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Peer reviewed
Direct linkLothes, John E., II; Matney, Sara; Naseer, Zayne; Pfyffer, Riley – Mind, Brain, and Education, 2023
Research shows that mindfulness interventions for test anxiety in a college student population are beneficial (Lothes, Matney, & Naseer, 2022). This study assessed the effects of online mindfulness practices over a 5-week period on anxiety and test anxiety in college students. Participants included 20 students that were randomly assigned to…
Descriptors: Metacognition, Test Anxiety, College Students, Electronic Learning
Kang, Yewon; Ha, Hyorim; Lee, Hee Seung – Educational Psychology Review, 2023
Natural category learning is important in science education. One strategy that has been empirically supported for enhancing category learning is testing, which facilitates not only the learning of previously studied information (backward testing effect) but also the learning of newly studied information (forward testing effect). However, in…
Descriptors: Science Education, Science Tests, Testing, Classification
Kim, Rae Yeong; Yoo, Yun Joo – Journal of Educational Measurement, 2023
In cognitive diagnostic models (CDMs), a set of fine-grained attributes is required to characterize complex problem solving and provide detailed diagnostic information about an examinee. However, it is challenging to ensure reliable estimation and control computational complexity when The test aims to identify the examinee's attribute profile in a…
Descriptors: Models, Diagnostic Tests, Adaptive Testing, Accuracy
Kasli, Murat; Zopluoglu, Cengiz; Toton, Sarah L. – Journal of Educational Measurement, 2023
Response times (RTs) have recently attracted a significant amount of attention in the literature as they may provide meaningful information about item preknowledge. In this study, a new model, the Deterministic Gated Lognormal Response Time (DG-LNRT) model, is proposed to identify examinees with item preknowledge using RTs. The proposed model was…
Descriptors: Reaction Time, Test Items, Models, Familiarity
Kataoka, Yuki; Taito, Shunsuke; Yamamoto, Norio; So, Ryuhei; Tsutsumi, Yusuke; Anan, Keisuke; Banno, Masahiro; Tsujimoto, Yasushi; Wada, Yoshitaka; Sagami, Shintaro; Tsujimoto, Hiraku; Nihashi, Takashi; Takeuchi, Motoki; Terasawa, Teruhiko; Iguchi, Masahiro; Kumasawa, Junji; Ichikawa, Takumi; Furukawa, Ryuki; Yamabe, Jun; Furukawa, Toshi A. – Research Synthesis Methods, 2023
There are currently no abstract classifiers, which can be used for new diagnostic test accuracy (DTA) systematic reviews to select primary DTA study abstracts from database searches. Our goal was to develop machine-learning-based abstract classifiers for new DTA systematic reviews through an open competition. We prepared a dataset of abstracts…
Descriptors: Competition, Classification, Diagnostic Tests, Accuracy
Quane, Kate; Chinnappan, Mohan; Trenholm, Sven – Mathematics Education Research Journal, 2023
Understanding children's attitudes towards mathematics provides insights into their lived mathematical experience and engagement. Despite the considerable amount of research into students' attitudes toward mathematics, limited research has been conducted into "young children's" attitudes toward mathematics (YCATM). Within this limited…
Descriptors: Young Children, Childrens Attitudes, Mathematics, Freehand Drawing
Neuert, Cornelia E.; Meitinger, Katharina; Behr, Dorothée – Sociological Methods & Research, 2023
The method of web probing integrates cognitive interviewing techniques into web surveys and is increasingly used to evaluate survey questions. In a usual web probing scenario, probes are administered immediately after the question to be tested (concurrent probing), typically as open-ended questions. A second possibility of administering probes is…
Descriptors: Internet, Online Surveys, Test Items, Evaluation
Sinharay, Sandip – Journal of Educational Measurement, 2023
Technical difficulties and other unforeseen events occasionally lead to incomplete data on educational tests, which necessitates the reporting of imputed scores to some examinees. While there exist several approaches for reporting imputed scores, there is a lack of any guidance on the reporting of the uncertainty of imputed scores. In this paper,…
Descriptors: Evaluation Methods, Scores, Standardized Tests, Simulation
Chong, Sin Wang; Isaacs, Talia – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2023
Classroom-based assessment (CBA) takes place in learning environments influenced by myriad individual and contextual factors. Nevertheless, factors related to individual differences and learner psychology are seldom considered in creating instructional environments designed to facilitate learners' use of CBA. This article introduces the concept of…
Descriptors: Student Evaluation, Classroom Environment, Language Tests, Ecology
Hernandez, Nestor; Olson, Kristen; Smyth, Jolene D. – Field Methods, 2023
Questionnaire designers are encouraged to write questions as complete sentences. In self-administered surveys, incomplete question stems may reduce visual clutter but may also increase burden when respondents need to scan the response options to fully complete the question. We experimentally examine the effects of three categories of incomplete…
Descriptors: Surveys, Questionnaires, Test Construction, Reaction Time
Download full textWelsandt, Nina Charlotte Johanna; Abs, Hermann Josef – Journal of Social Science Education, 2023
Purpose: This paper analyses and classifies currently available English- and German-language measurement instruments for assessing economic literacy. It shows the content-related focuses and gaps of the extracted test instruments, the cognitive level of demand that characterises the instruments, the technical forms of implementation, and the…
Descriptors: Economics, Knowledge Level, Measures (Individuals), German
Chen, Yinghan; Wang, Shiyu – Journal of Educational and Behavioral Statistics, 2023
Attribute hierarchy, the underlying prerequisite relationship among attributes, plays an important role in applying cognitive diagnosis models (CDM) for designing efficient cognitive diagnostic assessments. However, there are limited statistical tools to directly estimate attribute hierarchy from response data. In this study, we proposed a…
Descriptors: Cognitive Measurement, Models, Bayesian Statistics, Computation
He, Yinhong; Qi, Yuanyuan – Journal of Educational Measurement, 2023
In multidimensional computerized adaptive testing (MCAT), item selection strategies are generally constructed based on responses, and they do not consider the response times required by items. This study constructed two new criteria (referred to as DT-inc and DT) for MCAT item selection by utilizing information from response times. The new designs…
Descriptors: Reaction Time, Adaptive Testing, Computer Assisted Testing, Test Items
Ben Babcock; Kim Brunnert – Journal of Applied Testing Technology, 2023
Automatic Item Generation (AIG) is an extremely useful tool to construct many high-quality exam items more efficiently than traditional item writing methods. A large pool of items, however, presents challenges like identifying a particular item to meet a specific need. For example, when making a fixed form exam, best practices forbid item stems…
Descriptors: Test Items, Automation, Algorithms, Artificial Intelligence
Özdemir, Ezgi Çetinkaya; Akyol, Hayati – Universal Journal of Educational Research, 2019
Reading comprehension has an important place in lifelong learning. It is an interactive process between the reader and the text. Students need reading comprehension skills at all educational levels and for all school subjects. Determining the level of students' reading comprehension skills is the subject of testing and evaluation. Tests used to…
Descriptors: Reading Comprehension, Reading Tests, Test Construction, Grade 4
