Abstract
In this study, a framework was tried to be presented by focusing on the similarities and differences of generalizability theory (GT) and classical test theory (CTT). Although this example consists of 125 students, 18 items, and 4 raters, all data was obtained completely in a random way. This completely random data which was different than any data previously used in the research available was used to assess and compare the GT and CTT. The results reflects that the Cronbach’s α and G-coefficients are very low and the same for a single facet design (s x i) and G-coefficient and Ф coefficient were obtained as .457 and.456, respectively for two facet design (s x i x r) which was not examined by CTT.
Keywords: Generalizability theory, classical test theory, generalizability coefficient, phi coefficient, reliability.
Copyright and license
Copyright © 2011 The Author(s). This is an open access article distributed under the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is properly cited.