Effects of Convergent and Divergent Instructional Strategies on Achievement in Basic Technology among Secondary School Students in Calabar Municipal
This study assessed primary school teachers’ ability and competency in the application of psychometric properties of test instruments among primary school teachers. The design for the study is a descriptive survey research design. The population of the study consists of 893 (Ethiope East 482 and Okpe local government area 411) primary school teachers during the 2023/2024 academic session in Delta State public schools. A sample of 50 teachers each from the targeted population in the two local government areas using a multi-stage sampling technique. The instrument for the research was a self-assessment inventory constructed by the researcher known as the Psychometric Ability and Competence Inventory for Teachers (PACIT). The instrument was validated by a measurement and evaluation expert for validity while reliability was determined using the split-half method with a coefficient of 0.86. The instrument was administered to the teachers and data collected were analysed using statistical mean. The result revealed that most primary school teachers in the two local government areas of Delta State lack the ability and competencies to establish the psychometric properties of test instruments. The following conclusions were drawn; that primary school teachers lack the ability and competency to establish psychometric properties of tests, the teachers’ pay little attention to the psychometric properties which are the standard qualities of a good test and they also lack the basic skills required for the establishment of psychometric properties. It was recommended that primary school teachers need to be informed and retrained on the importance of psychometric properties of tests. Keywords: Assessment, Ability, Competency, Psychometric properties and Primary school teachers.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-09-19
- DOI
- https://doi.org/10.5281/zenodo.13798874
- Primary Topic
- E-Learning and COVID-19
- Type
- article
- Field-Weighted Citation Impact
- 0.00