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Mireia Bolíbar; Julia Martínez-Ariño; Maria Schiller – Field Methods, 2025
We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…
Descriptors: Measurement Techniques, Data Analysis, Data Collection, Networks
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Suleyman Alpaslan Sulak; Nigmet Koklu – European Journal of Education, 2024
This study employs advanced data mining techniques to investigate the DASS-42 questionnaire, a widely used psychological assessment tool. Administered to 680 students at Necmettin Erbakan University's Ahmet Kelesoglu Faculty of Education, the DASS-42 comprises three distinct subscales--depression, anxiety and stress--each consisting of 14 items.…
Descriptors: Foreign Countries, Algorithms, Information Retrieval, Data Analysis
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Karel Kok; Burkhard Priemer – Physical Review Physics Education Research, 2023
Students at all levels of education experience difficulties with the concepts of measurement uncertainties. One task that includes concepts of measurement uncertainties is a data comparison problem where students decide whether two datasets are in agreement or not--an authentic scientific practice. To aid students with these concepts and tasks,…
Descriptors: Data Analysis, Comparative Analysis, Secondary School Students, Teaching Methods
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Frericks, Patricia – International Journal of Social Research Methodology, 2022
Social research is rich in methods for analysing societal differences. Yet, although qualitative characteristics are a key component to understanding such differences, the analysis of qualitative data remains a major methodological challenge in most social research, particularly when aiming to compare more than a few cases. The article proposes an…
Descriptors: Social Science Research, Qualitative Research, Data Analysis, Social Differences
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Knipe, Sally; Bottrell, Christine – Educational Research Quarterly, 2023
The technological capacity that now exists to gather and store large amounts of data has improved access to information related to the academic performance, demographic profile and welfare needs of young people in a school. Improvements in data management techniques, statistical data analysis and software packages have made retrieving and…
Descriptors: Measurement Techniques, Indexes, Data Analysis, Enrollment
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Ertugrul, Irfan; Öztas, Tayfun – International Journal of Assessment Tools in Education, 2018
Data Envelopment Analysis (DEA) is one of the most widely used efficiency measurement techniques in the literature. In the method developed by Charnes, Cooper, and Rhodes, the relation between input(s) and output(s) is examined and relative efficiency values are obtained for many decisionmaking units. In order to be able to accurately measure the…
Descriptors: Efficiency, Measurement Techniques, Data Analysis, Input Output Analysis
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Saqr, Mohammed; López-Pernas, Sonsoles – Journal of Learning Analytics, 2022
There has been extensive research using centrality measures in educational settings. One of the most common lines of such research has tested network centrality measures as indicators of success. The increasing interest in centrality measures has been kindled by the proliferation of learning analytics. Previous works have been dominated by…
Descriptors: Measurement Techniques, Learning Analytics, Data Analysis, Academic Achievement
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Rouhi, Amir H. – Universal Journal of Educational Research, 2018
Over the past 25 years, performance measurement has gained salience in higher education, and with the explosion of structured data and the impact of business analytics and intelligence systems, there are new angles by which big volumes of data can be analyzed. Using traditional analytical approaches, pairs of reciprocal cohorts are considered as…
Descriptors: Student Financial Aid, Higher Education, Performance Based Assessment, Comparative Analysis
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Liang, Dong; Chen, Guanbo; Tian, Hailin; Lu, Qi – Advances in Engineering Education, 2020
This article describes how the Sichuan University - Pittsburgh Institute has embraced new methods and new technologies to ensure high-quality laboratory teaching during the COVID-19 pandemic. Taking Mechanical Measurements 1 course as an example, this paper introduces two lab projects that were successfully transferred into online experiments…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, COVID-19
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Yenipinar, Senyurt; Yildirim, Kamil; Tabak, Hasan – i.e.: inquiry in education, 2020
Aiming to describe the leadership potential (LP) of school principals, this study was carried out using the triangulation design of the mixed method. The study was carried out among 15 school administrators who were recruited using the purposive sampling method. Data were collected using an analytic graded measurement tool through a case-based,…
Descriptors: Data Analysis, School Administration, Instructional Leadership, Principals
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van Halema, Nicolette; van Klaveren, Chris; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja – Frontline Learning Research, 2020
For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…
Descriptors: Independent Study, Learning Motivation, Learning Strategies, Student Behavior
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Hao, Jinmei; Li, Suke – Journal of Education and Practice, 2017
With the adjustment of industrial structure of China in recent years, the market urgently needs different levels of professionals. Specialty education is an important part of higher education in China, has its unique advantages. Through the analysis of the history data of specialty education in our country, the result shows that the specialty…
Descriptors: Foreign Countries, Specialization, Specialists, Enrollment Trends
Siekmann, Gitta; Korbel, Patrick – National Centre for Vocational Education Research (NCVER), 2016
This report explores the definition and selection of science and technology-related (STEM) jobs in-depth. Examples from the United States, United Kingdom, and Australia are described, with similarities and differences highlighted. [This document was produced by the author(s) based on their research for "What Is STEM? The Need for Unpacking…
Descriptors: STEM Education, Technical Education, Vocational Education, Job Skills
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Bogetoft, Peter; Wittrup, Jesper – School Effectiveness and School Improvement, 2017
This paper discusses methods for benchmarking vocational education and training colleges and presents results from a number of models. It is conceptually difficult to benchmark vocational colleges. The colleges typically offer a wide range of course programmes, and the students come from different socioeconomic backgrounds. We solve the…
Descriptors: Benchmarking, Vocational Education, Models, Postsecondary Education
National Centre for Vocational Education Research (NCVER), 2016
This work asks one simple question: "how reliable is the method used by the National Centre for Vocational Education Research (NCVER) to estimate projected rates of VET program completion?" In other words, how well do early projections align with actual completion rates some years later? Completion rates are simple to calculate with a…
Descriptors: Vocational Education, Graduation Rate, Predictive Measurement, Predictive Validity
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