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Wang, Yu; Chiu, Chia-Yi; Köhn, Hans Friedrich – Journal of Educational and Behavioral Statistics, 2023
The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…
Descriptors: Multiple Choice Tests, Nonparametric Statistics, Test Format, Educational Assessment
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Fadillah, Sarah Meilani; Ha, Minsu; Nuraeni, Eni; Indriyanti, Nurma Yunita – Malaysian Journal of Learning and Instruction, 2023
Purpose: Researchers discovered that when students were given the opportunity to change their answers, a majority changed their responses from incorrect to correct, and this change often increased the overall test results. What prompts students to modify their answers? This study aims to examine the modification of scientific reasoning test, with…
Descriptors: Science Tests, Multiple Choice Tests, Test Items, Decision Making
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Delican, Burak – International Journal of Curriculum and Instruction, 2022
In this research, the questions in the Turkish Course (2,3,4) Worksheets were examined in terms of various classification systems. In this direction, the questions in the worksheets were evaluated with the document-material analysis technique in accordance with the structure of the qualitative research. During the research process, Turkish Course…
Descriptors: Worksheets, Elementary School Students, Turkish, Classification
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Çiftçi, Sabahattin – International Electronic Journal of Elementary Education, 2019
Open-ended exams and multiple-choice exams are two types of examinations that are highly preferred in educational sciences. They have several advantages in terms of their characteristics, and they also have some limitations. These advantages and limitations affect the use of these exams both in national exams and in the exams administered by…
Descriptors: Multiple Choice Tests, Test Format, Preservice Teachers, Figurative Language
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Chen, Qingwei; Zhu, Guangtian; Liu, Qiaoyi; Han, Jing; Fu, Zhao; Bao, Lei – Physical Review Physics Education Research, 2020
Problem-solving categorization tasks have been well studied and used as an effective tool for assessment of student knowledge structure. In this study, a traditional free-response categorization test has been modified into a multiple-choice format, and the effectiveness of this new assessment is evaluated. Through randomized testing with Chinese…
Descriptors: Foreign Countries, Test Construction, Multiple Choice Tests, Problem Solving
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Wheatley, Christopher; Wells, James; Henderson, Rachel; Stewart, John – Physical Review Physics Education Research, 2021
The Conceptual Survey of Electricity and Magnetism (CSEM) is a widely used multiple-choice instrument measuring a student's conceptual understanding of electricity and magnetism. This study applied modified module analysis (MMA) and modified module analysis-partial (MMA-P), network analytic methods that identify groups of correlated responses, to…
Descriptors: Physics, Science Instruction, Energy, Multiple Choice Tests
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Baha, Kamal; Shishido, Makoto – Journal of Interactive Learning Research, 2022
This study focused on the development of the word level classification vocabulary learning (WCVL) system and the measurement of its effectiveness in terms of the potential of the system and learners' improvement in learning English material through the WCVL system. There are many ways to improve reading comprehension for those learning English as…
Descriptors: Vocabulary Development, Classification, Instructional Effectiveness, Second Language Learning
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Malec, Wojciech; Krzeminska-Adamek, Malgorzata – Practical Assessment, Research & Evaluation, 2020
The main objective of the article is to compare several methods of evaluating multiple-choice options through classical item analysis. The methods subjected to examination include the tabulation of choice distribution, the interpretation of trace lines, the point-biserial correlation, the categorical analysis of trace lines, and the investigation…
Descriptors: Comparative Analysis, Evaluation Methods, Multiple Choice Tests, Item Analysis
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Hijada, Maximo V., Jr.; Dela Cruz, Melodina L. – Online Submission, 2022
This study was conducted to determine the degree of relationship that exists between learners' level of comprehension and solving skills on mathematical word problems of grades four to six learners in Kang-iras Elementary School. It attempted to establish a relationship between the learners' level of comprehension and solving skills. This research…
Descriptors: Mathematics Instruction, Problem Solving, Correlation, Elementary School Students
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Açikgül Firat, Esra; Köksal, Mustafa S. – Biochemistry and Molecular Biology Education, 2019
In this study, a 'biotechnology literacy test' was developed to determine the biotechnology literacy of prospective science teachers, and its validity and reliability were determined. For this purpose, 42 items were prepared by considering Bybee's scientific literacy classifications (nominal, functional, procedural, and multidimensional). The…
Descriptors: Test Construction, Multiple Choice Tests, Science Teachers, Preservice Teachers
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Smith, J. Alexander; Dickinson, John R. – International Journal for Business Education, 2017
Published banks of multiple-choice questions are ubiquitous, the questions in those banks often being classified into levels of difficulty. The specific level of difficulty into which a question is classified might or should be a function of the question's substance. Possibly, though, insubstantive aspects of the question, such as the incidence of…
Descriptors: Correlation, Multiple Choice Tests, Difficulty Level, Classification
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Deng, Weiling; Monfils, Lora – ETS Research Report Series, 2017
Using simulated data, this study examined the impact of different levels of stringency of the valid case inclusion criterion on item response theory (IRT)-based true score equating over 5 years in the context of K-12 assessment when growth in student achievement is expected. Findings indicate that the use of the most stringent inclusion criterion…
Descriptors: Item Response Theory, Equated Scores, True Scores, Educational Assessment
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Briggs, Derek C.; Circi, Ruhan – International Journal of Testing, 2017
Artificial Neural Networks (ANNs) have been proposed as a promising approach for the classification of students into different levels of a psychological attribute hierarchy. Unfortunately, because such classifications typically rely upon internally produced item response patterns that have not been externally validated, the instability of ANN…
Descriptors: Artificial Intelligence, Classification, Student Evaluation, Tests
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Kim, Kerry J.; Meir, Eli; Pope, Denise S.; Wendel, Daniel – Journal of Educational Data Mining, 2017
Computerized classification of student answers offers the possibility of instant feedback and improved learning. Open response (OR) questions provide greater insight into student thinking and understanding than more constrained multiple choice (MC) questions, but development of automated classifiers is more difficult, often requiring training a…
Descriptors: Classification, Computer Assisted Testing, Multiple Choice Tests, Test Format
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Thompson, Andrew R.; O'Loughlin, Valerie D. – Anatomical Sciences Education, 2015
Bloom's taxonomy is a resource commonly used to assess the cognitive level associated with course assignments and examination questions. Although widely utilized in educational research, Bloom's taxonomy has received limited attention as an analytical tool in the anatomical sciences. Building on previous research, the Blooming Anatomy Tool (BAT)…
Descriptors: Anatomy, Classification, Scoring Rubrics, Multiple Choice Tests
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