestic public design has been studied not so long, it has developed with radical change of social culture and science technology. This study targets public environment in modern dense urban space. Also, it grasps the trend of public design studies through analysing and documentary survey of the existing studies, and based on that result, aims at presenting the direction that domestic public design studies should progress. This study selected 253 theses(1989.6~2015.11) by collecting primary, secondary data about public design studies, and implemented overall meta-analysing about the trend of domestic public design studies. As a result, public design has been studied intensively in the field of design about environment, architecture, etc. The trend analyzing of study purpose and keyword has a tendency which is weighted towards exploratory study focused on suggestion and development about object and realm of public design. The trend analyzing of study area tends to study overall part of public space or public facility rather than specific area and object. The most parts of studies analyze domestic area, especially Seoul metropolitan area. Also, the study method weighted in favor of some qualitative analysis has been utilized.

The Effect of Virtual Reality Programs on Upper Extremity Function in Stroke Patients : A Meta-Analysis (뇌졸중 환자의 가상현실 프로그램이 상지기능에 미치는 영향 : 메타분석)

  • Cho, Sung-Hyoun;Choi, Ki-Bok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.429-439
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    • 2020
  • This study examined the effect size of virtual reality programs on the upper extremity function of stroke patients through a meta-analysis. Databases, such as the Research Information Sharing Service, the Korean Studies Information Service System, the National Library of Korea, the Korean Citation Index, and the National Digital Science Library, were used. Previous articles were surveyed for virtual reality programs between January 2010 and June 2019. A meta-analysis was performed by selecting the final 14 studies based on the PICO standard. The RoB and RoBANS tools were used as quality assessment tools for randomized and non-randomized control trials, respectively. The CMA 3.0 program was used to calculate the effect size of each study. Sub-group analysis, meta-regression analysis, and publication bias were performed. The total effect size of the virtual reality programs on the upper extremity function was Hedges's g=0.390 (95% CI: 0.192~0.587) (p<.05). The virtual reality program positively affects the upper extremity function of stroke patients. Therefore, the development of various virtual reality programs and industry-academia cooperation technology for stroke patients is required in accordance with the fourth industry. Randomized control trials and detailed upper extremity function studies for virtual reality programs will be needed in follow-up studies.

A Meta-regression Analysis of the Variables Associated with the Job Satisfaction of Kindergarten Teachers (유치원교사의 직무만족과 관련된 변인에 대한 메타회귀분석)

  • Moon, Dong-Kyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.12
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    • pp.242-252
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    • 2016
  • This study seeks to verify the effect size of the variables relating to job satisfaction through a meta-analysis focusing on previous papers over the last 20 years that have examined the job satisfaction of kindergarten teachers and verified the trend by publication year through a meta-regression analysis. The study results are as follows. First, the results demonstrated that the total effect size of the variables relating to kindergarten teachers was large. Second, the organization's internal variable and organization's external variable groups, except for the individual characteristics variable group, showed a large effect size at similar levels. Third, the status of teachers in the individual characteristics variable group showed a meaningfully large effect size and the interpersonal relationship variable in organization's internal variable group showed a relatively larger effect size than the organizational climate variable did. Finally, the results of the verification of the trend by publication year showed that job satisfaction increased for all variables, except for the individual characteristics variable in more recent publications. This study highlights the imperative of making every effort to improve the organization's internal and external environment. In particular, measures to reduce job stress and work load are required. Furthermore, the atmosphere that is devoted to the teaching profession and teacher efficacy is important.

The Effect of Cooperative Learning and Peer Tutoring Program on Cognitive Domain and Affective Domain : A Meta-Analysis (협동학습 및 또래교수 프로그램이 수학학습부진학생의 인지적.정의적 영역에 미치는 효과 메타분석)

  • Lee, Hyeung Ju;Ko, Ho Kyung
    • Journal of Educational Research in Mathematics
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    • v.25 no.1
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    • pp.113-137
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    • 2015
  • The objective of the present study is to systematically examine the effects of on the cognitive and affective domains of elementary, middle, and high school students by conducting a meta-analysis. To this end, this study selected 31 research papers that had analyzed the effects of applying, and performed a meta-analysis of the findings presented in each research paper. The results obtained from the meta-analysis are presented as follows. First, both the collaborative learning program and the peer tutoring program for underachieving students in math manifested an above average size of effect in the cognitive domain. In particular, the effect was the greatest at the elementary school level, and out of the two programs, peer tutoring was identified to have a sizable effect. Second, both programs displayed an above average size of effect in the affective domain, and peer tutoring was identified to have a higher effect than collaborative learning. In addition, when the programs were compared based on school levels, the size of effect was highest at the elementary school level followed by middle school and high school, in that order. When compared based on the criteria of the affective domain, self-efficacy in math, learners' attitude toward math, and learners' interest in math were identified to. Finally, this study presented suggestions for teaching underachieving students in math and conducting follow-up studies based on the analysis results.

A Meta-Analysis of Influencing Factors on Purchase Intention in Social Network Service Environment Utilized Big Data Analysis (빅 데이터 분석을 활용한 소셜 네트워크 서비스 환경에서 구매의도에 관한 메타분석)

  • Nam, Soo-tai;Jin, Chan-yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.2
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    • pp.408-414
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    • 2016
  • This study will find meaningful independent variables for criterion variables that affect influencing on purchase intention in social network service, on the basis of the results of a meta-analysis. We reviewed a total of 29 studies related purchase intention in social network service published in Korea journals between 2005 and 2015, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study. The result of the meta-analysis might be summarized that the highest effect size (r = .455) is the path from the satisfaction to the purchase intention. The second biggest effect size (r = .398) was found in the path between the word of mouth to the purchase intention. Next, the effect size (r = .386) in the path from the trust to the purchase intention showed very lower. Finally, the result of the meta analysis can be concluded that lower effect size (r = .342) Further, the predictive variables of this study have power of explanation about 22%-12% or more. Based on these findings, several theoretical and practical implications were suggested and discussed.

Meta-Analysis Study on the Correlation Between School and Domestic Violence (가정폭력과 학교폭력 피해와의 상관관계 메타분석 연구)

  • Go, Eun Joo;Zang, Young Suk;Kim, Ko Eun
    • Korean Journal of Child Education & Care
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    • v.19 no.3
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    • pp.1-12
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    • 2019
  • Objective: This study aims to thoroughly analyze the correlation effect size between domestic violence and school violence by meta-analyzing previous studies on the correlation between school and domestic violence. Methods: For this purpose, meta-analysis was performed on the selected research material, which consists of national research data collected from various databases from 2001 to April, 2019. 16 thesis and 9 papers on the correlation between school and domestic violence were selected. A random effect model analysis based on the homogeneity examination results was performed on the selected data. Results: The results showed, just as Cohen (1977) proposed, that the correlation effect size between domestic and school violence was 0.25, which is moderate. This is a somewhat lower number than the previous studies on the same subject presented. Of the sub-categories of domestic violence, physical violence and psychological violence appeared to have a correlation effect size of 0.34 and 0.28, respectively, with physical violence showing the highest correlation effect size. Of the types of domestic violence, witnessing spouse violence and experiencing neglect appeared to have a moderate correlation size effect of 0.24. All of these results were statistically significant. Conclusion/Implications: This study utilized meta-analysis as a comprehensive and systematic method to analyze the correlation effect between domestic and school violence. The results presented may lead to discussions on the subject's social implications, limits, and propositions for future studies.

Meta-analysis of the effects of Lavender Aromatherapy on pain (라벤더향기요법이 통증에 미치는 효과에 대한 메타분석)

  • Park, Yang-Sook;Lee, Mi-Kyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.5
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    • pp.300-310
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    • 2019
  • This study is a systematic review of randomized experimental and non-randomized studies on the effects of lavender scent therapy on pain and a meta-analysis to provide evidence-based data. The data included in the meta-analysis are 18 studies published from 2000 to 2018, with interventional subjects being surgical, maternal, arthritis and dialysis patients, and the types of interventions were massage, application, hot-pack, and taking medication. RESULTS: The effect size (Hedges' g) for pain was -0.16 [95% CI:-1.40: -0.72], which was statistically significant. The effect size according to intervention type was -1.36 [95% CI: -1.96, -0.77], local application -1.11 [95% CI:-1.57-0.66], inhalation -1.05 [95% CI:-1.54, -0.56 ], and massage -0.92 [95% CI:-1.62, -0.23], all of which were statistically significant. To explore the possible causes of heterogeneity ($I^2=88%$), meta-ANOVA was conducted with covariates of intervention type or study design, and the results revealed it was statistically insignificant (intervention type Q=0.25, df=3, p=.968, study design Q=0.22, df=1, p=.642).

Comparison between Machine Learning and Traditional Tecnique for Suicide Prediction based on Meta-analysis (메타분석에 기반한 자살 예측 연구에서 전통적 통계 기법과 머신러닝 기반 접근법의 예측력 비교)

  • Hyeokjun Kwon;Jonghan Sea
    • Korean Journal of Culture and Social Issue
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    • v.30 no.3
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    • pp.239-265
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    • 2024
  • The purpose of this study was to compare the predictive accuracy of traditional prediction models (methods) and machine learning algorithms in predicting suicidal behaviors. The research aimed to go beyond a systematic review level and scientifically examine the predictive capabilities of these two techniques through meta-analysis, analyzing variables identified through domestic research, particularly at the regional level. In order to achieve this, a total of 124 studies, including 50 studies utilizing machine learning and 74 studies employing traditional methods, were included in the meta-analysis. The results of the study revealed that the integrated area under the curve (AUC) for studies using traditional methods was .770, which was lower than the integrated AUC value of .853 for studies using machine learning. Particularly, studies conducted in Asia (AUC = .944) demonstrated higher accuracy compared to studies in Western countries (AUC = .820) and Korea (AUC = .864). Additional analysis of the moderating effects in domestic research indicated that a higher proportion of males and the prediction of suicide attempts were associated with higher prediction accuracy. On the other hand, prediction accuracy was lower when the prediction target was suicide deaths and when studies utilized neural network analysis. This study synthesized various research findings on the prediction of suicidal behaviors, verified the effectiveness of prediction using machine learning, and holds significance in exploring variables applicable in the context of South Korea.

Analysis on Hypothesis-generating Ability of Elementary School Gifted Students in Science and Its Correlation with Meta-cognition (초등과학영재의 가설설정 능력과 메타인지와의 관계 분석)

  • Park, Mijin;Seo, Hae-Ae
    • Journal of Gifted/Talented Education
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    • v.25 no.1
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    • pp.59-76
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    • 2015
  • The study aimed to investigate elementary school gifted students' hypothesis-generating ability and characteristics of hypotheses and to analyze the correlation between hypothesis-generating ability and meta-cognition. Nineteen students enrolled in a science gifted education center affiliated with a university in 2013 were selected as research subjects. An instrument of open ended items about hypothesis generating was developed and administered to students, and their meta-cognition as well as their preferred science teaching method were examined. Hypotheses generated by students were classified into two categories: scientific and non-scientific hypotheses, and then a closer analysis was conducted on characteristics of non-scientific hypotheses. It was found that 47% (18 out of 38 hypotheses) was scientific ones showing that elementary school gifted students in science in this study presented low level of ability in generating hypothesis. It was also found that non-scientific hypotheses frequently showed characteristics of uncertain in causality or impossible to verify relationships. Furthermore, differences in hypothesis-generating ability and characteristics of hypotheses were appeared in conditions whether inquiry questions and variable identification process were given or not. Students showed high abilities in hypothesis generating and variable identifying when inquiry questions and variable identification process were given. Compared to previous research results, students in the study showed high level of meta-cognition and tendency of utilizing monitoring strategy more than planning and regulating. In ill-structured conditions that students themselves find inquiry questions and identify variables, a significant (p<.05) correlation appeared between hypothesis generating ability and meta-cognition and a high level of correlation between planning and regulating strategies. It was also found that differences existed in hypothesis-generating ability and preferred science teaching methods between students with high level and those with low level of meta-cognition; and students with low level of meta cognition showed difficulties in generating hypothesis and identifying variables.

The effects of virtual reality training on gait, balance, and upper extremity function in patients with stroke: A meta-analysis

  • Lee, Hyun soo;Kim, You Lim;Lee, Hae ji;Lee, Byounghee
    • Journal of Korean Physical Therapy Science
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    • v.28 no.3
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    • pp.11-29
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    • 2021
  • Background: The purpose of this study is to investigate the effects of virtual reality on gait, balance, and upper extremity functions compared to other independent variables or no variables. Additionally, the possibility of virtual reality for stroke patients was discussed. Design: Meta-analysis. Methods: The search for this study was a search term that combined stroke, virtual reality, and training, and the electronic search was conducted through EMBASE, MEDLINE, and Cochrane Library. As a result of the search, 21 studies satisfying the selection criteria of the target study were confirmed as the final analysis target. This study consisted of 21 randomized experimental studies and 21 randomized controlled trials, and the total number of participants was 642. [Experimental group (n=314), control group (n=328); total 642]. As a result of the study, upper extremity function was assessed using a box and block test, a modified Ashworth scale, and a scale including range of motion. The balance was evaluated by the berg balance scale. Gait was a Timed Up and Go test (TUG), stride length, and gait function. Scales including a walking rate scale were evaluated. The effect size for the intervention of the analytical study was meta-analyzed with the RevMan 5.3.3 program of the Cochrane library. Results: The results of the study showed that the function of walking was statistically significant. Balance showed statistically significant results. The upper extremity function showed no statistically significant results. Conclusion: Through this rehabilitation treatment by applying virtual reality environment to the rehabilitation of stroke patients in the future can be proposed as an effective intervention method for the balance and gait function of stroke patients.