• Title, Summary, Keyword: 메타분석

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A Bayesian Method to Semiparametric Hierarchical Selection Models (준모수적 계층적 선택모형에 대한 베이지안 방법)

  • 정윤식;장정훈
    • The Korean Journal of Applied Statistics
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    • v.14 no.1
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    • pp.161-175
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    • 2001
  • Meta-analysis refers to quantitative methods for combining results from independent studies in order to draw overall conclusions. Hierarchical models including selection models are introduced and shown to be useful in such Bayesian meta-analysis. Semiparametric hierarchical models are proposed using the Dirichlet process prior. These rich class of models combine the information of independent studies, allowing investigation of variability both between and within studies, and weight function. Here we investigate sensitivity of results to unobserved studies by considering a hierachical selection model with including unknown weight function and use Markov chain Monte Carlo methods to develop inference for the parameters of interest. Using Bayesian method, this model is used on a meta-analysis of twelve studies comparing the effectiveness of two different types of flouride, in preventing cavities. Clinical informative prior is assumed. Summaries and plots of model parameters are analyzed to address questions of interest.

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Meta-Analysis on the Effect of School Violence Intervention Program (학교폭력 예방 프로그램의 효과에 대한 메타분석)

  • Kim, Kyung-Hee
    • Journal of Digital Convergence
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    • v.14 no.10
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    • pp.33-43
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    • 2016
  • The purpose of this study was using a meta-analysis to estimate effect size of school violence prevention program. Using an objective and systematic method, meta-analysis has advantages that prove intervention's amount and direction. Meta-analysis facilitates comprehensive analysis. Through the data collection, 33studies were selected and 129 effect size were calculated as analysis objects. The overall effect size of school violence prevention program was 0.624. In the human characteristic, the affective domain had the largest effect size. Next were the physical domain, cognitive domain, the social domain and the complex domain. Analysis on age of participant, high grade elementary students group had the largest effect size. Next were the high school students, middle school students and the lower grade elementary students group. Analysis on intervention periods, tertiary prevention had a largest effect size. Next were secondary prevention and primary prevention. Based on the findings, implications for future study were discussed.

A Meta-Analysis of Relationship between Perceived Value, Risk and Behavioral Intention on E-Commerce (전자상거래 연구에서 인지된 가치, 위험 및 행위의도 간의 관계에 대한 메타분석)

  • Nam, Soo-tai;Jin, Chan-yong
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.4
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    • pp.179-189
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    • 2016
  • Recently, the convergence of knowledge based society and information telecommunication technologies has a rapid impact on politics, economics and various fields. Meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Meta-analysis, can see the direction and size of the relationship between variables using the concept of the effect size. The factor determining behavioral intention of consumer in e-commerce can say that critically dependent variable. In a predictive factor determining behavioral intention is typical that perceived value and perceived risk. We conducted a meta-analysis and review of between perceived value, perceived risk and behavioral intention on e-commerce researches. This study focused a total of 33 research papers that established causal relationships in between perceived value, risk and behavioral intention on e-commerce published in Korea academic journals during 2000 and 2016. The result of the meta-analysis might be summarized that the effect size in the path from the perceived value to the behavioral intention with the effect size (r = .526), listed an explanatory power of 28%. In addition, it showed that the effect size in the path from perceived risk to the behavioral intention with the effect size (r = -.220), listed a negative explanatory power of 5%. Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.

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Aspects of Meta-affect According to Mathematics Learning Achievement Level in Problem-Solving Processes (문제해결 과정에서의 수학 학습 성취 수준에 따른 메타정의의 기능적 특성 비교 분석)

  • Do, Joowon;Paik, Suckyoon
    • Journal of Elementary Mathematics Education in Korea
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    • v.22 no.2
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    • pp.143-159
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    • 2018
  • Since the mathematics learning achievement level is closely related to problem-solving ability, it is necessary to understand the relationship between problem-solving ability and meta-affect ability from the point of view of general mathematics learning ability. In this study, we compared the frequency analysis and the case analysis of the functional aspects of the meta-affect in elementary school students' problem-solving processes according to mathematics learning achievement level in parallel with frequency analysis and case analysis. In other words, the frequency of occurrence of meta-affect, the frequency of meta-affective type, and the frequency of meta-functional types of meta-affect were compared and analyzed according to the mathematics learning achievement level in the collaborative problem-solving activities of small group members with similar mathematics learning achievement level. In addition, we analyzed the representative cases of meta-affect by meta-functional types according to the mathematics learning achievement level in detail. As a result, meta-affect in problem-solving processes of the upper level group acted as relatively various types of meta-functions compared to the lower level group. And, the lower level group, the more affective factors acted in the problem-solving processes.

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An analysis of teaching-learning methods influencing on affective domain of programming learning (교수학습 방법이 프로그래밍 학습의 정의적 영역에 미치는 영향 분석)

  • Jeon, SeongKyun;Lee, YoungJun
    • Proceedings of the Korean Society of Computer Information Conference
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    • pp.179-180
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    • 2016
  • 2015 개정 교육과정에 따라 초등학교 및 중학교에 프로그래밍 교육이 필수로 도입된다. 그러나 과거 5차 교육과정에도 프로그래밍 교육이 도입되었지만 지속되지 못했다. 프로그래밍 교육이 지속 가능하기 위해서는 다양한 요인을 고려하여 프로그래밍 학습 환경을 설계해야한다. 특히 학생들의 흥미, 관심, 그리고 긍정적인 태도등의 정의적 요인을 고려하여 교수학습 방법을 적용하는 것이 중요하다. 본 연구는 학생들에게 프로그래밍 교육을 어떻게 가르치는 것이 정의적 영역에 긍정적인 영향을 주는지 다양한 프로그래밍 교육 연구를 메타 분석하여 시사점을 제시하고자 하였다. 이를 위해 학습자들이 프로그래밍 교육을 통해 얻은 정의적 영역의 교육 효과를 교수학습 방법별로 메타 분석하였다. 프로그래밍 교육과 관련하여 수집한 연구 논문은 메타 분석 방법에 따라 단계별로 연구 자료를 추출하고 선정하는 절차를 통해 분석하였다.

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Multivariate Meta-Analysis Methods of Comparing the Sensitivity and Specificity of Two Diagnostic Tests (두 진단검사의 비교에 대한 민감도와 특이도의 다변량 메타분석법)

  • Nam, Seon-Young;Song, Hae-Hiang
    • Communications for Statistical Applications and Methods
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    • v.18 no.1
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    • pp.57-69
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    • 2011
  • Researchers are continuously trying to find innovative diagnostic tests and published articles are accumulating at an enormous rate in many medical fields. Meta-analysis enables previously published study results to be reviewed and summarized; therefore, an objective assessment of diagnostic tests can be done with a meta-analysis of sensitivities and specificities. Data obtained by applying two diagnostic tests to a well-defined group of diseased patients produce a pair of sensitivity and by applying the same medical tests to a group of non-diseased subjects produce a pair of specificity. The statistical tests in the meta-analysis need to consider the correlatedness of the results from two diagnostic tests applied to the same diseased and non-diseased subjects. The associations between two diagnostic test results are often found to be unequal for the diseased and non-diseased subjects. In this paper, multivariate meta-analytic methods are studied by taking into account the different associations between correlated variables. On the basis of Monte Carlo simulations, we evaluate the performance of the multivariate meta-analysis methods proposed in this paper.

Meta-Analysis on the Effect of Self-Determination Group Program for Children with Disabilities (장애아동을 위한 자기결정 프로그램의 효과성에 관한 메타분석연구)

  • Park, Jung-Im
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.516-524
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    • 2017
  • This study was to examine the effectiveness of Self-Determination Group Program for children with disabilities in Korea by using method of meta-analysis. For the purpose of the study, master's theses, doctoral dissertations, and journal articles published in Korea up to June, 2017 were systematically reviewed. As a result, a total of 17 studies were eligible for the inclusion criteria. The mean effect sizes and test for homogeneity of effect size(Q-statistic) were analyzed by using Comprehensive Meta-Analysis software 2.0. The main findings of the study were as follows. First, the average effect sizes for Self-Determination Group Program were ES=1.695 of Self-Determination, ES= 1.316 of Social Skills. Second, the moderate variables of the effect size for Self-Determination Group Program was 'age' of 'a type of disability', 'sessions', 'the number of sessions within a week', 'time of one session' and 'a major of the director'. Based on the study results, the research and practice implications were discussed.

A Meta-Analysis on the Effect of Positive Psychology Group Program (긍정심리 집단프로그램의 효과성에 관한 메타분석연구)

  • Park, Jung-Im
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.205-213
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    • 2015
  • This study was to examine the effectiveness of Positive Psychology Group Program in Korea by using method of meta-analysis. For the purpose of the study, master's theses, doctoral dissertations, and journal articles published in Korea up to June, 2015 were systematically reviewed. As a result, a total of 26 studies were eligible for the inclusion criteria. The mean effect sizes and test for homogeneity of effect size(Q-statistic) were analyzed by using Comprehensive Meta-Analysis software 2.0. The main findings of the study were as follows. First, the average effect sizes for Positive Psychology Group Program were ES=2.078 of happiness, ES= 1.847 of psychological well-being, ES= 1.645 of positive affect, ES=1.407 of life satisfaction ES=1.289 of self-esteem and ES=-1.208 of depressive symptoms. Second, the moderate variables of the effect size for Positive Psychology Group Program was 'age' of 'psychological well-being' and 'depressive symptoms'. Based on the study results, the research and practice implications were discussed.

Effect of Laughter Therapy on Healthy Life: A Meta-analysis (웃음요법이 건강한 삶에 미치는 효과: 메타분석)

  • Hwang, Sung-Ho;Jeong, Hyeon-Cheol;Hwang, Ji-Won
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.291-299
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    • 2019
  • The purpose of this study is to identify the effects of laughter therapy on healthy life of human through meta-analysis of literature. Based on domestic and foreign academic databases, 495 foreign and 199 domestic literature were reviewed focusing on "quality of life," as the ultimate goal of health. The final seven literature were extracted. Analyses was performed in R version 3.5.1. Significant differences (SMD=0.23, p<0.01) were shown in the pre-post comparisons of experimental groups using the mean difference (effects size) analysis of the extracted samples. Significant results were not shown in meta regression analyses setting explanatory variables as 'treatment sessions and durations' and outcome variables as 'treatment effects of laughter therapy'. This study is meaningful in comparative analyses of pre-post experimental groups to establish 'laughter therapy' has a significant effect on improving 'quality of life' and is a useful intervention method, especially for older people, and older women with depression.

A Study on Unified Theory of Acceptance and Use of Technology(UTAUT) Improvement using Meta-Analysis: Focused on Analysis of Korea Citation Index(KCI)-Listed Researches (메타분석을 활용한 통합기술수용모형의 개선 연구: KCI 등재 논문 분석을 중심으로)

  • Hwang, Jeong-Seon;Lee, Hong Joo
    • The Journal of Bigdata
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    • v.2 no.2
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    • pp.47-56
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    • 2017
  • The UTAUT was presented as a comprehensive of eight existing theories to improve the limit of Technology Acceptance Model (TAM), and it has been also utilizing in various fields related to acceptance and diffusion of new technology. In this study, we analyzed factors utilized in UTAUT through meta-analysis, and confirms the consistency of the model. We presented the principal factors and the additional factors. Moreover, we presented differences and suggestions through comparative analysis with previous researches. The meta-analysis showed that satisfaction, hedonic motivation, attitude, perceived enjoyment showed a important factors as additional factors. Based on this result, we presented an extended UTAUT model. In the case of Korea studies, it was found that increasing the degree of behavior intention is the most important factor leading to use behavior. The results of this research will be able to support researchers who research the acceptance and diffusion of new technologies, and companies trying to launch new products.

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