Results 161 to 170 of about 24,469 (232)

A Topic Testlet Model for Calibrating Testlet Constructed Responses

open access: yesJournal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Constructed responses (CRs) within testlets are widely used to assess complex skills but can pose calibration challenges due to local item dependence. A few current testlet models incorporate testlet‐specific effects to address local dependence but struggle with interpreting these effects and may not fully capture the complexities of CR items ...
Jiawei Xiong   +8 more
wiley   +1 more source

A Group Fit Statistic for the Multilevel Item Response Model

open access: yesJournal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Aberrant behaviors among test‐takers in large‐scale assessments are often more prevalent within specific groups or testing sites. While various techniques have been developed to detect individual‐level test‐takers' aberrant behaviors, research in detecting those behaviors at the group level is rare. We propose a group fit statistic lz2$ l_{z2}$
Yishan Ding, Ji Seung Yang, Youngjin Han
wiley   +1 more source

Toward Psychometric Learning Analytics: Augmenting the Urnings Algorithm with Response Times

open access: yesJournal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Adaptive learning systems (ALS) aim to tailor the educational material to match the student's needs, ultimately improving the learning outcomes. An ALS dynamically adjust the level of practice based on the student's ability; therefore, obtaining accurate ability estimates is crucial.
Bence Gergely, Maria Bolsinova
wiley   +1 more source

Improving Ability Estimation Accuracy for Automated Item Generated Forms under Multistage Testing

open access: yesJournal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract The emergence of automated item generation (AIG) techniques has intensified discussions around their application in assessment development. Some testing companies have already begun developing software to construct exams using AIG. However, the current literature offers limited insights into the characteristics of items generated through AIG ...
Stella Y. Kim, Won‐Chan Lee
wiley   +1 more source

Generalizability Theory for Randomly Parallel Testing

open access: yesJournal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Advancements in artificial intelligence (AI) have brought significant changes to testing practices, including the emergence of randomly parallel testing (RPT), in which examinees receive different but psychometrically similar sets of items generated from templates or AI‐based systems.
Won‐Chan Lee   +2 more
wiley   +1 more source

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