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Dependability of Students‘ Internship Mentors‘ Results Using Generalizability Theory at University of Education, Winneba

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dc.contributor.author Oduro-Okyireh, George
dc.date.accessioned 2022-01-20T12:22:42Z
dc.date.available 2022-01-20T12:22:42Z
dc.date.issued 2020-11
dc.identifier.issn 23105496
dc.identifier.uri http://hdl.handle.net/123456789/7340
dc.description xvi, 254p:, ill. en_US
dc.description.abstract The main purpose of this study was to determine the dependability of the mentors‘ results of the University of Education, Winneba, School Internship Programme (UEW-SIP), using Generalizability (G) theory. Inherent in this purpose were to find the reliability and the sources of error in the mentors‘ results. A random effect one-facet crossed design in which intern (p) was crossed with occasion (o), was used for the study. The study used eight purposively selected Faculties out of a total of 14. A total of 9,082 bachelor‘s degree graduates results for the academic years 2015/2016, 2016/2017 and 2017/2018 were used for the analysis. Data were analysed by performing a univariate generalizability analysis using EduG version 6.1. It was found that for relative interpretation, the results were strongly reliable (Coef_G relative of 0.66 – 0.84) and for absolute interpretation, the results were moderately to strongly dependable (Coef_G absolute of 0.59 – 0.81). The major source of error was the intern by occasion (p x o) interaction. The Intern Teaching Evaluation Form (ITEF), which is the rating scale for evaluating teaching practice in UEW, was found to be reliable to a greater extent. For most dependable mentors‘ results while ensuring economy of use of resources in the UEW-SIP, the optimum number of occasions was found to be five. It was recommended among other things that, the university supervisors‘ rating should be increased from one to at least two occasions, so that G theory can be applied to find the psychometric properties of the results. Again, the number of occasions for mentors‘ rating in the UEW-SIP should be increased from three to five to ensure most stable and dependable results. en_US
dc.language.iso en en_US
dc.publisher University of Cape Coast en_US
dc.subject Generalizability theory en_US
dc.subject Crossed and nested designs en_US
dc.subject Variance components en_US
dc.subject Classical test theory en_US
dc.title Dependability of Students‘ Internship Mentors‘ Results Using Generalizability Theory at University of Education, Winneba en_US
dc.type Thesis en_US


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