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Mahmut Sami Koyuncu; Mehmet Sata – International Journal of Assessment Tools in Education, 2023
The main aim of this study was to introduce the ConQuest program, which is used in the analysis of multivariate and multidimensional data structures, and to show its applications on example data structures. To achieve this goal, a basic research approach was applied. Thus, how to use the ConQuest program and how to prepare the data set for…
Descriptors: Data Analysis, Computer Oriented Programs, Models, Test Items
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Ugray, Zsolt; Dunn, Brian K. – Journal of Information Systems Education, 2022
As Information Systems courses have become both more data-focused and student numbers have increased, there has emerged a greater need to assess technical and analytical skills more efficiently and effectively. Multiple-choice examinations provide a means for accomplishing this, though creating effective multiple-choice assessment items within a…
Descriptors: Quality Assurance, Information Systems, Computer Science Education, Student Evaluation
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Saatcioglu, Fatima Munevver; Atar, Hakan Yavuz – International Journal of Assessment Tools in Education, 2022
This study aims to examine the effects of mixture item response theory (IRT) models on item parameter estimation and classification accuracy under different conditions. The manipulated variables of the simulation study are set as mixture IRT models (Rasch, 2PL, 3PL); sample size (600, 1000); the number of items (10, 30); the number of latent…
Descriptors: Accuracy, Classification, Item Response Theory, Programming Languages
Xue, Kang; Huggins-Manley, Anne Corinne; Leite, Walter – Educational and Psychological Measurement, 2022
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…
Descriptors: Virtual Classrooms, Artificial Intelligence, Item Response Theory, Item Analysis
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Spratto, Elisabeth M.; Leventhal, Brian C.; Bandalos, Deborah L. – Educational and Psychological Measurement, 2021
In this study, we examined the results and interpretations produced from two different IRTree models--one using paths consisting of only dichotomous decisions, and one using paths consisting of both dichotomous and polytomous decisions. We used data from two versions of an impulsivity measure. In the first version, all the response options had…
Descriptors: Comparative Analysis, Item Response Theory, Decision Making, Data Analysis
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Alammary, Ali – IEEE Transactions on Learning Technologies, 2021
Developing effective assessments is a critical component of quality instruction. Assessments are effective when they are well-aligned with the learning outcomes, can confirm that all intended learning outcomes are attained, and their obtained grades are accurately reflecting the level of student achievement. Developing effective assessments is not…
Descriptors: Outcomes of Education, Alignment (Education), Student Evaluation, Data Analysis
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Brinkhuis, Matthieu J. S.; Savi, Alexander O.; Hofman, Abe D.; Coomans, Frederik; van der Maas, Han L. J.; Maris, Gunter – Journal of Learning Analytics, 2018
With the advent of computers in education, and the ample availability of online learning and practice environments, enormous amounts of data on learning become available. The purpose of this paper is to present a decade of experience with analyzing and improving an online practice environment for math, which has thus far recorded over a billion…
Descriptors: Data Analysis, Mathematics Instruction, Accuracy, Reaction Time
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Ace, Merle C.; Dawis, Rene V. – Educational and Psychological Measurement, 1973
Because no previous study was found in which both blank position in the item stem and positional placement of the correct response were studied simultaneously, it was decided to investigate the influence of these two factors, alone and in combination, on the difficulty level of verbal analogy items. (Authors)
Descriptors: Analysis of Variance, Data Analysis, Difficulty Level, Disadvantaged
Hill, Richard K. – 1979
Four problems faced by the staff of the California Assessment Program (CAP) were solved by applying Rasch scaling techniques: (1) item cultural bias in the Entry Level Test (ELT) given to all first grade pupils; (2) nonlinear regression analysis of the third grade Reading Test scores; (3) comparison of school growth from grades two to three, using…
Descriptors: Black Students, Cultural Differences, Data Analysis, Difficulty Level
Wu, Margaret; Donovan, Jenny; Hutton, Penny; Lennon, Melissa – Ministerial Council on Education, Employment, Training and Youth Affairs (NJ1), 2008
In July 2001, the Ministerial Council on Education, Employment, Training and Youth Affairs (MCEETYA) agreed to the development of assessment instruments and key performance measures for reporting on student skills, knowledge and understandings in primary science. It directed the newly established Performance Measurement and Reporting Taskforce…
Descriptors: Foreign Countries, Scientific Literacy, Science Achievement, Comparative Analysis