The Predictive Validity Of Selection Criteria Used For Teachers Participating In 'Kiremt' Program At Awassa College Of Teacher Education

dc.contributor.advisorAndualem, Tamire (Associate Professor)
dc.contributor.authorAlewi, Mohammed
dc.date.accessioned2019-01-15T14:58:35Z
dc.date.accessioned2023-11-10T14:44:00Z
dc.date.available2019-01-15T14:58:35Z
dc.date.available2023-11-10T14:44:00Z
dc.date.issued2014-06
dc.description.abstractDesigning and implementing effective and appropriate admission or selection criteria for teacher candidates is an indispensable avenue to the quality of teacher education. If the criteria do not promote the attainment of program objectives in general and participants success in particular, there may be great lose of human and material resources. Accordingly, this study was carried out to identifY to what extent the selection criteria used in SNNPREB kiremt program at ACTE predict their success in the training program. More specifically, the objective of this study was to analyze the predictive validity of the selection criteria (separately & collectivel)) in each sub group & the entire subjects group. The subjects of the study were 385(Male =308, Female=77) trainees who have been admitted to ACTE in 1999 and able to graduate in 2003 ajier attending five series of kiremt program. For the purpose of this study, the subjects were classified in to four sub groups (Language, Natural science, Social science, and HPE) with respect to their fields of study and another grouping by sex (Male & Female) irrespective of fields of study was formed. The entire subjects were also taken altogether as a group. The selection criteria used by SNNPREB, ESLCEITTI GPA, teaching experience and teaching peljormance are taken as predictors. The criterion measure was graduation GPA. Sex was used as a predictor in subgroups with respect to fields of study and in the entire subjects group. Data on both criterion and predictor measures for each subject were collected by checking documents kept at the college. Analyses of data were carried out using multiple correlation and regression (stepwise) techniques. Results of the study indicated that the selection criteria have different predictive power in each subgroup. ESLCEITTI GPA was found being the best predictor of college GPA in the case of each subgroup & entire subjects group.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/12345678/15741
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectSelection Criteria Used For Teachers Participatingen_US
dc.titleThe Predictive Validity Of Selection Criteria Used For Teachers Participating In 'Kiremt' Program At Awassa College Of Teacher Educationen_US
dc.typeThesisen_US

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