Structural Equation Modeling: A Practical Introduction

Shaun McQuitty and Marco Wolf

Journal of African Business, 2013, vol. 14, issue 1, 58-69

Abstract: Structural equation modeling (SEM) is a popular statistical technique that has become an essential tool for business academics and practitioners. The technique is particularly well suited for evaluating the relationships among any number of observed and latent variables. Thus, typical applications for SEMs are model and theory testing, and scale development. The purpose of this article is to introduce the technique and to explain its use in practical terms that do not require a strong statistical background. Two previous Journal of African Business articles are used to demonstrate SEM applications, and the article concludes with a brief introduction to SEM software packages.

Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://hdl.handle.net/10.1080/15228916.2013.765325 (text/html)
Access to full text is restricted to subscribers.

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:taf:wjabxx:v:14:y:2013:i:1:p:58-69

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/wjab20

DOI: 10.1080/15228916.2013.765325

Access Statistics for this article

Journal of African Business is currently edited by Samuel Bonsu

More articles in Journal of African Business from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().