Author(s): Nnadi Hillary Sunday, Nnenna Ekpereka Ibezim
Purpose: The study developed process skill rating scale for students’ assessment in data processing for Science, Technical and Vocational schools (STVs). Method: Instrumentation research design was utilized for the study and was conducted in Enugu State, South East, and Nigeria. The sample size for the study was 37 students offering data processing which consisted of three ability groups (11 low, 18 average and 8 high abilities). A draft of the rating scale containing 85 data processing skill items was validated and utilized to develop the process skill rating scale in data processing (PSRSDP). The PSRSDP was utilized to evaluate data processing students in STVs. Kaiser-Meyer-Olkin (KMO), Factorial analysis, Cronbach alpha and Scheffe test were utilized in analyzing the data generated. The PSRSDP had overall reliability coefficient of 0.84. Results: The study revealed significance difference in mean scores of the three ability groups. Conclusion: The utilization of PSRSDP for assessing skills possessed by the students in trade subjects can provide teachers and examination bodies a valid judgment on the students’ achievement in the trade. Based on the effectiveness of PSRSDP in determining skills possessed by students, teachers and national examination bodies are advised to adopt the instrument for examining the students for appropriate certification.