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Namey, Emily; Guest, Greg; O'Regan, Amy; Godwin, Christine L.; Taylor, Jamilah; Martinez, Andres – Field Methods, 2020
Internet-based platforms are increasingly used to collect qualitative data. We conducted a quasi-experimental study to explore whether data collection mode affects data content and data collection costs. Participants (N = 171) were assigned systematically to one of four modes--(1) in-person (control), (2) online video-based, (3) online chat-based,…
Descriptors: Qualitative Research, Data Collection, Costs, Data
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Mittereder, Felicitas; Durow, Jen; West, Brady T.; Kreuter, Frauke; Conrad, Frederick G. – Field Methods, 2018
Standardized interviewing (SI) and conversational interviewing are two approaches to collect survey data that differ in how interviewers address respondent confusion. This article examines interviewer-respondent interactions that occur during these two techniques, focusing on requests for and provisions of clarification. The data derive from an…
Descriptors: Interaction, Interaction Process Analysis, Data Collection, Interviews
Julie F. Schappe – Sage Research Methods Cases, 2017
In this case, I discuss my progression from ethnography toward multimodal ethnography as a necessary methodology to study multiliterate and multimodal lives. I view daily life, social interactions, and meaning-making practices as inherently multimodal. By multimodal, I mean that individuals continually read, interpret, and create meanings that…
Descriptors: Research Methodology, Intermode Differences, Researchers, Reflection
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Smith, Carmen; King, Barbara; Gonzalez, Diana – Journal of Interactive Learning Research, 2016
Elementary students' difficulties with angles in geometry are well documented, but we know little about how they conceptualize angles while solving problems and how their thinking changes over time. In this study, we examined 26 third and fourth grade students completing a body-based angle task supported by the Kinect for Windows. We used…
Descriptors: Intermode Differences, Learning Modalities, Educational Research, Data Collection
Cunningham, Jim – International Educational Data Mining Society, 2015
In this paper, I describe preliminary work on a new research project in learning analytics at Arizona State University. In conjunction with an innovative remedial mathematics course using Khan Academy and student coaches, this study seeks to measure the effectiveness of visualized data in assisting student coaches as they help remedial math…
Descriptors: Research Projects, Remedial Mathematics, Coaching (Performance), Visual Aids
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Kim, Myung-Hoon; Kim, Michelle S. – Journal of Chemical Education, 2016
A visual regression analysis using the least absolutes method (LAB) was developed, utilizing an interactive approach of visually minimizing the sum of the absolute deviations (SAB) using a bar graph in Excel; the results agree very well with those obtained from nonvisual LAB using a numerical Solver in Excel. These LAB results were compared with…
Descriptors: Least Squares Statistics, Regression (Statistics), Graphs, Courseware
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Raghupathy, Shobana; Hahn-Smith, Stephen – Current Issues in Education, 2013
There has been increasing interest in using of web-based surveys--rather than paper based surveys--for collecting data on alcohol and other drug use in middle and high schools in the US. However, prior research has indicated that respondent confidentiality is an underlying concern with online data collection especially when computer-assisted…
Descriptors: Intermode Differences, Online Surveys, Alcohol Abuse, Drug Use
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James, Nalita; Busher, Hugh – Ethnography and Education, 2013
This paper discusses the complexities of investigating the experiences of participants in hybrid (online/offline) learning communities through educational ethnography. In these communities, people construct small cultures in the liminal spaces or "border crossings" between the virtually real and "actually" real, using computer-mediated and…
Descriptors: Ethnography, Blended Learning, Educational Research, Educational Researchers
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Priest, Samuel J.; Pyke, Simon M.; Williamson, Natalie M. – Journal of Chemical Education, 2014
Microcomputer based laboratory activities have been suggested to have a number of benefits in science education. However, their implementation produces mixed results, and student perception data have in the past yielded responses that are negative regarding the technology. This work presents a case study of three first year undergraduate chemistry…
Descriptors: Student Attitudes, Science Experiments, Chemistry, Comparative Analysis
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Carroll, David – Journal of Institutional Research, 2011
Historically, responses to the Course Experience Questionnaire (CEQ) were required to be collected by self-administered paper or online questionnaire to be eligible for official analysis. CEQ responses collected by telephone were excluded from the final analysis file to minimise the potential for bias due to mode effects: systematic variation in…
Descriptors: Questionnaires, Regression (Statistics), Intermode Differences, Telephone Surveys
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López Pastor, Víctor M. – Journal of Technology and Science Education, 2011
The aim of this article is three-fold: (a) to present an example of best practices in formative assessment in university instruction, offering three different methods of learning and assessment to pass a subject; (b) to analyze differences in academic performance depending on method of learning and assessment chosen; (c) to consider professors'…
Descriptors: Best Practices, Higher Education, Formative Evaluation, Academic Achievement
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Randolph, Justus J.; Virnes, Marjo; Jormanainen, Ilkka; Eronen, Pasi J. – Educational Technology & Society, 2006
Although computer-assisted interview tools have much potential, little empirical evidence on the quality and quantity of data generated by these tools has been collected. In this study we compared the effects of using Virre, a computer-assisted self-interview tool, with the effects of using other data collection methods, such as written responding…
Descriptors: Computer Science Education, Effect Size, Data Collection, Computer Assisted Testing