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The relative difficulties, discrimination and 'guessabilities' of each theme of question were compared with each other using Analysis of Variance (ANOVA).
Research has thus suggested that economic difficulties, discrimination and language difficulties are among the most important resettlement challenges for refugees [ 12, 13].
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Do the questions and tests generated from ontologies have satisfactory difficulty, discrimination and reliability values?
First, it assesses the auto-generated questions' difficulty, discrimination, and reliability using two statistical methods: Classical Test Theory (CTT) and Item Response Theory (IRT).
Question's difficulty, discrimination, and reliability values depend on the sample of students and the ability of students depends on the assessment test.
This experiment aims to answer two main questions: 1. Do the questions and tests generated from ontologies have satisfactory difficulty, discrimination and reliability values? 2.
However, IRT addresses the CTT drawbacks by achieving the following (Baker 2001; Reckase 2009): 1) The question's difficulty and discrimination values measured using IRT are sample independent, i.e., question's difficulty discrimination values does not change across different samples of students such as high ability and low ability students.
It would be expected that using the three-parameter logistic IRT (difficulty, discrimination, and guessing), CATSIB could accurately and consistently detect DIF on an MSCAT of English proficiency among different focal and reference groups.
However, Taguchi et al. did not report reliability coefficients for their instrument, nor did they provide individual item statistics (e.g., difficulty, discrimination, and fit statistics) and results of the distractor analysis.
Even though the CTT is widely used in evaluating the questions and tests in learning environments (Schmidt and Embretson 2003), it is limited in several ways: 1) Question's difficulty, discrimination, and reliability values vary across different samples of students (Haladyna 1994).
Coefficients of difficulty, discrimination and impact on the test's overall reliability are computed at question and case levels.
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