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Betül Baldan Babayigit; Ellen Boeren; Sharon Clancy; Zyra Evangelista; John Holford; Queralt Capsada-Munsech – International Journal of Lifelong Education, 2025
This paper investigates the methodological discrepancies underlying the measurement of adult learning and education (ALE) participation in the UK by focusing on four major surveys -- APiL, PIAAC, AES, and LFS. Grounded in the Total Survey Error (TSE) framework, we systematically examined the surveys' documentation and compared their definitions,…
Descriptors: Adult Learning, Adult Education, Student Participation, Foreign Countries
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
Benjawan Plengkham; Sonthaya Rattanasak; Patsawut Sukserm – Journal of Education and Learning, 2025
This academic article provides the essential steps for designing an effective English questionnaire in social science research, with a focus on ensuring clarity, cultural sensitivity and ethical integrity. Developed from key insights from related studies, it outlines potential practice in questionnaire design, item development and the importance…
Descriptors: Guidelines, Test Construction, Questionnaires, Surveys
Howard, Jeffrey N. – Practical Assessment, Research & Evaluation, 2022
The Student Evaluation of Teaching (SET) instrument provides insight for instructors and administrators alike, often touting high response-rates to endorse their validity and reliability. However, response-rate alone omits consideration for "adequate quantity of 'observational sampling opportunity' (OSO) data points" (e.g., high student…
Descriptors: Student Evaluation of Teacher Performance, Validity, Reliability, Longitudinal Studies
Birzenieks, Linda; Hivers, Lisa; Cole, Naomi; Smyth, Eleisha; Raap, Lena Hoffman; Smith, Jane; Wood, Justin; Roche, Sue; Wrigley, Andrew; Arthur-Kelly, Michael – Australasian Journal of Special and Inclusive Education, 2020
This paper describes a collaborative approach to professional learning that has provided an opportunity for refreshed practices and growth in capacity in schools supporting students with various learning needs in several schools that are part of the Association of Independent Schools in the Australian Capital Territory. An action research approach…
Descriptors: Data Collection, Reliability, Professional Development, Action Research
Flanagan, Agnes; Cormier, Damien C. – Communique, 2019
One of the areas subsumed under the data-based decision making and accountability practice identified in the National Association of School Psychologists' (NASP) "Model for Integrated School Psychological Services" is to collect information on psychological and educational variables to make decisions at a number of levels of service…
Descriptors: Test Bias, School Psychologists, Measurement, Data Collection
Ruth E. Ryder; James Lynn Woodworth – Office of Elementary and Secondary Education, US Department of Education, 2021
The Department is providing States flexibility for reporting SY 2019-2020 average daily attendance (ADA) data in order to ensure the data are consistent and as accurate as possible. As required by section 8101(1) of the Elementary and Secondary Education Act of 1965 (ESEA), each State will continue to report ADA based on either the Federal or the…
Descriptors: Average Daily Attendance, Accuracy, Reliability, Reports
Bieda, Kristen N.; Salloum, Serena J.; Hu, Sihua; Sweeny, Shannon; Lane, John; Torphy, Kaitlin – Journal of Classroom Interaction, 2020
This paper discusses the challenges and lessons learned from conducting observations to measure the quality of classroom practice for a large-scale study of elementary teachers' mathematics instruction. Specifically, this paper shares our process for obtaining valid data for quality of elementary mathematics instruction; what we learned can inform…
Descriptors: Mathematics Instruction, Classroom Observation Techniques, Elementary School Teachers, Interrater Reliability
Marc T. Braverman – Journal of Human Sciences & Extension, 2019
This article examines the concept of credible evidence in Extension evaluations with specific attention to the measures and measurement strategies used to collect and create data. Credibility depends on multiple factors, including data quality and methodological rigor, characteristics of the stakeholder audience, stakeholder beliefs about the…
Descriptors: Extension Education, Program Evaluation, Evaluation Methods, Planning
Hansen, David M. – Strategic Enrollment Management Quarterly, 2020
In recent years we have developed a data analytics pipeline using artificial neural networks to predict prospective student matriculation for university admissions using very limited demographic data. Predictions are generated at the earliest stages of the admissions process and successfully inform recruiting and admissions staff about the…
Descriptors: Artificial Intelligence, Data Analysis, College Admission, Enrollment Management
Advance CTE: State Leaders Connecting Learning to Work, 2020
One of the biggest challenges that states and local intermediaries face in setting up and scaling high-quality youth apprenticeships is gathering relevant, accurate and actionable data. High-quality data is an essential ingredient for a strong youth apprenticeship program because it equips state and local leaders to evaluate impact, monitor…
Descriptors: Vocational Education, Youth Programs, Apprenticeships, Data Collection
Murawska, Jaclyn M.; Walker, David A. – Mid-Western Educational Researcher, 2017
In this commentary, we offer a set of visual tools that can assist education researchers, especially those in the field of mathematics, in developing cohesiveness from a mixed methods perspective, commencing at a study's research questions and literature review, through its data collection and analysis, and finally to its results. This expounds…
Descriptors: Mixed Methods Research, Research Methodology, Visual Aids, Research Tools
New York State Education Department, 2018
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 English Language Arts (ELA) and Mathematics 2018 Operational Tests. This report includes information about test content and test development, item (i.e., individual…
Descriptors: English, Language Arts, Language Tests, Mathematics Tests
New York State Education Department, 2017
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 English Language Arts (ELA) and Mathematics 2017 Operational Tests. This report includes information about test content and test development, item (i.e., individual…
Descriptors: English, Language Arts, Language Tests, Mathematics Tests
Boller, Kimberly; Kisker, Ellen Eliason – Regional Educational Laboratory, 2014
This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…
Descriptors: Research Reports, Research Methodology, Educational Research, Check Lists

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