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Çokluk, Ömay; Gül, Emrah; Dogan-Gül, Çilem – Educational Sciences: Theory and Practice, 2016
The study aims to examine whether differential item function is displayed in three different test forms that have item orders of random and sequential versions (easy-to-hard and hard-to-easy), based on Classical Test Theory (CTT) and Item Response Theory (IRT) methods and bearing item difficulty levels in mind. In the correlational research, the…
Descriptors: Test Bias, Test Items, Difficulty Level, Test Theory
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Agus, Mirian; Penna, Maria Pietronilla; Peró-Cebollero, Maribel; Guàrdia-Olmos, Joan – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Research on the graphical facilitation of probabilistic reasoning has been characterised by the effort expended to identify valid assessment tools. The authors developed an assessment instrument to compare reasoning performances when problems were presented in verbal-numerical and graphical-pictorial formats. A sample of undergraduate psychology…
Descriptors: Probability, Abstract Reasoning, Thinking Skills, Educational Assessment
Green-Gibson, Andrea – ProQuest LLC, 2011
This mixed, causal-comparative study was an investigation of culture infusion methods and AYP of two different public schools in Chicago, a school that infuses African culture and a school that does not. The purpose of the study was to identify if there was a significant causative relationship between culture infusion methods and Adequate Yearly…
Descriptors: Urban Schools, Public Schools, Correlation, Academic Achievement
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Zimmerman, Donald W. – Educational and Psychological Measurement, 1976
Using the concepts of conditional probability, conditional expectation, and conditional independence, the main results of the classical test theory model can be derived in a very few steps with minimal assumptions. The present effort explores the possibility that present classical test theories can be further condensed. (Author/RC)
Descriptors: Career Development, Correlation, Mathematical Models, Measurement
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Schulman, Robert S. – Psychometrika, 1979
An alternative to the uniform probability distribution model for ordinal data is considered. Implications for statistics and for test theory are discussed. (JKS)
Descriptors: Career Development, Correlation, Mathematical Models, Nonparametric Statistics