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Damio, Siti Maftuhah – Asian Journal of University Education, 2018
The purpose of this article is to describe the analytic process of a method of data collection known as Q Methodology. This method is an alternative method in collecting data especially suited to research on "points of views" (Coogan & Herrington, 2011, p. 24). The analytic process of Q methodology involves factor analysis, a…
Descriptors: Q Methodology, Data Collection, Factor Analysis, Keyboarding (Data Entry)
Lewis, Charlie; Chajewski, Michael; Rupp, André A. – Educational Measurement: Issues and Practice, 2018
In this ITEMS module, we provide a two-part introduction to the topic of reliability from the perspective of "classical test theory" (CTT). In the first part, which is directed primarily at beginning learners, we review and build on the content presented in the original didactic ITEMS article by Traub and Rowley (1991). Specifically, we…
Descriptors: Test Reliability, Test Theory, Computation, Data Collection
Knox, Jeremy – International Review of Education, 2018
This article examines how algorithms are shaping student learning in massive open online courses (MOOCs). Following the dramatic rise of MOOC platform organisations in 2012, over 4,500 MOOCs have been offered to date, in increasingly diverse languages, and with a growing requirement for fees. However, discussions of "learning" in MOOCs…
Descriptors: Online Courses, Mathematics, Learning, Data Collection
Kraftmakher, Yaakov – Physics Teacher, 2018
An improvement of the experiment with a driven pendulum is proposed: during a run, the phase shift between the driving force and displacement is continuously displayed vs. frequency. The method of phase measurements is taken from the lock-in detection technique. Using the new PASCO data acquisition system, the measurements in a frequency range…
Descriptors: Physics, Science Instruction, Measurement, Science Experiments
Windsong, Elena Ariel – International Journal of Social Research Methodology, 2018
As intersectionality gains more prominence, scholars still face difficulties of incorporating principles of intersectionality into empirical research. Key concepts of intersectionality theory include moving away from additive thinking, relationality, and social constructionism. An important challenge is how to incorporate these concepts into…
Descriptors: Research Design, Data Collection, Race, Sex
McMaster, Kirby; Rague, Brian; Wolthuis, Stuart L.; Sambasivam, Samuel – Information Systems Education Journal, 2018
This research study provides an examination of the relatively new fields of Data Analytics and Data Science. We compare word rates in Data Analytics and Data Science documents to determine which concepts are mentioned most often. The most frequent concept in both fields is "data." The word rate for "data" is more than twice the…
Descriptors: Data Analysis, Data Collection, Comparative Analysis, Statistics
Schrauf, Robert W. – Journal of Mixed Methods Research, 2018
Mixed methods, cross-cultural designs are a special case of the more general, mixed methods between-groups designs. The defining feature of mixed methods is the principled integration of qualitative and quantitative approaches, and cross-cultural comparison is premised on the systematic collection and analysis of data from two or more cultural…
Descriptors: Cross Cultural Studies, Mixed Methods Research, Comparative Analysis, Data Collection
Laird, Alexandra; Grootenboer, Peter – Mathematics Education Research Group of Australasia, 2018
Engagement is a multifaceted concept that has attracted recent attention by researchers both in Australia and internationally (Attard, 2012; Chan, Baker, Slee, & Williamson, 2015). For many years mathematics education has been seen as boring and dull, and students have disengaged from a relatively early age in learning and participating in…
Descriptors: Data Collection, Learner Engagement, Mathematics Education, Foreign Countries
Dalrymple, Kirsten A.; Manner, Marie D.; Harmelink, Katherine A.; Teska, Elayne P.; Ellison, Jed T. – Grantee Submission, 2018
The quantitative assessment of eye tracking data quality is critical for ensuring accuracy and precision of gaze position measurements. However, researchers often report the eye tracker's optimal manufacturer's specifications rather than empirical data about the accuracy and precision of the eye tracking data being presented. Indeed, a recent…
Descriptors: Data Collection, Accuracy, Eye Movements, Age Groups
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
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
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
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
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
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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