Abstract: The study aimed to describe the levels of accreditation statusand levels of performance in licensure examinations; and determine if accreditation is a predictor for success in licensure examinations. Seven state universities and colleges in Eastern Visayas that offered college degree programs with licensure examinations were included.The study employed documentary analysis and used frequency counts, means, percentages, standard deviations, F-Tests or analysis of variance (ANOVA), Scheffe’s Tests, and multiple regression analysis in determining the performance of the SUCs in licensure examinations; and the relationship between the accreditation levels and performance in licensure examinations. The levels of accreditation status, i.e. Level 0, I, II, and III, were considered along the ten areas, namely: Area I – Vision, Mission, Goals, and Objectives; Area II – Faculty; Area III – Curriculum and Instruction; Area IV – Students; Area V – Research and Development; Area VI – Extension and Community Involvement; Area VII – Library; Ara VIII – Physical Facilities; Area IX – Laboratories; and Area X – Administration. It was found out that SUCs with Level II accreditation status and offered Accountancy, Agricultural and Civil Engineering degree programs performed better in licensure examinations. SUCs with Levels I and 0 accreditation status and offered Electrical and Mechanical Engineering degree programs performed lower. SUCs with different levels of accreditation differ in their performance.It showed that the higher the level of accreditation status, the better the performance of students in licensure examinations. Thus in this case, accreditation becomes a predictor for success in licensure examinations.
Keywords: accreditation, predictor, licensure examination, state universities and colleges, quality education.
Title: Accreditation As A Predictor for Success in Licensure Examinations of State Universities and Colleges in Eastern Visayas
Author: Divina Minguez-Galenzoga
International Journal of Interdisciplinary Research and Innovations
ISSN 2348-1218 (print), ISSN 2348-1226 (online)
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