scholarly journals The Effects of Sports Sponsorship: A Meta Analysis of Korean Research Findings

2016 ◽  
Vol 34 (2) ◽  
pp. 127-132
Author(s):  
CHOIJiHo ◽  
문연희
2018 ◽  
Vol 6 (2) ◽  
pp. 55-69
Author(s):  
Ghada Awada

Abstract The study was set to examine the differences between religion and religiosity and to explore how communities can be protected against religious violence. The study also intended to investigate the motives and the effect that religious violence has had throughout history. The study employed the qualitative research method whereby the researcher carried out a meta-analysis synthesis of different research findings to make conclusions and implications that could answer the study questions. Using the literature review they conducted, the researchers carried out data collection. As such, the researcher employed the bottom-up approach to identify the problem and the questions along with the investigation framework of what they decided to explore. The findings of the study revealed that religious backgrounds should be the cornerstone to realize the diff erence between religion and religiosity. Religion is of divine origin whereas religiosity is specifically a humanistic approach and a behavioral model. The religious violence phenomenon is formed by interlocking factors such as the interpretation of religious texts which clearly adopt thoughts and heritage full of violence camouflaged by religion. It is recommended that governments use a strong strategy employing the educational system, summits and dialogs to successfully overcome religious violence. The summits on religion should result in starting a dialog that ensures acceptance of the different religions.


1986 ◽  
Vol 20 (3) ◽  
pp. 384-385 ◽  
Author(s):  
A. F. Jorm

A meta-analysis of the literature on drug treatments for Alzheimer's disease revealed the following limitations in the dissemination of research findings: multiple publication of findings, failure to report basic descriptive statistics and failure to respond to written requests for additional information on the research. The possible reasons for these problems and remedies for them are discussed.


2004 ◽  
Vol 34 (5) ◽  
pp. 673 ◽  
Author(s):  
Dal Sook Kim ◽  
Weon Hee Moon ◽  
Seong Yoon Ahn ◽  
Hyun Sook Oh ◽  
Kyung Hee Kwon ◽  
...  

2018 ◽  
Vol 43 (1) ◽  
pp. 80-89 ◽  
Author(s):  
Noel A. Card

Longitudinal data are common and essential to understanding human development. This paper introduces an approach to synthesizing longitudinal research findings called lag as moderator meta-analysis (LAMMA). This approach capitalizes on between-study variability in time lags studied in order to identify the impact of lag on estimates of stability and longitudinal prediction. The paper introduces linear, nonlinear, and mixed-effects approaches to LAMMA, and presents an illustrative example (with syntax and annotated output available as online Supplementary Materials). Several extensions of the basic LAMMA are considered, including artifact correction, multiple effect sizes from studies, and incorporating age as a predictor. It is hoped that LAMMA provides a framework for synthesizing longitudinal data to promote greater accumulation of knowledge in developmental science.


2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 62-62
Author(s):  
Emma N Bermingham

Abstract In a world of the “Three Rs” (replace, reduce and refine), combined with more research published via open access research journals, there is increasing interest in the statistical analysis of existing literature. Meta-analysis – the combination of multiple studies, can be used to get better oversight into a specific question of interest. Additionally, it can be used to identify gaps in knowledge. For example, while there are a number of publications investigating energy requirements in adult cat and dog, few studies assess older animals. Similarly, in the dog, there is a lack of literature around dogs at the extremes of body size (i.e. giant and toy breeds). Herein, we describe several published examples that have been used to determine energy requirements of cats and dogs, and more recently, the impacts of diet on the microbiome of the cat and dog. This includes the use of Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, research findings and general findings related to research design and quality.


2020 ◽  
Vol 2 (12) ◽  
Author(s):  
Evangelos Danopoulos ◽  
Lauren Jenner ◽  
Maureen Twiddy ◽  
Jeanette M. Rotchell

Abstract Microplastics (MPs) are an emerging contaminant ubiquitous in the environment. There is growing concern regarding potential human health effects, a major human exposure route being dietary uptake. We have undertaken a systematic review (SR) and meta-analysis to identify all relevant research on MP contamination of salt intended for human consumption. Three thousand nine hundred and nineteen papers were identified, with ten fitting the inclusion criteria. A search of the databases MEDLINE, EMBASE and Web of Science, from launch date to September 2020, was conducted. MP contamination of salt varied significantly between four origins, sea salt 0–1674 MPs/kg, lake salt 8–462 MPs/kg, rock and well salt 0–204 MPs/kg. The majority of samples were found to be contaminated by MPs. Corresponding potential human exposures are estimated to be 0–6110 MPs per year (for all origins), confirming salt as a carrier of MPs. A bespoke risk of bias (RoB) assessment tool was used to appraise the quality of the studies, with studies demonstrating moderate to low RoB. These results suggest that a series of recurring issues need to be addressed in future research regarding sampling, analysis and reporting to improve confidence in research findings.


Author(s):  
Bernd Weiß ◽  
Michael Wagner

SummarySystematic research reviews have become essential in all empirical sciences. However, the validity of research syntheses is threatened by the fact that not all studies on a given topic can be summarized. Research reviews may suffer from missing data, and this is especially crucial in those cases where the selectivity of studies and their findings affects the summarized result. So-called publication bias is a type of missing data and a phenomenon that jeopardizes the validity of systematic or quantitative, as well as narrative, reviews. Publication bias exists if the preparation, submission or publication of research findings depend on characteristics of just these research results, e. g. their direction or statistical significance. This article describes methods to identify publication bias in the context of meta-analysis. It also reviews empirical studies on the prevalence of publication bias, especially in the social and economic sciences, where publication bias also seems to be prevalent. Several proposals to prevent publication bias are discussed.


1995 ◽  
Vol 10 (6) ◽  
pp. 236-240 ◽  
Author(s):  
Göran Arnqvist ◽  
David Wooster

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