Abstract

A critical appraisal is presented of some of the misconceptions surrounding the notion of test reliability which appear to be quite pervasive in some linguistic research circles. First, it is demonstrated that observed group differences which prove significant in the adequate significance tests, are in no way discredited by low reliability coefficients. Second, it is argued that test reliability should be determined a priori, i.e. before a test is actually used in an investigation. Post-hoc computations of test reliability are redundant and may even be misleading. Third, the results of computer simulations are presented which show that reliability coefficients such as Cronbach's alpha depend to a large degree on the heterogeneity of the subject sample and the range of item dif ficulties. This imposes serious limitations on the usefulness of Cronbach's alpha as a reliability measure, especially when computed post-hoc. As a scalability measure Cronbach's alpha seems fundamentally inappropriate.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.