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.

A meta-analysis of empirical e-government research and its future research implications

2016 ◽  
Vol 84 (1) ◽  
pp. 144-163 ◽  
Author(s):  
Bernd W. Wirtz ◽  
Peter Daiser
Keyword(s):  
Empirical Research ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Theory Development ◽  
Future Research ◽  
Special Importance ◽  
Comprehensive Overview ◽  
Solid Foundation ◽  
Government Research ◽  
Meta Analyses

The desired e-government potentials and its shortcomings in reality are key reasons why e-government has become a major topic of interest to academics and practitioners, leading to an extensive body of knowledge. However, the literature still demands further quantitative empirical research to substantiate theory development. This situation calls for a specific review of the literature that arranges relevant knowledge and provides a solid foundation for future research. However, available meta-analyses do not deliver the particular insights to appropriately address the shortage of quantitative empirical e-government research. Therefore, this study explicitly focuses on this specific field to systematically uncover areas requiring further exploration, and defines promising research directions for a solid foundation for future investigations. Key findings of the meta-analysis are: the existence of a systematic divide of existing quantitative empirical e-government studies into 12 research subtopics, which are assessed according to different classification criteria for scientific research gap-spotting; the identification of emerging subtopics that carry innovative research potential; and that e-government is expected to be an ongoing, open-ended research environment that still provides manifold investigative opportunities. Based on these findings, straightforward suggestions for future research are provided. Points for practitioners Beyond providing insights into the current state of quantitative empirical research for scientific researchers, this article also delivers value for professionals working in public management and administration. First, the study provides a comprehensive overview of e-government-related meta-analyses, which allows us to quickly identify the literature in order to tackle particular e-government management issues. Second, the article classifies existing quantitative empirical studies, defines specific subject areas and arranges relevant knowledge, which eases the processes of confining and labelling e-government activities. Last, since these deliverables are based on empirical studies that draw their conclusions from perceptions of reality, the summaries and classifications are thus regarded to be of special importance for public managers.

Which Data to Meta-Analyze, and How?

2019 ◽  
Vol 227 (1) ◽  
pp. 64-82 ◽  
Author(s):  
Martin Voracek ◽  
Michael Kossmeier ◽  
Ulrich S. Tran
Keyword(s):  
Empirical Research ◽  
Meta Analysis ◽  
Curve Analysis ◽  
Research Progress ◽  
Primary Data ◽  
Statistical Procedures ◽  
Graphical Displays ◽  
Primary Data Analysis ◽  
Meta Analyses ◽  
Data Analytic

Abstract. Which data to analyze, and how, are fundamental questions of all empirical research. As there are always numerous flexibilities in data-analytic decisions (a “garden of forking paths”), this poses perennial problems to all empirical research. Specification-curve analysis and multiverse analysis have recently been proposed as solutions to these issues. Building on the structural analogies between primary data analysis and meta-analysis, we transform and adapt these approaches to the meta-analytic level, in tandem with combinatorial meta-analysis. We explain the rationale of this idea, suggest descriptive and inferential statistical procedures, as well as graphical displays, provide code for meta-analytic practitioners to generate and use these, and present a fully worked real example from digit ratio (2D:4D) research, totaling 1,592 meta-analytic specifications. Specification-curve and multiverse meta-analysis holds promise to resolve conflicting meta-analyses, contested evidence, controversial empirical literatures, and polarized research, and to mitigate the associated detrimental effects of these phenomena on research progress.

scholarly journals First-Generation College Students and Family Support: A Critical Review of Empirical Research Literature

2021 ◽  
Vol 11 (6) ◽  
pp. 294
Author(s):  
Samantha LeBouef ◽  
Jodi Dworkin
Keyword(s):  
College Students ◽  
Family Support ◽  
Empirical Research ◽  
First Generation ◽  
Empirical Studies ◽  
First Generation College Students ◽  
Research Literature ◽  
Empirical Literature ◽  
First Generation College ◽  
Research Narrative

The majority of empirical literature on first generation college students (FGCSs) in the U.S. asserts that because their parents did not attend college, FGCSs are lacking important resources to be successful in college. However, this results in a deficit-based approach to the study of FGCSs that tends to highlight the differences between first-generation and continuing-education students. However, FGCSs possess a wealth of resources from parents and families that make them successful, and that are often ignored in research. Asset-based approaches to the study of FGCSs are becoming more frequent in the form of books, book chapters, and white papers; however, published empirical research has yet to adopt this approach. As a result, a deeper understanding of FGCSs’ experiences is essential to advancing diversity and equity in higher education. To begin to address this gap, a systematic literature review of empirical studies following the PRISMA framework was conducted on first generation college students and family support; the literature was critically reviewed and future directions for the field were identified. Applying a critical, cultural, and familial lens to the study of first-generation college students will contribute to reframing the research narrative towards an asset-based narrative.

The Relationship of Attention Deficit Hyperactivity Disorder to Crime and Delinquency: A Meta-Analysis

2002 ◽  
Vol 4 (4) ◽  
pp. 344-360 ◽  
Author(s):  
Travis C. Pratt ◽  
Francis T. Cullen ◽  
Kristie R. Blevins ◽  
Leah Daigle ◽  
James D. Unnever
Keyword(s):  
Attention Deficit ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Strong Association ◽  
Criminological Theory ◽  
Empirical Literature ◽  
Delinquent Behaviour ◽  
Hyperactivity Disorder ◽  
Correctional Policy ◽  
Crime And Delinquency

In recent years, criminologists have begun to focus more closely on how certain biosocial and/or neuropsychological factors may influence criminal and delinquent behaviour. One factor that is emerging as a potentially important correlate of such behaviour is Attention Deficit — often combined with hyperactivity — Disorder (ADD and/or ADHD). The results of the growing body of empirical literature assessing this link are, however, inconsistent. The present study subjects this body of research to a ‘meta-analysis' — or, ‘quantitative synthesis' — to establish both the overall effect of ADHD on crime and delinquency and the degree to which this relationship is conditioned by methodological factors across empirical studies. The analyses reveal a fairly strong association between measures of ADHD and criminal/delinquent behaviour. Nevertheless, these effects are not invariant across certain salient methodological characteristics. The implications for criminological theory and correctional policy are discussed.

Emotional intelligence and entrepreneurial intentions: an exploratory meta-analysis

2018 ◽  
Vol 23 (5) ◽  
pp. 497-512 ◽  
Author(s):  
Chao Miao ◽  
Ronald H. Humphrey ◽  
Shanshan Qian ◽  
Jeffrey M. Pollack
Keyword(s):  
Emotional Intelligence ◽  
Positive Relationship ◽  
Meta Analysis ◽  
Power Distance ◽  
Entrepreneurial Intention ◽  
Uncertainty Avoidance ◽  
Entrepreneurial Intentions ◽  
Content Type ◽  
Meta Analyses

Purpose The topic of entrepreneurial intention, which refers to a person’s degree of interest in creating a new business venture, has received close scrutiny in the entrepreneurship literature. The empirical results regarding the relation between emotional intelligence (EI) and entrepreneurial intention were nevertheless mixed across studies. Based on fit theory and trait activation theory, the purpose of this paper is to explain the fundamental reason for the mixed findings in the extant literature thus far. Design/methodology/approach Random-effects meta-analyses, based on 12 studies (along with 12 effect sizes), were performed to not only investigate the overall relation between EI and entrepreneurial intention but also to examine the moderators (i.e. individualism (vs collectivism), masculinity (vs femininity), power distance, long-term orientation (vs short-term orientation), uncertainty avoidance, and indulgence (vs restraint)) that influence this relation. Findings The results of this meta-analysis demonstrated that EI is positively related to entrepreneurial intention; the positive relationship between EI and entrepreneurial intention is stronger in long-term-oriented cultures; and the positive relationship between EI and entrepreneurial intention does not significantly differ based on a culture’s level of collectivism, masculinity, power distance, uncertainty avoidance, and indulgence. Originality/value This meta-analysis advances the current understanding of the relation between EI and entrepreneurial intention from cross-cultural perspectives.

scholarly journals Systematically Searching Empirical Literature in the Social Sciences: Results from Two Meta-Analyses Within the Domain of Education

2019 ◽  
Vol 15 (4) ◽  
pp. 245-265 ◽  
Author(s):  
David I. Pickup ◽  
Robert M. Bernard ◽  
Eugene Borokhovski ◽  
Anne C. Wade ◽  
Rana M. Tamim
Keyword(s):  
Information Retrieval ◽  
Meta Analysis ◽  
Grey Literature ◽  
Full Range ◽  
Empirical Literature ◽  
Bibliographic Databases ◽  
Campbell Collaboration ◽  
Manual Search ◽  
Review Team ◽  
Meta Analyses

Introduction. This paper provides an overview of the information retrieval strategy employed for two meta-analyses, conducted by a systematic review team at Concordia University (Montreal, QC, Canada). Both papers draw on standards first articulated by H.M. Cooper and further developed by the Campbell Collaboration, which promote a comprehensive approach to systematically searching an extensive array of resources (bibliographic databases, print resources, citation indices, etc.) in order to locate both published and unpublished research. The goal is to verify if searching comprehensively through multiple resources retrieves studies that are unique, and hence, improve the overall representativeness of a diverse body of literature. We also analyze the sensitivity and specificity of the results by data source. Methods. In order to determine the source sensitivity, we consider percentage of results from each source retrieved for full-text review. In order to determine the source specificity, we derive a percentage from the total number of studies included in the final meta-analysis compared against the overall number of initial results found. Results. Results demonstrate the need to search beyond the subject-specific databases of a particular discipline as unique results can be found in many places. Databases for related disciplines provided 129 unique includes to each meta-analysis, and multidisciplinary databases provided 44 and 99 unique includes for the two meta-analyses in question respectively. Manual search techniques were much more sensitive and specific than electronic searches of databases and yield a higher percentage of final includes. Discussion. The results demonstrate the utility of a comprehensive information retrieval methodology like that proposed by the Campbell Collaboration, which goes beyond the main subject databases to locate the full range of information sources, including grey literature.

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.

Who becomes an entrepreneur? A 30-years-review of individual-level research

2015 ◽  
Vol 22 (2) ◽  
pp. 225-248 ◽  
Author(s):  
Sascha G. Walter ◽  
Simon Heinrichs
Keyword(s):  
Empirical Studies ◽  
Temporal Trends ◽  
Temporal Stability ◽  
Strong Support ◽  
Entrepreneurial Intentions ◽  
Future Research ◽  
Content Type ◽  
Individual Level ◽  
Individual Variables ◽  
Meta Analyses

Purpose – The purpose of this paper is to cumulate published empirical studies (1980-2009) on the relationship between individual variables and entrepreneurial status. The authors categorize repeatedly analyzed determinants into six perspectives (trait, cognitive, affective, intentions, learning, and economic), review empirical findings for each determinant and each perspective, investigate trends in the field, and propose avenues for future research. Design/methodology/approach – The authors categorize determinants into one of the six paradigms and review findings for 46 repeatedly studied variables from 131 studies. Support for each variable, publication outlets chosen, and temporal trends in exploring entrepreneurial intentions, entrepreneurial status or differences between entrepreneurs and other individuals are analyzed. Findings – Prior studies have focused on trait and economic perspectives with strong support, followed by the learning and intentions perspectives. The affective perspective is a still under-researched, yet growing field. Most articles were published in the 1990s. The emphasis on theoretical perspectives varies over decades. Directions for future research include integrating the perspectives (e.g. across the cognitive and affective domain), testing the temporal stability of influences, and developing and testing cross-level models that incorporate contextual influences. Originality/value – The paper complements prior reviews and meta-analyses by picturing the breadth of the field and adding important points to the research agenda.

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