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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
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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
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
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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
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Rhemtulla, Mijke; Little, Todd D. – Journal of Cognition and Development, 2012
Data collection can be the most time- and cost-intensive part of developmental research. This article describes some long-proposed but little-used research designs that have the potential to maximize data quality (reliability and validity) while minimizing research cost. In "planned missing data designs", missing data are used…
Descriptors: Data Collection, Reliability, Validity, Measures (Individuals)
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Sangasubana, Nisaratana – Qualitative Report, 2011
The purpose of this paper is to describe the process of conducting ethnographic research. Methodology definition and key characteristics are given. The stages of the research process are described including preparation, data gathering and recording, and analysis. Important issues such as reliability and validity are also discussed.
Descriptors: Student Research, Ethnography, Research Methodology, Data Analysis
Liu, Qin – Association for Institutional Research, 2012
This discussion constructs a survey data quality strategy for institutional researchers in higher education in light of total survey error theory. It starts with describing the characteristics of institutional research and identifying the gaps in literature regarding survey data quality issues in institutional research and then introduces the…
Descriptors: Institutional Research, Higher Education, Quality Control, Researchers
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Marley, Scott C. – Journal for Specialists in Group Work, 2010
Recent articles in "The Journal for Specialists in Group Work" have discussed credibility indicators for quantitative and qualitative studies (Asner-Self, 2009; Rubel & Villalba, 2009). This article extends upon these contributions by discussing measurement issues that are relevant to producers and consumers of quantitative group research. This…
Descriptors: Credibility, Psychological Evaluation, Validity, Data Collection
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Stewart, Mark T.; Stavrianeas, Stasinos – Advances in Physiology Education, 2008
Accusport analyzers were used to generate lactate performance curves in an investigative laboratory activity emphasizing the importance of reliable instrumentation. Both the calibration and testing phases of the exercise provided students with a hands-on opportunity to use laboratory-grade instrumentation while allowing for meaningful connections…
Descriptors: Laboratories, Instrumentation, Reliability, Data Collection
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Rutkowski, Leslie; Rutkowski, David – Journal of Curriculum Studies, 2010
In addition to collecting achievement data, international large-scale assessment programmes gather auxiliary information from students and schools regarding the context of teaching and learning. In an effort to clarify some of the opacity surrounding international large-scale assessment programmes and the potential problems associated with less…
Descriptors: Measures (Individuals), Data Collection, Questionnaires, Academic Achievement
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Walker, Justin – Physics Education, 2010
The benefits of using data logging to teach "how science works" are presented. Pedagogical approaches that take advantage of other school ICT are briefly described. A series of simple, quick experiments are given together with their resulting charts. Examples of the questions that arise from the charts show how the rich data lead to the refinement…
Descriptors: Science Instruction, Physics, Laboratory Equipment, Water
Zaslow, Martha; Tout, Kathryn; Halle, Tamara; Forry, Nicole – Child Trends, 2009
As states and communities invest in initiatives to improve the quality of early care and education, the measurement of quality is becoming more widespread and the importance of measuring quality well is gaining increasing attention. Within the broad context of interest in improving quality, this report seeks to differentiate among a number of…
Descriptors: Child Care, Early Childhood Education, Educational Quality, Evaluation
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Pai, Wendell; Moschos, Marina; Detlev, Angela; Robinson, Ophelia; Lanneau, Sumi – New Directions for Institutional Research, 2008
This chapter describes the development of a state-level student tracking system that enables the state and institutions to follow various cohort types of students across institutional boundaries. The system was developed by the Policy Research and Data Warehousing section of the State Council of Higher Education for Virginia (SCHEV). SCHEV is the…
Descriptors: Higher Education, Institutional Research, Academic Achievement, Recordkeeping
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Emery, Jill – Journal of Electronic Resources Librarianship, 2008
It has been a decade since the first aggregator journal packages began to become available at academic and public libraries throughout the United States of America. During these 10 years, the library and information science community has published numerous articles on the pros and cons of this method of delivery and these collections, more than…
Descriptors: Public Libraries, Academic Libraries, Electronic Journals, Delivery Systems
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