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Nagy, Gabriel; Ulitzsch, Esther; Lindner, Marlit Annalena – Journal of Computer Assisted Learning, 2023
Background: Item response times in computerized assessments are frequently used to identify rapid guessing behaviour as a manifestation of response disengagement. However, non-rapid responses (i.e., with longer response times) are not necessarily engaged, which means that response-time-based procedures could overlook disengaged responses.…
Descriptors: Guessing (Tests), Academic Persistence, Learner Engagement, Computer Assisted Testing
Childs, Ruth A.; Elgie, Susan; Brijmohan, Amanda; Yang, Jinli – Canadian Journal of Education, 2019
Fifth-grade students watched a short video and then responded to multiple-choice items, including several without correct answers. Based on computer-supported stimulated recall and semi-structured interviews, we tested three common assumptions about what students are thinking when they respond to multiple-choice items in spite of being uncertain…
Descriptors: Elementary School Students, Grade 5, Student Attitudes, Ambiguity (Context)
Jing Lu; Chun Wang; Ningzhong Shi – Grantee Submission, 2023
In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…
Descriptors: High Stakes Tests, Standardized Tests, Guessing (Tests), Cheating
Wise, Steven L.; Kingsbury, G. Gage – Applied Measurement in Education, 2022
In achievement testing we assume that students will demonstrate their maximum performance as they encounter test items. Sometimes, however, student performance can decline during a test event, which implies that the test score does not represent maximum performance. This study describes a method for identifying significant performance decline and…
Descriptors: Achievement Tests, Performance, Classification, Guessing (Tests)
Crosson, Amy C.; McKeown, Margaret G.; Ward, Arthur K., Jr. – Language Assessment Quarterly, 2019
The purpose of this research is to develop a vocabulary assessment, Evaluation of Academic Vocabulary or "EAV," that gauges students' depth of knowledge of academic words and is sensitive to vocabulary growth in the context of literacy interventions. We report results from two studies with native English-speaking middle school students…
Descriptors: Knowledge Level, Academic Language, Evaluation Methods, Literacy
Lin, Jing-Wen – Journal of Science Education and Technology, 2016
This study adopted a quasi-experimental design with follow-up interview to develop a computer-based two-tier assessment (CBA) regarding the science topic of electric circuits and to evaluate the diagnostic power of the assessment. Three assessment formats (i.e., paper-and-pencil, static computer-based, and dynamic computer-based tests) using…
Descriptors: Computer Assisted Testing, Diagnostic Tests, Quasiexperimental Design, Interviews
Falk, Carl F.; Cai, Li – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2015
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: Guessing (Tests), Item Response Theory, Mathematics Instruction, Mathematics Tests
Lee, Young-Sun; Park, Yoon Soo; Taylan, Didem – International Journal of Testing, 2011
Studies of international mathematics achievement such as the Trends in Mathematics and Science Study (TIMSS) have employed classical test theory and item response theory to rank individuals within a latent ability continuum. Although these approaches have provided insights into comparisons between countries, they have yet to examine how specific…
Descriptors: Mathematics Achievement, Achievement Tests, Models, Cognitive Measurement
Morton, Crystal Hill – International Journal of Education in Mathematics, Science and Technology, 2014
Educational systems throughout the world serve students from diverse populations. Often students from minority populations (i.e. racial, ethnic, linguistic, cultural, economic) face unique challenges when learning in contexts based on the cultural traditions and learning theories of the majority population. These challenges often leave minority…
Descriptors: Mathematics Education, African American Students, Racial Differences, Middle School Students