Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Achievement Tests | 3 |
Foreign Countries | 3 |
International Assessment | 3 |
Reaction Time | 3 |
Responses | 3 |
Secondary School Students | 3 |
Accuracy | 1 |
Algorithms | 1 |
Bayesian Statistics | 1 |
Behavior | 1 |
Behavior Patterns | 1 |
More ▼ |
Author
Chun Wang | 1 |
Domingue, Benjamin W. | 1 |
Ercikan, Kadriye | 1 |
Guo, Hongwen | 1 |
He, Qiwei | 1 |
Jing Lu | 1 |
Jiwei Zhang | 1 |
Kanopka, Klint | 1 |
Kapoor, Radhika | 1 |
Rios, Joseph A. | 1 |
Ulitzsch, Esther | 1 |
More ▼ |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Education Level
Secondary Education | 3 |
Audience
Location
Canada | 1 |
China | 1 |
North America | 1 |
South Korea | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 3 |
What Works Clearinghouse Rating
Ulitzsch, Esther; Domingue, Benjamin W.; Kapoor, Radhika; Kanopka, Klint; Rios, Joseph A. – Educational Measurement: Issues and Practice, 2023
Common response-time-based approaches for non-effortful response behavior (NRB) in educational achievement tests filter responses that are associated with response times below some threshold. These approaches are, however, limited in that they require a binary decision on whether a response is classified as stemming from NRB; thus ignoring…
Descriptors: Reaction Time, Responses, Behavior, Achievement Tests
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
Ercikan, Kadriye; Guo, Hongwen; He, Qiwei – Educational Assessment, 2020
Comparing group is one of the key uses of large-scale assessment results, which are used to gain insights to inform policy and practice and to examine the comparability of scores and score meaning. Such comparisons typically focus on examinees' final answers and responses to test questions, ignoring response process differences groups may engage…
Descriptors: Data Use, Responses, Comparative Analysis, Test Bias