A monte carlo study of eight confidence interval methods for coefficient alpha

Published

Journal Article

The purpose of this research is to examine eight of the different methods for computing confidence intervals around alpha that have been proposed to determine which of these, if any, is the most accurate and precise. Monte Carlo methods were used to simulate samples under known and controlled population conditions. In general, the differences in the accuracy and precision of the eight methods examined were negligible in many conditions. For the breadth of conditions examined in this simulation study, the methods that proved to be the most accurate were those proposed by Bonett and Fisher. Larger samples sizes and larger coefficient alphas also resulted in better interval coverage, whereas smaller numbers of items resulted in poorer interval coverage. © 2010 SAGE Publications.

Full Text

Duke Authors

Cited Authors

  • Romano, JL; Kromrey, JD; Hibbard, ST

Published Date

  • January 1, 2010

Published In

Volume / Issue

  • 70 / 3

Start / End Page

  • 376 - 393

Electronic International Standard Serial Number (EISSN)

  • 1552-3888

International Standard Serial Number (ISSN)

  • 0013-1644

Digital Object Identifier (DOI)

  • 10.1177/0013164409355690

Citation Source

  • Scopus