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Pools, Elodie – Applied Measurement in Education, 2022
Many low-stakes assessments, such as international large-scale surveys, are administered during time-limited testing sessions and some test-takers are not able to endorse the last items of the test, resulting in not-reached (NR) items. However, because the test has no consequence for the respondents, these NR items can also stem from quitting the…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Kuang, Huan; Sahin, Fusun – Large-scale Assessments in Education, 2023
Background: Examinees may not make enough effort when responding to test items if the assessment has no consequence for them. These disengaged responses can be problematic in low-stakes, large-scale assessments because they can bias item parameter estimates. However, the amount of bias, and whether this bias is similar across administrations, is…
Descriptors: Test Items, Comparative Analysis, Mathematics Tests, Reaction Time
Zari Saeedi; Hessameddin Ghanbar; Mahdi Rezaei – International Journal of Language Testing, 2024
Despite being a popular topic in language testing, cognitive load has not received enough attention in vocabulary test items. The purpose of the current study was to scrutinize the cognitive load and vocabulary test items' differences, examinees' reaction times, and perceived difficulty. To this end, 150 students were selected using…
Descriptors: Language Tests, Test Items, Difficulty Level, Vocabulary Development
A Sequential Bayesian Changepoint Detection Procedure for Aberrant Behaviors in Computerized Testing
Jing Lu; Chun Wang; Jiwei Zhang; Xue Wang – Grantee Submission, 2023
Changepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is pivotal to properly differentiate examinees' aberrant behaviors from solution behavior to ensure test reliability and validity. In this paper, we propose a sequential Bayesian changepoint detection algorithm to…
Descriptors: Bayesian Statistics, Behavior Patterns, Computer Assisted Testing, Accuracy
Lee, Mi Yeon; Lim, Woong – International Electronic Journal of Mathematics Education, 2020
This study investigates patterns exhibited by pre-service teachers (PSTs) while practicing feedback in response to students' solutions on a procedure-based mathematics assessment. First, we developed an analytical framework for understanding mathematics PSTs' written feedback. Second, we looked into how a learning module on a multimedia platform…
Descriptors: Preservice Teachers, Feedback (Response), Test Items, Behavior Patterns