Assessing the predictive validity of selection criteria for Defense College of the Health Science

dc.contributor.advisorMeshesha, Ayele (PhD)
dc.contributor.authorMengesha, Kassahun
dc.date.accessioned2019-01-17T12:43:07Z
dc.date.accessioned2023-11-10T14:46:22Z
dc.date.available2019-01-17T12:43:07Z
dc.date.available2023-11-10T14:46:22Z
dc.date.issued2008-06
dc.description.abstractThe increase of enrolment wlfh limlfed resources makes II necessary for instilutions of higher learning to establish selection procedures designed to identify among a large {lUmber of apphcants. those who are most hkely to succeed for better prediction of success and screening of the candidates who are academically competent establishing empirically valid and reliable selection devices is therefore very important Taking such steps might help in decision making concerning the admission of candidates to the college of Health Science. The main purpose of this study was to determine the predictive power of the selection crlleria for the Oefense College of Health Science. The subjects for the study were 49 Nurses. 34 Laboratory Technicians. 40 Pharmacists and 23 Radiographers who were admitted in 2004 and graduated in 2005 academiC years. The data were gathered from the personal file of each student which are kept securely in the Registrar's Office of the College. The data included students' BPA earned in the college both in the first year and second year which are criterion variables: and the predictor variables are EBSECE/ESLCE BPA. Entrance examination results and high school average scores. The data analysis was done using correlation and regression techniques. And based on the results of the study conclusions and recommendations were made.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/12345678/15875
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectprocedures designed to identify among a large MUmber of apphcantsen_US
dc.titleAssessing the predictive validity of selection criteria for Defense College of the Health Scienceen_US
dc.typeThesisen_US

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