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Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Caspar J. Van Lissa; Eli-Boaz Clapper; Rebecca Kuiper – Research Synthesis Methods, 2024
The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…
Descriptors: Hypothesis Testing, Evaluation Methods, Replication (Evaluation), Sample Size
Marjahan Begum; Pontus Haglund; Ari Korhonen; Violetta Lonati; Mattia Monga; Filip Strömbäck; Artturi Tilanterä – Informatics in Education, 2024
There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…
Descriptors: Foreign Countries, College Students, Prerequisites, Computer Science Education
Lee, Yi-Hsuan; Haberman, Shelby J. – Journal of Educational Measurement, 2021
For assessments that use different forms in different administrations, equating methods are applied to ensure comparability of scores over time. Ideally, a score scale is well maintained throughout the life of a testing program. In reality, instability of a score scale can result from a variety of causes, some are expected while others may be…
Descriptors: Scores, Regression (Statistics), Demography, Data
Yuting Han; Zhehan Jiang; Lingling Xu; Fen Cai – AERA Online Paper Repository, 2024
To address the computational constraints of parameter estimation in the polytomous Cognitive Diagnosis Model (pCDM) in large-scale high data volume situations, this study proposes two two-stage polytomous attribute estimation methods: P_max and P_linear. The effects of the two-stage methods were studied via a Monte Carlo simulation study, and the…
Descriptors: Medical Education, Licensing Examinations (Professions), Measurement Techniques, Statistical Data
Seohyeon Choi; Kristen L. McMaster; Erica S. Lembke; Manjary Guha – Grantee Submission, 2024
Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…
Descriptors: Data Use, Writing Instruction, Knowledge Level, Elementary School Teachers
Seohyeon Choi; Kristen L. McMaster; Erica S. Lembke; Manjary Guha – Assessment for Effective Intervention, 2024
Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…
Descriptors: Data Use, Writing Instruction, Knowledge Level, Elementary School Teachers
Cui, Ying; Chen, Fu; Lutsyk, Alina; Leighton, Jacqueline P.; Cutumisu, Maria – Assessment in Education: Principles, Policy & Practice, 2023
With the exponential increase in the volume of data available in the 21st century, data literacy skills have become vitally important in work places and everyday life. This paper provides a systematic review of available data literacy assessments targeted at different audiences and educational levels. The results can help researchers and…
Descriptors: Data, Information Literacy, 21st Century Skills, Competence
May, Henry; Blackman, Horatio; Van Horne, Sam; Tilley, Katherine; Farley-Ripple, Elizabeth N.; Shewchuk, Samantha; Agboh, Darren; Micklos, Deborah Amsden – Center for Research Use in Education, 2022
In this technical report, the Center for Research Use in Education (CRUE) presents the methodological design of a large-scale quantitative investigation of research use by school-based practitioners through the "Survey of Evidence in Education for Schools (SEE-S)." It documents the major technical aspects of the development of SEE-S,…
Descriptors: Surveys, Schools, Educational Research, Research Utilization
Gulsah Gurkan – ProQuest LLC, 2021
Secondary analyses of international large-scale assessments (ILSA) commonly characterize relationships between variables of interest using correlations. However, the accuracy of correlation estimates is impaired by artefacts such as measurement error and clustering. Despite advancements in methodology, conventional correlation estimates or…
Descriptors: Secondary School Students, Achievement Tests, International Assessment, Foreign Countries
Khan, R. Nazim – International Journal of Mathematical Education in Science and Technology, 2015
Open book assessment is not a new idea, but it does not seem to have gained ground in higher education. In particular, not much literature is available on open book examinations in mathematics and statistics in higher education. The objective of this paper is to investigate the appropriateness of open book assessments in a first-year business…
Descriptors: Evaluation Methods, Higher Education, Mathematics Tests, Statistics
Lee, Minji K.; Sweeney, Kevin; Melican, Gerald J. – Educational Assessment, 2017
This study investigates the relationships among factor correlations, inter-item correlations, and the reliability estimates of subscores, providing a guideline with respect to psychometric properties of useful subscores. In addition, it compares subscore estimation methods with respect to reliability and distinctness. The subscore estimation…
Descriptors: Scores, Test Construction, Test Reliability, Test Validity
Algozzine, Bob; Horner, Robert H.; Todd, Anne W.; Newton, J. Stephen; Algozzine, Kate; Cusumano, Dale – Journal of Psychoeducational Assessment, 2016
Although there is a strong legislative base and perceived efficacy for multidisciplinary team decision making, limited evidence supports its effectiveness or consistency of implementation in practice. In recent research, we used the Decision Observation, Recording, and Analysis (DORA) tool to document activities and adult behaviors during positive…
Descriptors: Problem Solving, Participative Decision Making, Positive Behavior Supports, Meetings
Riley-Ayers, Shannon – Center on Enhancing Early Learning Outcomes, 2014
This policy report provides a guide and framework to early childhood policymakers considering formative assessment. The report defines formative assessment and outlines its process and application in the context of early childhood. The substance of this document is the issues for consideration in the implementation of the formative assessment…
Descriptors: Formative Evaluation, Early Childhood Education, Educational Policy, Policy Formation
Wedman, Jonathan; Lyrén, Per-Erik – Practical Assessment, Research & Evaluation, 2015
When subscores on a test are reported to the test taker, the appropriateness of reporting them depends on whether they provide useful information above what is provided by the total score. Subscores that fail to do so lack adequate psychometric quality and should not be reported. There are several methods for examining the quality of subscores,…
Descriptors: Evaluation Methods, Psychometrics, Scores, Tests

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