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Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2021
Large-scale assessments (LSAs) use Mislevy's "plausible value" (PV) approach to relate student proficiency to noncognitive variables administered in a background questionnaire. This method requires background variables to be completely observed, a requirement that is seldom fulfilled. In this article, we evaluate and compare the…
Descriptors: Data Analysis, Error of Measurement, Research Problems, Statistical Inference
Teig, Nani; Scherer, Ronny; Kjaernsli, Marit – Journal of Research in Science Teaching, 2020
Previous research has demonstrated the potential of examining log-file data from computer-based assessments to understand student interactions with complex inquiry tasks. Rather than solely providing information about what has been achieved or the accuracy of student responses ("product data"), students' log files offer additional…
Descriptors: Science Process Skills, Thinking Skills, Inquiry, Simulation
Scoular, Claire; Eleftheriadou, Sofia; Ramalingam, Dara; Cloney, Dan – Australian Journal of Education, 2020
Collaboration is a complex skill, comprised of multiple subskills, that is of growing interest to policy makers, educators and researchers. Several definitions and frameworks have been described in the literature to support assessment of collaboration; however, the inherent structure of the construct still needs better definition. In 2015, the…
Descriptors: Cooperative Learning, Problem Solving, Computer Assisted Testing, Comparative Analysis
Rutkowski, David; Rutkowski, Leslie; Liaw, Yuan-Ling – Educational Measurement: Issues and Practice, 2018
Participation in international large-scale assessments has grown over time with the largest, the Programme for International Student Assessment (PISA), including more than 70 education systems that are economically and educationally diverse. To help accommodate for large achievement differences among participants, in 2009 PISA offered…
Descriptors: Educational Assessment, Foreign Countries, Achievement Tests, Secondary School Students
Yang, Ji Seung; Zheng, Xiaying – Journal of Educational and Behavioral Statistics, 2018
The purpose of this article is to introduce and review the capability and performance of the Stata item response theory (IRT) package that is available from Stata v.14, 2015. Using a simulated data set and a publicly available item response data set extracted from Programme of International Student Assessment, we review the IRT package from…
Descriptors: Item Response Theory, Item Analysis, Computer Software, Statistical Analysis
She, Hsiao-Ching; Lin, Huann-shyang; Huang, Li-Yu – Journal of Research in Science Teaching, 2019
Abstract The 2015 Programme for International Student Assessment (PISA) has drawn a substantial amount of attention from science educators and educational policymakers because it marked the first time that PISA assessed students' ability to evaluate and design scientific inquiry using computer-based simulations. We undertook a secondary analysis…
Descriptors: Scientific Literacy, Foreign Countries, Science Instruction, Resilience (Psychology)
Herborn, Katharina; Mustafic, Maida; Greiff, Samuel – Journal of Educational Measurement, 2017
Collaborative problem solving (CPS) assessment is a new academic research field with a number of educational implications. In 2015, the Programme for International Student Assessment (PISA) assessed CPS with a computer-simulated human-agent (H-A) approach that claimed to measure 12 individual CPS skills for the first time. After reviewing the…
Descriptors: Cooperative Learning, Problem Solving, Computer Simulation, Evaluation Methods
Rutkowski, Leslie; Rutkowski, David; Zhou, Yan – International Journal of Testing, 2016
Using an empirically-based simulation study, we show that typically used methods of choosing an item calibration sample have significant impacts on achievement bias and system rankings. We examine whether recent PISA accommodations, especially for lower performing participants, can mitigate some of this bias. Our findings indicate that standard…
Descriptors: Simulation, International Programs, Adolescents, Student Evaluation
Debeer, Dries; Janssen, Rianne; De Boeck, Paul – Journal of Educational Measurement, 2017
When dealing with missing responses, two types of omissions can be discerned: items can be skipped or not reached by the test taker. When the occurrence of these omissions is related to the proficiency process the missingness is nonignorable. The purpose of this article is to present a tree-based IRT framework for modeling responses and omissions…
Descriptors: Item Response Theory, Test Items, Responses, Testing Problems
Hayashi, Yugo; Takeuchi, Yugo – International Educational Data Mining Society, 2018
This study investigated the factors underlying the estimation of learner self-confidence during explanations with a conversational agent in an online explanation task. Based on reviews of previous studies, we focused on how factors such as the learner's task activities and personal characteristics can be predictors. To examine these points, we…
Descriptors: Self Efficacy, Task Analysis, Cognitive Processes, Individual Characteristics
Tobar-Muñoz, Hendrys; Baldiris, Silvia; Fabregat, Ramon – Journal of Educational Computing Research, 2017
Program for International Student Assessment results indicate that while reading comprehension needs to be promoted, teachers are struggling to find ways to motivate students to do reading comprehension activities and although technology-enhanced learning approaches are entering the classroom, researchers are still experimenting with them to…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Sachse, Karoline A.; Roppelt, Alexander; Haag, Nicole – Journal of Educational Measurement, 2016
Trend estimation in international comparative large-scale assessments relies on measurement invariance between countries. However, cross-national differential item functioning (DIF) has been repeatedly documented. We ran a simulation study using national item parameters, which required trends to be computed separately for each country, to compare…
Descriptors: Comparative Analysis, Measurement, Test Bias, Simulation
Tian, Wei; Cai, Li; Thissen, David; Xin, Tao – Educational and Psychological Measurement, 2013
In item response theory (IRT) modeling, the item parameter error covariance matrix plays a critical role in statistical inference procedures. When item parameters are estimated using the EM algorithm, the parameter error covariance matrix is not an automatic by-product of item calibration. Cai proposed the use of Supplemented EM algorithm for…
Descriptors: Item Response Theory, Computation, Matrices, Statistical Inference
Adams, Raymond J.; Lietz, Petra; Berezner, Alla – Large-scale Assessments in Education, 2013
Background: While rotated test booklets have been employed in large-scale assessments to increase the content coverage of the assessments, rotation has not yet been applied to the context questionnaires administered to respondents. Methods: This paper describes the development of a methodology that uses rotated context questionnaires in…
Descriptors: Questionnaires, Item Response Theory, Foreign Countries, Achievement Tests
Lynch, Robert G.; Oakford, Patrick – Center for American Progress, 2014
Our nation is currently experiencing growing levels of income and wealth inequality, which are contributing to longstanding racial and ethnic gaps in education outcomes and other areas. This report quantifies the economic benefits of closing one of the most harmful racial and ethnic gaps: the educational achievement gap that exists between black…
Descriptors: Achievement Gap, Economic Impact, African American Students, Hispanic American Students

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