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Kárász, Judit T.; Széll, Krisztián; Takács, Szabolcs – Quality Assurance in Education: An International Perspective, 2023
Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…
Descriptors: Test Length, Probability, Comparative Analysis, Difficulty Level
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Kaur, Parneet; Singh, Manpreet; Singh Josan, Gurpreet – Education and Information Technologies, 2017
Rank Aggregation techniques have found wide applications for metasearch along with other streams such as Sports, Voting System, Stock Markets, and Reduction in Spam. This paper presents the optimization of rank lists for web queries put by the user on different MetaSearch engines. A metaheuristic approach such as Genetic algorithm based rank…
Descriptors: Comparative Analysis, Search Engines, Genetics, Mathematical Formulas
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Falk, Carl F.; Cai, Li – Journal of Educational Measurement, 2016
We present a logistic function of a monotonic polynomial with a lower asymptote, allowing additional flexibility beyond the three-parameter logistic model. We develop a maximum marginal likelihood-based approach to estimate the item parameters. The new item response model is demonstrated on math assessment data from a state, and a computationally…
Descriptors: Item Response Theory, Guessing (Tests), Mathematics Tests, Simulation
Willson, Victor L. – 1977
A major deficiency in classical test theory is the reliance on Pearson product-moment (PPM) correlation concepts in the definition of reliability. PPM measures are totally insensitive to first moment differences in tests which leads to the dubious assumption of essential tan-equivalence. Robinson proposed a measure of agreement that is sensitive…
Descriptors: Comparative Analysis, Correlation, Difficulty Level, Mathematical Formulas
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Carter, David S. – Educational and Psychological Measurement, 1979
There are a variety of formulas for reducing the positive bias which occurs in estimating R squared in multiple regression or correlation equations. Five different formulas are evaluated in a Monte Carlo study, and recommendations are made. (JKS)
Descriptors: Comparative Analysis, Correlation, Mathematical Formulas, Multiple Regression Analysis
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Bell, D. A.; And Others – Journal of the American Society for Information Science, 1990
Investigates the value of applying principles derived from simulated annealing to clustering tuples in database design, and compares this technique with a graph-collapsing clustering method. It is concluded that, while the new method does give superior results, the expense involved in algorithm run time is prohibitive. (24 references) (CLB)
Descriptors: Algorithms, Comparative Analysis, Computer Simulation, Cost Effectiveness
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Glaser, Jack – Journal of Policy Analysis and Management, 2006
Racial profiling--the use of race, ethnicity, or national origin by law enforcement officials to make judgments of criminal suspicion--is assessed in terms of its effect on targeted populations and on law enforcement efficiency. A mathematical simulation, comparing multiple profiling and non-profiling scenarios, is employed. This analysis…
Descriptors: Racial Bias, Ethnicity, Criminals, Law Enforcement
Cox, Robert S. – 1980
The distribution of funds for university administration and support for a hypothetical state university system using 11 state funding formulas is reviewed. Data for a hypothetical system of 11 institutions of varying size and student level mix were used. The distributions for university administration and support include library support, student…
Descriptors: Budgeting, College Administration, Comparative Analysis, Cost Effectiveness