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Louden, William – Education Services Australia, on behalf of the Education Council, 2019
The Education Council of the Council of Australian Governments (COAG) commissioned a review of the current approach to the presentation of the National Assessment Program -- Literacy and Numeracy (NAPLAN) data including information published on the "My School" website. The review was framed by four Terms of Reference, namely: (1)…
Descriptors: Foreign Countries, Literacy, National Competency Tests, Numeracy
Dalporto, Hannah – MDRC, 2019
Career and technical education (CTE) programs (programs that teach students specific workplace skills aligned with the labor market) may track data for lots of different reasons: to comply with funding requirements, to manage their services and continually improve, to measure their progress toward their goals, and to evaluate whether they are…
Descriptors: Vocational Education, Data Use, Program Development, Data Collection
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Reeping, David; Taylor, Ashley R.; Knight, David B.; Edwards, Cherie – Journal of Engineering Education, 2019
Background: Mixed methods research designs in engineering education often frame the "mixed" aspect of the design from the perspective of data collection. However, intentional mixing throughout the research design--particularly during data analysis--may enable richer meta-inferences about a phenomenon. Purpose: This paper provides…
Descriptors: Mixed Methods Research, Program Evaluation, Engineering Education, Research Design
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Haardörfer, Regine – Health Education & Behavior, 2019
In this article, Regine Haardörfer outlines five general steps taken by good data analysts and how they need to be theory-driven data-informed. She uses these to discuss some issues and propose approaches to promote better data analysis and reporting. The proposed steps to rigorous data analysis are to: (1) create an a priori data analysis plan;…
Descriptors: Data Analysis, Theories, Social Science Research, Behavioral Science Research
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Wind, Stefanie A.; Guo, Wenjing – Educational and Psychological Measurement, 2019
Rater effects, or raters' tendencies to assign ratings to performances that are different from the ratings that the performances warranted, are well documented in rater-mediated assessments across a variety of disciplines. In many real-data studies of rater effects, researchers have reported that raters exhibit more than one effect, such as a…
Descriptors: Evaluators, Bias, Scoring, Data Collection
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Kim, Jihyun; Yakel, Elizabeth; Faniel, Ixchel M. – College & Research Libraries, 2019
We examine common and unique metadata requirements and their levels of description, determined by the data deposit forms of 20 repositories in three disciplines--archaeology, quantitative social science, and zoology. The results reveal that requirements relating to Creator, Description, Contributor, Date, Relation, and Location are common, whereas…
Descriptors: Metadata, Standards, Reliability, Archaeology
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Haseski, Halil Ibrahim; Ilic, Ulas – Informatics in Education, 2019
The aim of the present study was to investigate the properties of paper-and-pencil data collection instruments developed to measure Computational Thinking (CT) based on several variables. Thus, keywords were identified and used in searches conducted in various databases. The outcomes of the search were analyzed based on the inclusion/exclusion…
Descriptors: Data Collection, Computation, Thinking Skills, Educational Research
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Theobold, Allison; Hancock, Stacey – Statistics Education Research Journal, 2019
Modern environmental science research increasingly requires computational ability to apply statistics to environmental science problems, but graduate students in these scientific fields typically lack these integral skills. Many scientific graduate degree programs expect students to acquire these computational skills in an applied statistics…
Descriptors: Graduate Students, Environmental Education, Skill Development, Statistics
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Johanes, Petr; Thille, Candace – British Journal of Educational Technology, 2019
Education and education research are experiencing increased digitization and datafication, partly thanks to the rise in popularity of massively open online courses (MOOCs). The infrastructures that collect, store and analyse the resulting big data have received critical scrutiny from sociological, epistemological, ethical and analytical…
Descriptors: Data Collection, Learning Analytics, Online Courses, Higher Education
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Hofmann, Andreas; Cross, Megan; Karow, Malte A.; Straub, Jan H.; Clemen, Christoph S.; Eichinger, Ludwig – Biochemistry and Molecular Biology Education, 2019
The Java software jBar consists of a graphical user interface that allows the user to customize and assemble an included script for R. The scripted R pipeline calculates means and standard errors/deviations for replicates of numerical bivariate data and generates presentations in the form of bar graphs. A two-sided Student's t test is carried out…
Descriptors: Data Analysis, Graphs, Computer Software, Computer Uses in Education
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Levine, Burton; Berzofsky, Marcus E.; Hampton, Joel; Battles, Haven B. – International Journal of Social Research Methodology, 2019
Dual-frame, random-digit-dialing (DFRDD) surveys, using a frame of landline telephone numbers and a frame of cell phone numbers, have become the norm for telephone surveys. Two alternative frame constructions sample exclusively from a cell phone frame, referred to as the 'single-frame cell,' and sample from the listed landline frame and the cell…
Descriptors: Telephone Surveys, Sampling, Handheld Devices, Data Collection
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Man, Kaiwen; Harring, Jeffrey R.; Sinharay, Sandip – Journal of Educational Measurement, 2019
Data mining methods have drawn considerable attention across diverse scientific fields. However, few applications could be found in the areas of psychological and educational measurement, and particularly pertinent to this article, in test security research. In this study, various data mining methods for detecting cheating behaviors on large-scale…
Descriptors: Information Retrieval, Data Analysis, Identification, Tests
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Wutich, Amber; Brewis, Alexandra – Field Methods, 2019
Collecting data for cross-cultural research is time consuming and expensive. We report on techniques for efficient and effective cross-cultural data collection, drawn from 18 cross-cultural studies we conducted in 22 countries. We discuss research design, site selection and collaboration building, ethical review, cross-site protocol design, data…
Descriptors: Data Collection, Cross Cultural Studies, Ethnography, Research Design
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Zingle, Gabriel; Radhakrishnan, Balaji; Xiao, Yunkai; Gehringer, Edward; Xiao, Zhongcan; Pramudianto, Ferry; Khurana, Gauraang; Arnav, Ayush – International Educational Data Mining Society, 2019
Peer assessment has proven to be a useful strategy for increasing the timeliness and quantity of formative feedback, as well as for promoting metacognitive thinking among students. Previous research has determined that reviews that contain suggestions can motivate students to revise and improve their work. This paper describes a method for…
Descriptors: Peer Evaluation, Formative Evaluation, Evaluation Methods, Classification
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Aguilar, Stephen J. – TechTrends: Linking Research and Practice to Improve Learning, 2018
We are still designing educational experiences for the "average" student, and have room to improve. Learning analytics provides a way forward. This commentary describes how learning analytics-based applications are well positioned to meaningfully personalize the learning experience in diverse ways. In so doing, learning analytics has the…
Descriptors: Instructional Design, Social Justice, Educational Research, Data Collection
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