scholarly journals Citizen adoption in e-Government systems A meta-analysis

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Meta Analysis ◽  
Empirical Studies ◽  
Electronic Government ◽  
Information Communication ◽  
Adoption Studies ◽  
Meta Analyses

Electronic Government (e-Government) refers to a system of information, communication and interaction between government and its citizens. E-Government adoption has been studied for more than a decade with several meta-analytic studies being produced in that time. This study is differentiated from prior meta-analyses as it splits the empirical studies into pre-adoption and post-adoption studies to allow a clearer model of e-Government. We found different determinants and distinct models for pre- and post-adoption of e-Government. In the two models (pre-adoption and post-adoption) trust is only related to pre-adoption studies. Originally, 98 studies were coded but with the focus on pre-adoption and post-adoption, 53 were used in the final models as they contained the attributes of interest.

Socioeconomic Status and Academic Outcomes in Developing Countries: A Meta-Analysis

2019 ◽  
Vol 89 (6) ◽  
pp. 875-916 ◽  
Author(s):  
Sung won Kim ◽  
Hyunsun Cho ◽  
Lois Y. Kim
Keyword(s):  
Socioeconomic Status ◽  
Developing Countries ◽  
Academic Outcomes ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Developed Countries ◽  
Industrialized Countries ◽  
And Gender ◽  
Meta Analyses ◽  
K 12

Despite the multiple meta-analyses documenting the association between socioeconomic status (SES) and achievement, none have examined this question outside of English-speaking industrialized countries. This study is the first meta-analytic effort, to the best of our knowledge, to focus on developing countries. Based on 49 empirical studies representing 38 countries, and a sample of 2,828,216 school-age students (grades K–12) published between 1990 and 2017, we found an overall weak relation between SES and academic outcomes. Results for attainment outcomes were stronger than achievement outcomes, and the effect size was stronger in more economically developed countries. The SES-academic outcome relation was further moderated by grade level and gender. There were no differences in the strength of the relation by specific SES measures of income/consumption, education, and wealth/home resources. Our results provide evidence that educational inequalities are wider in higher income countries, creating a serious challenge for developing countries as they expand school access.

Transparency of reporting in CALL meta-analyses between 2003 and 2015

ReCALL ◽  
2017 ◽  
Vol 30 (3) ◽  
pp. 253-277 ◽  
Author(s):  
Huifen Lin ◽  
Tsuiping Chen ◽  
Hsien-Chin Liou
Keyword(s):  
Language Learning ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Research Synthesis ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Conducting Research ◽  
Number Of Publications ◽  
Meta Analyses ◽  
Research Domain

AbstractSince its introduction by Glass in the 1970s, meta-analysis has become a widely accepted and the most preferred approach to conducting research synthesis. Overcoming the weaknesses commonly associated with traditional narrative review and vote counting, meta-analysis is a statistical method of systematically aggregating and analyzing empirical studies by following well-established procedures. The findings of a meta-analysis, when appropriately conducted, are able to inform important policy decisions and provide practical pedagogical suggestions. With the growing number of publications employing meta-analysis across a wide variety of disciplines, it has received criticism due to its inconsistent findings derived from multiple meta-analyses in the same research domain. These inconsistencies have arisen partly due to the alternatives available to meta-analysts in each major meta-analytic procedure. Researchers have therefore recommended transparent reporting on the decision-making for every essential judgment call so that the results across multiple meta-analyses become replicable, consistent, and interpretable. This research explored the degree to which meta-analyses in the computer-assisted language learning (CALL) discipline transparently reported their decisions in every critical step. To achieve this aim, we retrieved 15 eligible meta-analyses in CALL published between 2003 and 2015. Features of these meta-analyses were extracted based on a codebook modified from Cooper (2003) and Aytug, Rothstein, Zhou and Kern (2012). A transparency score of reporting was then calculated to examine the degree to which these meta-analyses are compliant with the norms of reporting as recommended in the literature. We then discuss the strengths and weaknesses of the methodologies and provide suggestions for conducting quality meta-analyses in this domain.

scholarly journals Global, regional and national estimates ofToxoplasma gondiiseroprevalence in pregnant women: a protocol for a systematic review and modelling analysis

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e030472 ◽  
Author(s):  
Jean Joel Bigna ◽  
Joel Noutakdie Tochie ◽  
Dahlia Noelle Tounouga ◽  
Anne Olive Bekolo ◽  
Nadia S Ymele ◽  
...  
Keyword(s):  
Public Health ◽  
Toxoplasma Gondii ◽  
Pregnant Women ◽  
Data Extraction ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Published Data ◽  
Representative Study ◽  
Nationally Representative ◽  
Meta Analyses

IntroductionTo set priorities for public health policy, funding for public health interventions, and healthcare planning which will ultimately contribute in bending the burden of toxoplasmosis towards maternal and neonatal health, it is necessary to have accurate data on the prevalence of toxoplasmosis in pregnancy. Therefore, we aimed to estimate the seroprevalence ofToxoplasma gondiiinfection in pregnant women by countries, WHO regions and globally.Methods and analysisWe will search multiple databases to identify studies that reported the prevalence (or enough data to compute this estimate) ofToxoplasma gondiiin the global population of pregnant women up till December 31, 2018 without any language restrictions. Study selection, data extraction and risk of bias assessment will be conducted independently by three pairs of investigators. For each country, we will estimate the prevalence based on empirical studies if there is either one nationally representative study, or two or more not nationally representative studies. Then, we will perform a country-specific random-effects meta-analyses. The heterogeneity will be evaluated using the χ² test on Cochrane’s Q statistic and quantified with H and I² statistics. For countries with one or no empirical studies or where the meta-analysis will result in a wide CI of 0%–100%, we will predict the country’s prevalence by using a Bayesian generalised non-linear multilevel model. The model will have a hierarchical structure in which estimates for each country will be informed by its own data, if available, or by data from other countries in the same WHO region.Ethics and disseminationSince this study will be based on published data, it does not require any ethical approval. Its findings will be published in a scientific peer-reviewed journal. They will also be presented at scientific conferences and to relevant public health sectors.PROSPERO registration numberCRD42019125572.

Weight- and meta-analysis of empirical literature on entrepreneurship

2017 ◽  
Vol 18 (3) ◽  
pp. 195-209 ◽  
Author(s):  
Adel Alferaih
Keyword(s):  
Empirical Research ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Entrepreneurial Intentions ◽  
Empirical Literature ◽  
Research Model ◽  
Entrepreneurship Research ◽  
Meta Analyses

While a number of studies have reviewed empirical research on individuals’ entrepreneurial intentions (EIs), very little is known about the cumulative performance of frequently used constructs and their direct and indirect relationships with EI. This research has exposed 123 usable empirical studies of EI to weight- and meta-analyses to determine the cumulative performance of various frequently explored relationships. A generic research model of the antecedents of EI is proposed on that basis. The outcomes of this research and its limitations have practical and theoretical implications for future entrepreneurship research.

scholarly journals Meta-analysis of Technical Efficiency in Selected Agricultural Sub-sectors: Implications for Policy Making in Developing Countries like Sri Lanka

2021 ◽  
pp. 42-57
Author(s):  
S. M. P. Senevirathne ◽  
M. H. S. M. Hettiarachchi ◽  
R. P. W. A. Dilrukshi ◽  
G.D. Kapila Kumara ◽  
A. D. Ampitiyawatta ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Developing World ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Policy Implications ◽  
Screening Process ◽  
Farmer Field Schools ◽  
The Government ◽  
Meta Analyses ◽  
Field Schools

Aims: To evaluate the technical efficiency (TE) in selected agricultural sub-sectors and to propose possible policy interventions to the government with the aim of reducing the poverty of farmers in the developing world. Study design: A meta-analysis based on empirical studies conducted by various scientists throughout the developing world. Methodology: Research articles for the meta-analysis were selected using a thorough screening process based on the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) concept. Selected 94 articles were sub-divided in to three main agriculture sub-sectors for detailed analysis; (a) paddy, other field crops-OFC and vegetables, (b) fruits, and (c) livestock. Mean TE of each crop or livestock type was calculated by averaging the TE values for a particular crop or livestock type across different studies included in this study. Results: TE data presented in the original articles showed a considerable dispersion within a given study. The highest mean TE was recorded in B-onion (0.83±0.15) whereas the lowest was recorded in maize (0.703±0.09) and in soybean (0.705±0.13). The TE of chili cultivation was 0.78 with the greatest variability (standard error of mean [SEM] 0.19) among the crops considered, which signifies the unpredictable nature of the chili cultivation. Mango was found to be the least technically efficient crop among the studied, with a mean TE of 0.596±0.11. Dairy, poultry and aquaculture farming operations were found to be highly technically efficient having mean TE values of 0.80±0.16, 0.89±0.02 and 0.88±0.08 respectively. Conclusion: Findings of this study will lead to several key policy implications including, improvement of the socioeconomic characteristics of farmers, implementation of farmer field schools (FFS) and establishment of a cautious and gradual strategy for expansion of the rural financial institutions.

Meta-Analysis in Health and Risk Messaging

2017 ◽  
Author(s):  
Simon Zebregs ◽  
Gert-Jan de Bruijn
Keyword(s):  
Meta Analysis ◽  
Empirical Studies ◽  
Research Synthesis ◽  
Basic Knowledge ◽  
Inclusion Criteria ◽  
Clear Cut ◽  
Analytical Research ◽  
Meta Analyses ◽  
Quality Assessments ◽  
Selection Of

Meta-analyses are becoming increasingly popular in the field of health and risk communication—meta-analyses allow for more precise estimations of the magnitude of effects and the robustness of those effects across empirical studies in a particular domain. Despite its popularity, most scholars are not trained in the basic methods involved with meta-analyses. There are advantages to meta-analysis in comparison to other forms of research synthesis. An overview of the methods involved in conducting and reporting meta-analytical research is helpful. However, the methods involved with meta-analyses are not as clear-cut as they may first appear. Numerous issues must be considered and various arbitrary decisions are required during the process. These issues and decisions relate to various topics such as inclusion criteria, the selection of sources, quality assessments for eligible studies, and publication bias. Basic knowledge of these issues and decisions is important for interpreting the outcomes of a meta-analysis correctly.

scholarly journals A Meta-Analysis of Mobile Phone Use and Presence

2020 ◽  
Vol 1 (2) ◽  
pp. 20-35
Author(s):  
John Courtright ◽  
SCOTT CAPLAN
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Interpersonal Interactions ◽  
Theoretical Interest ◽  
Mobile Phone Use ◽  
Negative Perceptions ◽  
Mere Presence ◽  
Meta Analyses

This research reports the results of two meta-analyses on 43 empirical studies that have investigated the effects of the presence and use of mobile phones during interpersonal interactions.  Six of these investigations focused on the “mere presence effect,” which asserts that the presence (but not use) of a mobile phone leads to more negative perceptions of one’s interactional partner.  The meta-analysis did not provide support for this effect.  Thirty-seven studies focused on the effects of “phone snubbing” (“phubbing”) which addresses the use of a mobile phone during interactions.  This second meta-analysis found a relatively robust effect which clearly leads to more negative perceptions by the non-using partner.  Although numerous potential moderators were examined, none of theoretical interest were found to moderate these effects.

Het kwantitatief integreren van empirische studies: de methode van meta-analyse

2006 ◽  
Vol 19 (3) ◽  
Author(s):  
Marise Ph. Born ◽  
Stefan T. Mol
Keyword(s):  
Meta Analysis ◽  
Research Question ◽  
Empirical Studies ◽  
Dominant Position ◽  
The Social ◽  
Research Findings ◽  
The Many ◽  
Quantitative Integration ◽  
Meta Analyses ◽  
Research Domain

Quantitatively integrating empirical studies: The method of meta-analysis Quantitatively integrating empirical studies: The method of meta-analysis Marise Ph. Born & Stefan T. Mol, Gedrag & Organisatie, Volume 19, September 2006, nr. 3, pp. 251-271 Meta-analysis is a quantitative integration of results of a series of empirical studies into a specific research question. The method of meta-analysis has obtained a dominant position in the social sciences and beyond, as it may help in obtaining an overview of the explosively increased number of research publications. This contribution discusses the basics and consecutive steps in performing a meta-analysis. A meta-analysis that we conducted on expatriates serves as an illustration. Next to the many points in favor of meta-analyses, such as having a better overview of a research domain and shifting the traditional focus on significances of effects to sizes of effects, several important controversies remain. One of these is the issue of waving away a specific cause of variance in research findings as a methodological artifact, or interpreting it as a meaningful case of variance. We maintain that every social or industrial- and organizational psychologist who wants to stay up-to-date scientifically should be able to interpret meta-analyses.

scholarly journals The Effects of Gamification on Computerized Cognitive Training: Systematic Review and Meta-Analysis

10.2196/18644 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e18644 ◽  
Author(s):  
Julie F Vermeir ◽  
Melanie J White ◽  
Daniel Johnson ◽  
Geert Crombez ◽  
Dimitri M L Van Ryckeghem
Keyword(s):  
Systematic Review ◽  
Cognitive Training ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Age Groups ◽  
Future Research ◽  
Computerized Cognitive Training ◽  
Meta Analyses ◽  
Game Elements ◽  
The Impact

Background There has been a growing interest in the application of gamification (ie, the use of game elements) to computerized cognitive training. The introduction of targeted gamification features to such tasks may increase motivation and engagement as well as improve intervention effects. However, it is possible that game elements can also have adverse effects on cognitive training (eg, be a distraction), which can outweigh their potential motivational benefits. So far, little is known about the effectiveness of such applications. Objective This study aims to conduct a systematic review and meta-analysis to investigate the effect of gamification on process outcomes (eg, motivation) and on changes in the training domain (eg, cognition), as well as to explore the role of potential moderators. Methods We searched PsycINFO, Cumulative Index to Nursing and Allied Health Literature, ProQuest Psychology, Web of Science, Scopus, PubMed, Science Direct, Excerpta Medica dataBASE, Institute of Electrical and Electronics Engineers Xplore, Association for Computing Machinery, and a range of gray-area literature databases. The searches included papers published between 2008 and 2018. Meta-analyses were performed using a random-effects model. Results The systematic review identified 49 studies, of which 9 randomized controlled trials were included in the meta-analysis. The results of the review indicated that research in this context is still developing and lacks well-controlled empirical studies. Gamification in cognitive training is applied to a large range of age groups and audiences and is mostly delivered at a research site through computers. Rewards and feedback continue to dominate the gamification landscape, whereas social-oriented features (eg, competition) are underused. The meta-analyses showed that gamified training tasks were more motivating/engaging (Hedges g=0.72) and more demanding/difficult (Hedges g=–0.52) than non- or less-gamified tasks, whereas no effects on the training domain were found. Furthermore, no variables moderated the impact of gamified training tasks. However, meta-analytic findings were limited due to a small number of studies. Conclusions Overall, this review provides an overview of the existing research in the domain and provides evidence for the effectiveness of gamification in improving motivation/engagement in the context of cognitive training. We discuss the shortcomings in the current literature and provide recommendations for future research.

Taking Stock: A Meta-Analysis of Work Engagement in the Hospitality and Tourism Context

2021 ◽  
pp. 109634802110669
Author(s):  
Pattamol Kanjanakan ◽  
Dan Zhu ◽  
Tin Doan ◽  
Peter B. Kim
Keyword(s):  
Systematic Review ◽  
Work Engagement ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Effect Sizes ◽  
Hospitality And Tourism ◽  
Meta Analyses ◽  
Practical Implications ◽  
Current Stage

Although a number of empirical studies on work engagement have been conducted in the context of hospitality and tourism, few efforts have been made to consolidate previous findings in this area. Hence, this article explores the current stage of work engagement studies and meta-analyses the relations of work engagement with its antecedents and outcomes in the hospitality and tourism context. Through a systematic review, 134 empirical studies (N = 43,043) published from 2008 to September 2020 were identified. Given that the findings include the trends within work engagement studies and the effect sizes and variabilities of associated relationships, this study contributes to the hospitality and tourism literature by providing a useful reference for future researchers. The findings are discussed in light of their theoretical and practical implications.

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