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Boote, Stacy K.; Boote, David N.; Williamson, Steven – Cogent Education, 2021
Several decades of research suggesting differences in test performance across paper-based and computer-based assessments have been largely ameliorated through attention to test presentation equivalence, though no studies to date have focused on graph comprehension items. Test items requiring graph comprehension are increasingly common but may be…
Descriptors: Graduate Students, Masters Programs, Business Administration Education, Graphs
Pelánek, Radek; Rihák, Ji?rí – International Educational Data Mining Society, 2016
In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…
Descriptors: Foreign Countries, Online Systems, Geography, Anatomy
Hauser, Carl; Thum, Yeow Meng; He, Wei; Ma, Lingling – Educational and Psychological Measurement, 2015
When conducting item reviews, analysts evaluate an array of statistical and graphical information to assess the fit of a field test (FT) item to an item response theory model. The process can be tedious, particularly when the number of human reviews (HR) to be completed is large. Furthermore, such a process leads to decisions that are susceptible…
Descriptors: Test Items, Item Response Theory, Research Methodology, Decision Making
A Zero-One Programming Approach to Gulliksen's Matched Random Subtests Method. Research Report 86-4.
van der Linden, Wim J.; Boekkooi-Timminga, Ellen – 1986
In order to estimate the classical coefficient of test reliability, parallel measurements are needed. H. Gulliksen's matched random subtests method, which is a graphical method for splitting a test into parallel test halves, has practical relevance because it maximizes the alpha coefficient as a lower bound of the classical test reliability…
Descriptors: Algorithms, Computer Assisted Testing, Computer Software, Difficulty Level
Peer reviewedDodd, Barbara G.; And Others – Educational and Psychological Measurement, 1993
Effects of the following variables on performance of computerized adaptive testing (CAT) procedures for the partial credit model (PCM) were studied: (1) stopping rule for terminating CAT; (2) item pool size; and (3) distribution of item difficulties. Implications of findings for CAT systems based on the PCM are discussed. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Difficulty Level
Peer reviewedTait, K.; Hughes, I. E. – Computers and Education, 1984
Describes a computerized system which presents objective test items to students, and upon question completion, provides immediate feedback with correct answers and explanations. Use of the system by pharmacology students and an analysis of end-of-year examination results are presented. (Author/MBR)
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Computer Software, Data Analysis

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