Statistical power in international business research: Study levels and data types

Ge Zhan

International Business Review, 2013, vol. 22, issue 4, 678-686

Abstract: Research efforts in statistical power can improve research design and reporting. This paper examines the impact of study levels and data types on the statistical power of published international business (IB) research. To gauge the statistical power of IB research, I surveyed all empirical articles published in International Business Review and Journal of World Business from 2003 to 2008. The results support the notion that statistical power is influenced by study levels and data types, particularly panel vs. non-panel data. Although statistical power in IB research has been considerably improved, 70% of studies are still not sufficiently powered to detect small effects. The problem of lacking statistical power is more serious for country-level and multilevel studies. Studies using primary and non-panel data are less powered than those using secondary and panel data. Three strategies are offered for achieving sufficient statistical power.

Keywords: Quantitative research; Research design; Statistical power (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0969593112001242
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:iburev:v:22:y:2013:i:4:p:678-686

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/133/bibliographic
http://www.elsevier. ... me/133/bibliographic

DOI: 10.1016/j.ibusrev.2012.10.004

Access Statistics for this article

International Business Review is currently edited by P. Ghauri

More articles in International Business Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().