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Item Reliability and Measurement Error in the Presence of Homogeneity(For the final version of the article published in the print edition of the journal as cited above, please click on the following doi link: [LINK]http://dx.doi.org/10.1300/J079v24n01_07[/LINK].[BREAK]Access to the original article may require subscription and authorized logon ID/password. IUPUI faculty/staff/students please check University Library resources before purchasing an article. Questions on finding the original article via our databases? Ask a librarian: [LINK]http://www.ulib.iupui.edu/research/askalibrarian[/LINK]., 1998) Pike, Cathy King; Hudson, Walter W.This paper describes a limitation of using Cronbach's Alpha to estimate reliability when using a sample with homogeneous responses in the measured construct. More specifically, it describes the risk of falsely concluding that a new instrument may have poor reliability and demonstrates the use of an alternate statistic that may serve as a cushion against such errors. Data from two validation studies are used to illustrate the utility of the new statistic, referred to as R-Alpha or Relative Alpha. Included is a discussion of the limitations and appropriate use of the statistic in validating multi-item tests, assessment scales, and inventories.