• Title/Summary/Keyword: Meta-Research

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Research on the effectiveness of virtual reality technology in China's educational applications Based on 23 experimental and quasi-experimental meta-analyses (가상현실기술의 중국내 교육적 활용효과에 관한 연구 - 23개 실험과 준실험 메타분석에 기초)

  • Huang, Guan;Min, Byung-Won
    • Journal of Internet of Things and Convergence
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    • v.8 no.6
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    • pp.1-13
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    • 2022
  • The Paper Using the meta-analysis research method, first through literature retrieval to obtain 23 relevant empirical studies in China, and then using Review Manager for quantitative analysis, it is found that VR technology has a positive impact on students' overall learning effect and VR technology has a significant positive impact on all dimensions of learning effect (theoretical performance, operational performance, learning motivation, learning interest, learning attitude). There is no significant difference between the dimensions. Significant differences were found for moderating variables such as Discipline types, Teaching Length, and Teaching Method. No significant differences were found for the Academic segments and VR technology types.

Effectiveness of Electroacupuncture in Patients with Chronic Fatigue Syndrome: A Systematic Review and Meta-analysis

  • Yang, Jaewoo;Shin, Donghoon;Oh, Jihoon;Lim, Jinwoong
    • Journal of Acupuncture Research
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    • v.39 no.3
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    • pp.170-181
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    • 2022
  • This review evaluated the efficacy of electroacupuncture (EA) for chronic fatigue syndrome. Randomized controlled trials (RCTs) using EA as an intervention for patients with chronic fatigue syndrome were identified in 6 databases (PUBMED, EMBASE, CNKI, J-STAGE, KMBASE, OASIS). Fatigue indicators were used as the primary outcome measures. The quality-of-life index, efficiency rate, and level of pain were used as secondary outcome measures. There were 408 patients from seven RCTs included in this study. Meta-analysis showed that EA was significantly associated with fatigue relief compared with the control group (n = 141 SMD = -1.55, 95% CI; -2.58 - -0.52, p = 0.003, I2 = 92%). In addition, EA had a statistically significant improvement in quality of life compared with the control group (n = 176, SMD = -2.29, 95% CI; -3.68 - -0.90, p = 0.001, I2 = 96%). One study reported ten cases of bleeding, however, no serious adverse events were reported in any of the included studies. This review determined that EA may have a greater clinical effect than the control group for fatigue relief and improved quality of life. However, there were several risks of bias identified. Not all of the RCTs accurately reported the research method, all studies were conducted in 1 country (China), and the number of studies included were small.

Effects of Health Education Using Virtual Reality for Adolescents: A Systematic Review and Meta-Analysis

  • Park, SoMi;Chung, ChaeWeon;Kim, Gaeun
    • Journal of Korean Academy of Nursing
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    • v.53 no.2
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    • pp.177-190
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    • 2023
  • Purpose: This study aimed to evaluate the effects of health interventions using virtual reality (VR) on improving knowledge, attitudes, and skills; and inducing behavioral change among adolescents. Methods: This study is a systematic review and meta-analysis following PRISMA guidelines. We searched Cochrane, MEDLINE, Embase, CINAHL, Scopus, Web of Science, and Korean databases between database inception and April 10, 2021. Based on heterogeneity, a random- or fixed-effects model was used, as appropriate, to calculate effect sizes in terms of the standardized mean difference (SMD) and odds ratio (OR). Studies were selected if they verified the effects of health education using VR on adolescents; there was an appropriate control group; and if the effects of education were reported in terms of changes in knowledge, attitudes, skills, or behaviors. Results: This analysis included six studies (n = 1,086). The intervention groups showed greater responses in knowledge and attitudes (SMD = 0.57, 95% confidence interval (CI) [0.12 to 1.02]), skills related to health behavior (SMD = - 0.45, 95% CI [- 0.71 to - 0.19]), and behavioral change after 12 months (OR = 2.36, 95% CI [1.03 to 5.41]). Conclusion: The results confirm the effectiveness of health interventions using virtual reality (VR). Although the analysis include a small number of studies, a case can be made for health interventions using VR to be utilized as educational methods and strategies to prevent risky behaviors among adolescents.

Effectiveness of Acupuncture for Laryngopharyngeal Reflux Disease: A Systematic Review and Meta-Analysis

  • Jihun Oh;Jaewoo Yang;Jungmin Yang;Minsoo Kang;Sukyoung Kim;Minjun Lee;Jinwoong Lim
    • Journal of Acupuncture Research
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    • v.40 no.3
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    • pp.188-200
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    • 2023
  • Laryngopharyngeal reflux (LPR) disease is a condition in which the stomach contents return to the larynx and pharynx via the esophagus, causing mucosal injury. While conventional treatments, such as proton pump inhibitors, have limitations, acupuncture has been shown to reduce LPR symptoms. However, its effectiveness has not been systematically assessed. This study aimed to systematically evaluate the effectiveness of acupuncture in treating LPR. We review 10 electronic databases with a consistent search strategy, and 2 independent reviewers screened the articles based on the inclusion and exclusion criteria. This study selected and analyzed 7 randomized controlled trials after the screening to assess primary outcomes, including reflux symptom index and reflux finding score, and secondary outcomes, including upper and lower esophageal sphincter pressure. The results revealed the statistically significant effectiveness of acupuncture in combination with conventional treatment in reducing LPR symptoms compared with conventional treatment alone. The most commonly used acupuncture points were CV22, ST36, and LR3. However, the meta-analysis demonstrated low reliability, as assessed using the GRADE Tool. Further research is needed to improve the evidence and draw clear conclusions regarding the clinical use of acupuncture for treating LPR.

A meta-analysis survey of the research on domestic e-banking (국내 전자금융 연구동향에 대한 메타분석)

  • Yoo, Soon-Duck;Choi, Kwang-Don
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.175-189
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    • 2015
  • As issues of Fintech(Financial technology) emerge, research on electronic banking is growing and garnering much attention in the market. This study analyzed 184 studies on e-banking over 15 years, from 2000 to 2014. Using meta-analysis, the paper draws attentions to the trends in domestic electronic banking studies. Interest peaked in 2008, when 28 papers were published and 35 theses in Information Security and Cryptology were announced. This research focus emphasizes the impact of e-banking services, technology and infrastructure, and laws and regulations on society. Electronic payment systems are a focal point of research on technology and infrastructure. Research on the e-finance market have influenced studies on the financial progress and other social issues. Benefits of this research include a better understanding of the trends in electronic banking studies and its influence on related fields, as well as help electronic banking-related policies and technology research.

A Study on the Management and Services of Web Resources in Policy Research Institutes (정책연구기관의 웹자원 관리와 서비스 제공 방안에 관한 연구)

  • Lee, Myeong-Hee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.27 no.2
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    • pp.171-191
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    • 2016
  • This research was examined to evaluate whether the websites of 6 policy research institutes provide web resources which were collected and provided as information resources, and that they were sure that the web resources had value as policy information by content analysis method. Web resources provided as policy information in policy research institutes were classified into and evaluated by 4 categories. Evaluation had been conducted on 10 items in the 4 categories of content, design, accessibility and meta data. From the result, the information content have been found to be reliable and up-to-date although more thorough description is required. Navigation and the search function in the design category were found to be excellent, but dead links were present in all of the institutions. The accessibility was proven to be great as it was able to access information with only three clicks. However, it has been found that a comprehensive review of the meta data is required in order to improve the accuracy of search functions. In conclusion, improvements to the dead link problems, quality control of the meta data, systematic and professional management plan of policy research information, and the establishment of a comprehensive policy research information portal system have been proposed.

A Study on the Philosophical Analysis Model and its Methodological Application of Information Systems Research.Evaluation - A Critical Realist Approach - (정보체계 탐구.평가의 철학적 분석 모델과 그 방법론적 활용: 비판 실재론적 접근)

  • Ko, Chang-Taek
    • The Journal of Information Systems
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    • v.16 no.4
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    • pp.131-155
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    • 2007
  • The purpose of this thesis is to study on the philosophical analysis model and its methodological application of information systems research evaluation from critical realist perspective. Fist of all, I examine ontological epistemological methodological assertions of critical realism. Because the philosophy of critical realism is an opportunity for information systems study. I examine Dobson and Mutch's critical realist perspective on actors-structure model. I suggest a critical realist actors-praxis-structure model. This model provides the potential for a new approach to social investigations in its provision of an ontology for the analytical separation of structure and agency. Of most importance might be the incorporation of non-humans into the analysis of social interaction and of technology into the elaboration of structures. I also examine Tsoukas's critical realistic meta-theory of management. I suggest a critical realist IS management model. This model elucidate the nature of management and delineate the scope of applicability of various perspectives on management. The causal powers of management reside in the real domain and, taken together, their logics are contradictory, the effects of their contradictory composition are contingent upon prevailing contingencies. I analyze Carlsson's theory of design knowledge. His framework builds on that the aim of IS design science research is to develop practical knowledge for the design and realization of different classes of IS initiatives, where IS are viewed as socio-technical systems and not just IT artefacts. The framework proposes that the output of IS design science research is practical IS design knowledge in the form of field-tested and grounded technological rules. The IS design knowledge is developed through an IS design science research cycle. In conclusion, I think that IS actors-praxis-structure model, meta-theoretical IS management model, and IS design knowledge model according to critical realistic approach are very useful for IS research evaluation. Nevertheless, important problems are left not resolved.

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The efficacy of GABAergic precursor cells transplantation in alleviating neuropathic pain in animal models: a systematic review and meta-analysis

  • Askarian-Amiri, Shaghayegh;Maleki, Solmaz Nasseri;Alavi, Seyedeh Niloufar Rafiei;Neishaboori, Arian Madani;Toloui, Amirmohammad;Gubari, Mohammed I.M.;Sarveazad, Arash;Hosseini, Mostafa;Yousefifard, Mahmoud
    • The Korean Journal of Pain
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    • v.35 no.1
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    • pp.43-58
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    • 2022
  • Background: Current therapies are quite unsuccessful in the management of neuropathic pain. Therefore, considering the inhibitory characteristics of GABA mediators, the present systematic review and meta-analysis aimed to determine the efficacy of GABAergic neural precursor cells on neuropathic pain management. Methods: Search was conducted on Medline, Embase, Scopus, and Web of Science databases. A search strategy was designed based on the keywords related to GABAergic cells combined with neuropathic pain. The outcomes were allodynia and hyperalgesia. The results were reported as a pooled standardized mean difference (SMD) with a 95% confidence interval (95% CI). Results: Data of 13 studies were analyzed in the present meta-analysis. The results showed that administration of GABAergic cells improved allodynia (SMD = 1.79; 95% CI: 0.87, 271; P < 0.001) and hyperalgesia (SMD = 1.29; 95% CI: 0.26, 2.32; P = 0.019). Moreover, the analyses demonstrated that the efficacy of GABAergic cells in the management of allodynia and hyperalgesia is only observed in rats. Also, only genetically modified cells are effective in improving both of allodynia, and hyperalgesia. Conclusions: A moderate level of pre-clinical evidence showed that transplantation of genetically-modified GABAergic cells is effective in the management of neuropathic pain. However, it seems that the transplantation efficacy of these cells is only statistically significant in improving pain symptoms in rats. Hence, caution should be exercised regarding the generalizability and the translation of the findings from rats and mice studies to large animal studies and clinical trials.

A Meta-analysis on the Behavioral Intention for Information Technology in Korea (우리나라 정보기술의 행위의도에 관한 메타분석)

  • Nam, Soo-Tai;Kim, Do-Goan;Lee, Hyun-Chang;Shin, Seong-Yoon;Jin, Chan-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.11
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    • pp.2581-2587
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    • 2013
  • A Meta-analysis is a statistical literature synthesis method that provides the opportunity to view the research context by combining and analyzing the quantitative results of many empirical studies. We conducted a Meta-analysis research on the behavioral intention of information technology based on the theory of planned behavior. This study was targeted a total of 36 research papers that are setting up the causal relationship in the theory of planned behavior among the research papers published in domestic academic journals before 2013. The result of the Meta-analysis, showed that the effect size was 0.571 in the path from attitude toward behavior to behavioral intention, it showed that the effect size was 0.381 in the path from subjective norm to behavioral intention. And, it showed that the effect size was 0.481 in the path from perceived behavioral control to behavioral Intention. Also, it showed that the effect size was 0.421 in the path from behavioral Intention to behavior.

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.