Possibilities of usage meta-analysis method in economic research area

• Authors: Anna Gondek
• Languages of publication: EN

Abstracts

EN

Possibilities of usage meta-analysis method in economic research area The article presents the method of meta-analysis showing its essence, main elements, steps of carrying out research, as well as showing the advantages and disadvantages. In the support to available scientific bases of the source body of the literature, the author checked the economic studies, in which meta-analysis was used and divided them into twelve subject groups. Two group were the most numerous, they were: (1) macro-economics in such subjest as development and growth economics, sustainable development, national accounts, public budgeting and finance and (2) management, especially about productivity, quality of human capital, organizational attitude, and widely understood competitiveness.

Keywords

EN

metaanaliza; effect size; methodology

PL

metaanaliza; wielkość efektu; metodyka

• Publisher: Sciendo
• Journal: Management
• Year: 2013
• Volume: 17
• Issue: 2
• Pages: 117-126

Dates

published

2013-12-01

online

2013-12-04

Contributors

author

Anna Gondek

• University of Zielona Góra, Faculty of Economics and Management

References

• 1. Bal F., Button K.J., Nijkamp P. (2002), Ceteris Paribus, Meta-analysis andValue Transfer, „Socio-Economic Planning Science”, 36 (2).
• 2. Cooper, H.M., Hedges L.V. (Eds.) (1994), The Handbook of Research Synthesis, Russell Sage Foundation, Nowy Jork.
• 3. Field, A.P. (2001), Meta-Analysis of Correlation Coeffi cients: A Monte CarloComparison of Fixed- and Random-Effects Methods, „Psychological Methods”, no. 2.
• 4. Glass, G.V. (1976), Primary, Secondary, and Meta-Analysis of Research, „Review of Research in Education”, no. 10.
• 5. Gondek A., Mazur K. (2010), Job satisfaction, organizational commitment andjob performance - partial meta-analysis, „Management”, no 1.
• 6. Hedges L. V. (1982), Issues in meta - analysis, Review of Research in Education, no. 13.
• 7. Hedges L.V. (1987), How hard is hard science, how soft is soft science?, „American Psychology”,no. 43.[Crossref]
• 8. Hedges L. V. (1994), Statistical considerations. In H. Cooper and L. V. Hedges (Eds.), The handbook of research synthesis, New York: Sage.
• 9. Hedges L.V., Olkin I. (1985), Statistical Methods for Meta-Analysis, Nowy York.
• 10. King, W.R., He J. (2005)Understanding the Role and Methods of Meta-Analysisin IS Research, „Communications of the Association for Information Systems”, no. 3.
• 11. Lipsey M. W., Wilson D. B. (2001), Practical meta - analysis, Thousand Oaks, CA: Sage.
• 12. Mazur K. (2012), Leader-member exchange and individual performance. Themeta-analysis, „Management” 2012, no. 2.
• 13. Mazur K. (2011a), The impact of organizational justice on employee behaviourrelated to value creation. A meta-analysis, „Management” 2011, no 2.
• 14. Mazur K. (2011b), Tworzenie i przywłaszczanie wartości: perspektywarelacji: pracownik - organizacja, Ofi cyna Wydawnicza Uniwersytetu Zielonogórskiego, Zielona Góra.
• 15. Nelson, J. P., Kennedy P. E. (2009), The Use (and Abuse) of Meta-Analysisin Environmental and Natural Resource Economics: An Assessment, „Environmental and Resource Economics”, 42 (3).
• 16. Raudenbusch S. W. (1994), Random effect models. In H. Cooper and L. V. Hedges (Eds.), The handbook of research synthesis, New York: Sage.
• 17. Rosenthal R. (1978), Combining Results of Independent Studies, „Psychological Bulletin”, no. 1.
• 18. Rosenthal R. (1991), Meta - analytic Procedures for Social Research, revised edition, Beverly Hills, CA: Sage.
• 19. Shadish W. R., Haddock C. K.(1994), Combining estimates of effect size. In H. Cooper and L. V. Hedges (Eds.), The handbook of research synthesis, New York: Sage.
• 20. Shelby Lori B., Vaske Jerry J. (2008), Understanding Meta-Analysis: A Reviewof the Methodological Literature, „Leisure Sciences”, no. 30. [WoS]

Identifiers

DOI

10.2478/manment-2013-0059