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Ole J. Kemi – Advances in Physiology Education, 2025
Students are assessed by coursework and/or exams, all of which are marked by assessors (markers). Student and marker performances are then subject to end-of-session board of examiner handling and analysis. This occurs annually and is the basis for evaluating students but also the wider learning and teaching efficiency of an academic institution.…
Descriptors: Undergraduate Students, Evaluation Methods, Evaluation Criteria, Academic Standards
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Kim, Stella Yun; Lee, Won-Chan – Applied Measurement in Education, 2023
This study evaluates various scoring methods including number-correct scoring, IRT theta scoring, and hybrid scoring in terms of scale-score stability over time. A simulation study was conducted to examine the relative performance of five scoring methods in terms of preserving the first two moments of scale scores for a population in a chain of…
Descriptors: Scoring, Comparative Analysis, Item Response Theory, Simulation
Ziying Li; A. Corinne Huggins-Manley; Walter L. Leite; M. David Miller; Eric A. Wright – Educational and Psychological Measurement, 2022
The unstructured multiple-attempt (MA) item response data in virtual learning environments (VLEs) are often from student-selected assessment data sets, which include missing data, single-attempt responses, multiple-attempt responses, and unknown growth ability across attempts, leading to a complex and complicated scenario for using this kind of…
Descriptors: Sequential Approach, Item Response Theory, Data, Simulation
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Manna, Venessa F.; Gu, Lixiong – ETS Research Report Series, 2019
When using the Rasch model, equating with a nonequivalent groups anchor test design is commonly achieved by adjustment of new form item difficulty using an additive equating constant. Using simulated 5-year data, this report compares 4 approaches to calculating the equating constants and the subsequent impact on equating results. The 4 approaches…
Descriptors: Item Response Theory, Test Items, Test Construction, Sample Size
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Kelly, Sean; Ye, Feifei – Journal of Experimental Education, 2017
Educational analysts studying achievement and other educational outcomes frequently encounter an association between initial status and growth, which has important implications for the analysis of covariate effects, including group differences in growth. As explicated by Allison (1990), where only two time points of data are available, identifying…
Descriptors: Regression (Statistics), Models, Error of Measurement, Scores
Brandt, David A. – 1982
This report describes and evaluates the major computer software packages capable of computing standard errors for statistics estimated from complex samples. It first describes the problem and the proposed solutions. The two major programs presently available, SUPER CARP and OSIRIS, are described in general terms. The kinds of statistics available…
Descriptors: Analysis of Variance, Cluster Analysis, Computer Software Reviews, Correlation
Russ-Eft, Darlene F. – 1981
A framework is described for preparing process profiles of two different surveys conducted by the National Center for Education Statistics (NCES): the Recent College Graduates Survey and the Higher Education General Information Survey (HEGIS) Fall Enrollment Survey. The process profile examines the adequacy of the entire survey process, using…
Descriptors: College Graduates, Error of Measurement, Evaluation Criteria, Evaluation Methods