Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 5 |
Descriptor
Computer Assisted Testing | 5 |
Statistical Distributions | 5 |
Adaptive Testing | 2 |
Item Banks | 2 |
Mathematics Tests | 2 |
Test Items | 2 |
Achievement Tests | 1 |
Ambiguity (Context) | 1 |
Automation | 1 |
Bayesian Statistics | 1 |
Case Studies | 1 |
More ▼ |
Source
Journal of Educational… | 2 |
Educational Policy | 1 |
Journal of Educational and… | 1 |
Practical Assessment,… | 1 |
Author
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Education Level
Elementary Secondary Education | 1 |
High Schools | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Trends in International… | 1 |
What Works Clearinghouse Rating
Karyssa A. Courey; Frederick L. Oswald; Steven A. Culpepper – Practical Assessment, Research & Evaluation, 2024
Historically, organizational researchers have fully embraced frequentist statistics and null hypothesis significance testing (NHST). Bayesian statistics is an underused alternative paradigm offering numerous benefits for organizational researchers and practitioners: e.g., accumulating direct evidence for the null hypothesis (vs. 'fail to reject…
Descriptors: Bayesian Statistics, Statistical Distributions, Researchers, Institutional Research
Ersen, Rabia Karatoprak; Lee, Won-Chan – Journal of Educational Measurement, 2023
The purpose of this study was to compare calibration and linking methods for placing pretest item parameter estimates on the item pool scale in a 1-3 computerized multistage adaptive testing design in terms of item parameter recovery. Two models were used: embedded-section, in which pretest items were administered within a separate module, and…
Descriptors: Pretesting, Test Items, Computer Assisted Testing, Adaptive Testing
Giada Spaccapanico Proietti; Mariagiulia Matteucci; Stefania Mignani; Bernard P. Veldkamp – Journal of Educational and Behavioral Statistics, 2024
Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…
Descriptors: Automation, Computer Assisted Testing, Ambiguity (Context), Item Response Theory
Kang, Hyeon-Ah; Zhang, Susu; Chang, Hua-Hua – Journal of Educational Measurement, 2017
The development of cognitive diagnostic-computerized adaptive testing (CD-CAT) has provided a new perspective for gaining information about examinees' mastery on a set of cognitive attributes. This study proposes a new item selection method within the framework of dual-objective CD-CAT that simultaneously addresses examinees' attribute mastery…
Descriptors: Computer Assisted Testing, Adaptive Testing, Cognitive Tests, Test Items
Cornell, Dewey G.; Krosnick, Jon A.; Chang, LinChiat – Educational Policy, 2006
How do students react to being told that they have failed a test required for high school graduation? In 2000, 7,989 students were wrongly informed that they had failed the Minnesota Basic Standards Test in mathematics. The authors conducted a survey of 911 of these students to assess the psychosocial impact of this event. More than 80% of…
Descriptors: Student Reaction, High Stakes Tests, Failure, Mathematics Tests