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Doris Zahner; Jeffrey T. Steedle; James Soland; Catherine Welch; Qi Qin; Kathryn Thompson; Richard Phelps – Online Submission, 2023
The "Standards for Educational and Psychological Testing" have served as a cornerstone for best practices in assessment. As the field evolves, so must these standards, with regular revisions ensuring they reflect current knowledge and practice. The National Council on Measurement in Education (NCME) conducted a survey to gather feedback…
Descriptors: Standards, Educational Assessment, Psychological Testing, Best Practices
Mao, Xiuzhen; Ozdemir, Burhanettin; Wang, Yating; Xiu, Tao – Online Submission, 2016
Four item selection indexes with and without exposure control are evaluated and compared in multidimensional computerized adaptive testing (CAT). The four item selection indices are D-optimality, Posterior expectation Kullback-Leibler information (KLP), the minimized error variance of the linear combination score with equal weight (V1), and the…
Descriptors: Comparative Analysis, Adaptive Testing, Computer Assisted Testing, Test Items
Lin, Min-Jin; Guo, Chorng-Jee; Hsu, Chia-Er – Online Submission, 2011
This study designed and developed a CP-MCT (content-rich, photo-based multiple choice online test) to assess whether college students can apply the basic light concept to interpret daily light phenomena. One hundred college students volunteered to take the CP-MCT, and the results were statistically analyzed by applying t-test or ANOVA (Analysis of…
Descriptors: College Students, Testing, Multiple Choice Tests, Evaluation Methods
Tian, Jian-quan; Miao, Dan-min; Zhu, Xia; Gong, Jing-jing – Online Submission, 2007
Computerized adaptive testing (CAT) has unsurpassable advantages over traditional testing. It has become the mainstream in large scale examinations in modern society. This paper gives a brief introduction to CAT including differences between traditional testing and CAT, the principles of CAT, psychometric theory and computer algorithms of CAT, the…
Descriptors: Foreign Countries, Psychometrics, Adaptive Testing, Computer Assisted Testing
Chung, Gregory K. W. K.; Dionne, Gary B.; Kaiser, William J. – Online Submission, 2006
Our research question was whether we could develop a feasible technique, using Bayesian networks, to diagnose gaps in student knowledge. Thirty-four college-age participants completed tasks designed to measure conceptual knowledge, procedural knowledge, and problem-solving skills related to circuit analysis. A Bayesian network was used to model…
Descriptors: Discovery Processes, Feasibility Studies, Bayesian Statistics, Prediction
Rizavi, Saba; Hariharan, Swaminathan – Online Submission, 2001
The advantages that computer adaptive testing offers over linear tests have been well documented. The Computer Adaptive Test (CAT) design is more efficient than the Linear test design as fewer items are needed to estimate an examinee's proficiency to a desired level of precision. In the ideal situation, a CAT will result in examinees answering…
Descriptors: Guessing (Tests), Test Construction, Test Length, Computer Assisted Testing