治慶 吳, Engineer, GCI
Wayne Chou, Engineer, Customer quality
Yuchen Lai, Customer Quality Engineer, GCI
This project studied JMP Black Belt exam patterns among students to understand exam difficulty and discrimination across platforms in JMP 16. Through preliminary scoring distribution, the instructor can identify each exam question's difficulty and discrimination. The statistical parameters can then be used to determine which questions should be included in which level of examination, such as Green Belt or Black Belt. By comparing three different Black Belt STIPS exams with a dual plot, questions can be designed for different types of exams.
The characteristic curves are related the difficulty and discriminatory properties of each question and are then compared with each student’s ability and probability of answering correctly. Dual plots use the same scale to show the relative difficulty for a group of students' capability when answering each question. Parameter estimates are used to measure the difficulty and discrimination of each question. The sample questions in three STIPS exams use four kinds of questions and four levels of difficulty and discrimination. By using JMP Item Analysis platform, instructors can adapt any learning program and their instruction to accommodate different levels of students according to the difficulty and discrimination of test questions.
