O.K. Omorogiuwa

The study evaluates the Edo Basic Education Sector Transformation (EdoBEST) programme-pillars in primary schools in Benin metropolis using the CIPP evaluation model. Specifically, the study evaluated the system strengthening and organisational development, teacher professional development and quality assurance, curriculum implementation and learning outcomes, community engagement and participation as well as school infrastructure and facilities as the programme- pillars. To carry out this study, fifteen research questions were raised, research question fifteen was hypothesized and tested at 0.05 alpha level. This study adopted a survey research design. The study’s population was 2,079 teachers and 10,285 learners. A sample size of 335 teachers and 385 primary five pupils were selected using random sampling techniques and the proportionate by size method. Teachers Questionnaire, a checklist, an observational schedule and a primary five Mathematics achievement test were the instrument used for data collection. The questionnaire, checklist and the observational schedule were subjected to content and face validity while the Mathematics achievement test is a standardized test from UBEC which was presumed to have undergone all the processes of validation. The reliability of the teacher’s questionnaire was established using the Cronbach alpha method to obtain a reliability coefficient of 0.81 while the reliability of Mathematics achievement test was reestablished using test-retest method to obtain a coefficient of 0.84. The values showed that the instruments were reliable. The data collected were analyzed using frequency counts, percentage, mean and standard deviation to answer research questions 1-14 while the independence sample t- test was used to test the hypothesis at 0.05 level of significance

The purpose of this study was to examine the performance of five model-fitting estimation techniques; Likelihood Ratio Test (LRT), Akaike Information Criterion (AIC), Bayesian information criterion (BIC), Deviance Information Criterion (DIC) and Cross- Validation Log-Likelihood (CVLL) techniques that effectively selected an IRT dichotomous model which fitted NABTCE 2018 May/June Mathematics multiple choice test. This was carried out by comparing the performances of the five techniques used based on relative fit. Four research questions guided the study. No hypothesis was formulated and tested, due to the fact that the techniques used in this study were non-significant statistics. The research design employed was the descriptive survey of the ex-post facto method. The population of the study consisted of 49,581 candidates who sat for the National Business and Technical Certificate Examinations in 2018 in the six Geo-Political Zones in Nigeria. The sample size comprised 4,948 candidates and a statistical sample of 50 items. The Multistage simple random sampling technique was employed for randomly selecting the sample for the study. The instrument used to collect data was 50-item Mathematics multiple choice test from NBTCE May/June 2018. The instrument was a standardized instrument and as such it was valid and reliable. Item parameters were estimated from the examinees’ responses to the items using the computer programme BILOG-MG3. For the five estimation techniques BILOG-MG3 was used for LR, AIC and BIC. WinBUGS 1.4 was used for DIC, while MATLAB was used for CVLL which answered the research questions