Results 11 to 20 of about 2,992,674 (293)
Binomial Test Models and Item Difficulty [PDF]
In choosing a binomial test model, it is impor tant to know exactly what conditions are imposed on item difficulty. In this paper these conditions are examined for both a deterministic and a sto chastic conception of item responses. It appears that they are more restrictive than is generally understood and differ for both conceptions. When the binomial
Van der Linden, Wim J.
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Item and task difficulty in a B2 reading examination: perceptions of test-takers and CEFR alignment experts compared with psychometric measurements [PDF]
The article presents a study of a CEFR B2-level reading subtest that is part of the Slovenian national secondary school leaving examination in English as a foreign language, and compares the test-taker actual performance (objective difficulty) with the ...
Andrej Stopar, Gašper Ilc
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Applying a two-parameter item response model to explore the psychometric properties: The case of the ministry of Science, Research and Technology (MSRT) high-stakes English Language Proficiency test [PDF]
Perhaps the degree of test difficulty is one of the most significant characteristics of a test. However, no empirical research on the difficulty of the MSRT test has been carried out.
Shahram Ghahraki +2 more
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The Effect of Item Pools of Different Strengths on the Test Results of Computerized-Adaptive Testing
Item response theory provides various important advantages for exams carried out or to be carried out digitally. For computerized adaptive tests to be able to make valid and reliable predictions supported by IRT, good quality item pools should be used ...
Fatih Kezer
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The development and evaluation of valid assessments of scientific reasoning are an integral part of research in science education. In the present study, we used the linear logistic test model (LLTM) to analyze how item features related to text complexity
Moritz Krell, Samia Khan, Jan van Driel
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This work presents a comparative analysis of various machine learning (ML) methods for predicting item difficulty in English reading comprehension tests using text features extracted from item wordings.
Lubomír Štěpánek +2 more
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This study aims to analyze an assessment instrument, mainly the characteristics of the test items, by using a Quest program. This study is a descriptive quantitative study in one school in Yogyakarta.
Ikhsanudin Ikhsanudin +3 more
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Parameters and Models of Item Response Theory (IRT): A Review of Literature
Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students’ ability from any set of the items.
Gyamfi Abraham, Acquaye Rosemary
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Psychometric Properties of 3-, 4-, and 5-Option Item Tests: Do Test Takers’ Personality Traits Make a Difference? [PDF]
Prior research has yielded mixed results regarding what contributes psychometrically sound multiple-choice (MC) items. The purpose of the present study was, therefore, twofold: (a) to compare 3-, 4-, and 5-option multiple-choice (MC) tests in terms of ...
Fatemeh Khaleghi, Rajab Esfandiari
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