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Research Paper (postgraduate) from the year 2023 in the subject Pedagogy - School System, Educational and School Politics, University of Benin (Faculty of Education), language: English, abstract: The study is aimed at assessing differential item functioning by school ownership in 2020 WAEC SSCE (West African Senior School Certificate Examination) Economics multiple choice items. To achieve the objectives of this study, four research questions were raised and two hypotheses were tested. The Survey Research Design was adopted. Multi-stage Sampling Procedure was used to select the sample for the…mehr

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Research Paper (postgraduate) from the year 2023 in the subject Pedagogy - School System, Educational and School Politics, University of Benin (Faculty of Education), language: English, abstract: The study is aimed at assessing differential item functioning by school ownership in 2020 WAEC SSCE (West African Senior School Certificate Examination) Economics multiple choice items. To achieve the objectives of this study, four research questions were raised and two hypotheses were tested. The Survey Research Design was adopted. Multi-stage Sampling Procedure was used to select the sample for the study. The population of the study comprised 21440 students in SS3 in Benin metropolis who wrote the 2020 WAEC SSCE. The sample size for the study was two thousand one hundred and forty four (2144) SS3 students. The research instruments used for the study was 2020 WAEC SSCE Economics multiple choice questions. Logistic Regression Analysis was used to detect DIF while the hypotheses were tested using Chi-Square Statistical Analysis. All hypotheses were tested at 0.05 level of significance. The findings showed that out of the fifty (50) items in WAEC 2020 Economics examination question paper, eight items function differentially by school ownership. From the results of the hypotheses of the 2020 WAEC SSCE Economics, the null hypotheses of no significant difference in the number of items functioning differentially by ownership was retained. Based on the findings, it was recommended that test experts and developers should explore the use of Logistic Regression Analysis to detect items with DIF.

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