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Shay, Marnee – Australian Journal of Indigenous Education, 2019
Yarning scholarship is emerging in the Australian context. There are a growing number of Indigenous scholars who advocate for using yarning in research and this paper aims to contribute to this methodological discussion. In this paper, I outline the development of a methodology, which I have named Collaborative Yarning Methodology (CYM). CYM…
Descriptors: Foreign Countries, Indigenous Populations, Story Telling, Indigenous Knowledge
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Colver, Mitchell – New Directions for Institutional Research, 2019
As we become increasingly acquainted with the rich opportunities that analytics systems can provide, there is a commensurate need to consider the extent to which analytics tools are effectively integrated, with proper training, into the day-to-day functioning of higher education professionals. This chapter explores the extent to which predictive…
Descriptors: Data Collection, Data Analysis, Educational Research, Higher Education
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Zinth, Jennifer; Taylor, Jason L. – New Directions for Institutional Research, 2019
Dual enrollment is a complex policy issue and is increasingly of interest to state policymakers. Adequate data and data systems are critical to informing dual enrollment policy, yet the data at the federal level and many state data systems suffer from common challenges and lack the capacity to address dual enrollment policy. We review the…
Descriptors: Dual Enrollment, Educational Policy, State Policy, Data Collection
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Oliveira, F. S.; Calheiro, L. B.; Bozano, D. F.; Errobidart, N. C. G.; Jardim, M. I. A.; Reis, D. D.; Goncalves, A. M. B. – Physics Education, 2019
We present an Arduino approach to collect pressure and temperature data from electronic sensors. Using a constant volume-metal-vessel immersed in a water bath and changing its temperature, we measure the pressure as a function of the temperature inside the vessel. With this apparatus, it is possible to demonstrate Gay-Lussac's law. Based on…
Descriptors: Physics, Science Instruction, Data Collection, Measurement Equipment
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Vogl, Susanne – Journal of Mixed Methods Research, 2019
The challenge in data analysis often lies in accounting for the multidimensionality and complexity of the data while simultaneously discovering patterns. Integrating and consolidating different types of data during analysis can broaden the perspective and permit obtaining complementary views. This methodological research study on data collection…
Descriptors: Mixed Methods Research, Data Analysis, Focus Groups, Children
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Setiawan, Risky – European Journal of Educational Research, 2019
The purposes of this research are: 1) to compare two equalizing tests conducted with Hebara and Stocking Lord method; 2) to describe the characteristics of each equalizing test method using windows' IRTEQ program. This research employs a participatory approach as the data are collected through questionnaires based on the National Examination…
Descriptors: Equated Scores, Evaluation Methods, Evaluation Criteria, Test Items
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Angelone, Lauren – Mid-Western Educational Researcher, 2019
The purpose of this paper is methodological. It serves as a defense of virtual ethnography as a method, not only well suited to postpositivist research, but as a tool to further interrogate the tenuous truth that all research produces. To accomplish this, virtual ethnography is situated within the history of qualitative inquiry and then examined…
Descriptors: Virtual Classrooms, Ethnography, Teaching Methods, Internet
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Lampiselkä, Jarkko; Kaasinen, Arja; Kinnunen, Päivi; Malmi, Lauri – Education Sciences, 2019
This study provides an overview of the didactic focus areas in educational research in biology, chemistry and physics, seeking to identify the focus areas that are investigated frequently and those that have been studied rarely or not at all. We applied the didactic focus-based categorization analysis method (DFCM), which is based on an extension…
Descriptors: Science Education, Educational Research, Biology, Chemistry
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Wind, Stefanie A.; Jones, Eli – Journal of Educational Measurement, 2019
Researchers have explored a variety of topics related to identifying and distinguishing among specific types of rater effects, as well as the implications of different types of incomplete data collection designs for rater-mediated assessments. In this study, we used simulated data to examine the sensitivity of latent trait model indicators of…
Descriptors: Rating Scales, Models, Evaluators, Data Collection
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Phillips, Tina B.; Ballard, Heidi L.; Lewenstein, Bruce V.; Bonney, Rick – Science Education, 2019
To date, most studies of citizen science engagement focus on quantifiable measures related to the contribution of data or other output measures. Few studies have attempted to qualitatively characterize citizen science engagement across multiple projects and from the perspective of the participants. Building on pertinent literature and…
Descriptors: Citizen Participation, Scientific Research, Data Collection, Science Projects
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Keehn, Suzanne; Claggett, Stuart – Journal of Applied Testing Technology, 2019
The educational game industry struggles from a lack of standardization around collecting, analyzing and managing student learning data, which is potentially jeopardizing millions of dollars of investment in educational games. Investors, administrators, and educators require data to support quantitative and qualitative learning measurement in…
Descriptors: Educational Games, Game Based Learning, Data Collection, Elementary Secondary Education
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Ross, Karen; Call-Cummings, Meagan – International Journal of Social Research Methodology, 2019
In this article, we interrogate the concept of methodological 'failures' as they arise during fieldwork, in the process of collecting empirical data. We highlight how the techniques of validity horizon matrices and power analysis can be used as methodological tools to illustrate moments in the fieldwork process where these 'failures' occur and to…
Descriptors: Failure, Data Collection, Research Methodology, Validity
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Rivera, Jason D. – Journal of Public Affairs Education, 2019
Across all social science disciplines, but in particular public administration, there is a shared concern about the costs of using traditional random samples to generate data, and its impact on researchers' ability to engage in "quality" research. As a result of these costs, more academics, practitioners, and students are turning to…
Descriptors: Public Affairs Education, Public Administration, Social Science Research, Graduate Students
Petersen, Amanda J. – Wilder Research, 2019
Positive Behavioral Interventions and Supports (PBIS) is an evidence-based approach to addressing behavior issues in schools. A significant amount of research has been done to identify the critical features of PBIS. More generally, implementation science points to a specific sequence to ensure that PBIS is implemented with fidelity. This spring…
Descriptors: Positive Behavior Supports, Program Implementation, Fidelity, Scores
Education Trust-West, 2019
With Governor Newsom's signature on the state budget in June 2019, California is finally on the path to joining the majority of other states in the country who have robust data systems. Having this administration provide funding to begin to build and maintain a statewide longitudinal data system (SLDS) is an important win. Advocates have been…
Descriptors: Longitudinal Studies, Data Collection, Equal Education, Family Involvement
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