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Showing 1 to 15 of 23 results Save | Export
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Ihrmark, Daniel; Tyrkkö, Jukka – Education for Information, 2023
The combination of the quantitative turn in linguistics and the emergence of text analytics has created a demand for new methodological skills among linguists and data scientists. This paper introduces KNIME as a low-code programming platform for linguists interested in learning text analytic methods, while highlighting the considerations…
Descriptors: Linguistics, Data Science, Programming, Data Analysis
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Atkinson, Joshua D.; Dorr, Matthew; Pedasanaganti, Vamsi; Sharma, Shudipta – Journal of Ethnographic & Qualitative Research, 2023
The framework of cyber-archaeology was developed by Jones (1997, 2003) and later modified by Zimbra et al. (2010) to examine online networks and virtual communities. Since the modification, the method has fallen out of favor and is no longer utilized by qualitative researchers. To rebuild the method for qualitative research, we engaged in four…
Descriptors: Qualitative Research, Interdisciplinary Approach, Archaeology, Computer Science
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Anand Jeyaraj – Journal of Information Systems Education, 2024
A significant activity in the business analytics process is enrichment, which deals with acquiring and combining data from external sources. While different strategies for enrichment are possible, it can be accomplished more efficiently through automation using Python scripts. Since business students may not be immersed in technology skills and…
Descriptors: Scaffolding (Teaching Technique), Business Administration Education, Data Analysis, Programming Languages
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Mende, Janne – Qualitative Research Journal, 2022
Purpose: This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions. Design/methodology/approach: EQCA supplements the method of qualitative content analysis,…
Descriptors: International Organizations, Content Analysis, Grounded Theory, Correlation
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Fesler, Lily; Dee, Thomas; Baker, Rachel; Evans, Brent – Journal of Research on Educational Effectiveness, 2019
Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this article, we review the recent automated text methods relevant to educational…
Descriptors: Educational Research, Content Analysis, Research Methodology, Data Analysis
Fesler, Lily; Dee, Thomas; Baker, Rachel; Evans, Brent – Grantee Submission, 2019
Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this article, we review the recent automated text methods relevant to educational…
Descriptors: Educational Research, Content Analysis, Research Methodology, Data Analysis
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Fischbach, Sarah; Zarzosa, Jennifer – Journal of Education for Business, 2018
It is truly important for students to understand how to monitor online marketing buzz. This assignment, social media analytics, utilizes the content analysis research method to build student's in-depth understanding on how to evaluate and interpret user-generated content (UGC) to create social media campaigns. The authors adapted Resnik and…
Descriptors: Social Media, Assignments, Data Analysis, Content Analysis
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DePaolo, Concetta A.; Wilkinson, Kelly – TechTrends: Linking Research and Practice to Improve Learning, 2014
Word clouds (or tag clouds) are popular, fun ways to display text data in graphical form; however, we contend that they can also be useful tools in assessment. Using word clouds, instructors can quickly and easily produce graphical depictions of text representing student knowledge. By investigating the patterns of words or phrases, or lack…
Descriptors: Visual Aids, Word Frequency, Student Evaluation, Formative Evaluation
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Lam, Chris; Hannah, Mark A. – Business and Professional Communication Quarterly, 2016
This article describes a flipped classroom activity that requires students to integrate research and audience analysis. The activity uses Twitter as a data source. In the activity, students identify a sample, collect customer tweets, and analyze the language of the tweets in an effort to construct knowledge about an audience's values, needs, and…
Descriptors: Audience Analysis, Integrated Activities, Class Activities, Transcripts (Written Records)
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Staton, Mark G. – Marketing Education Review, 2016
The area of digital marketing is a difficult one for course development. Not only is it a relatively new topic area--having become popular after many marketing faculty completed their academic training--it is a constantly changing one wherein "innovative" tools are continuously being replaced within the industry. After uncovering what…
Descriptors: Job Placement, Certification, Marketing, Social Media
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Lang, Susan; Baehr, Craig – College Composition and Communication, 2012
This article provides an overview of the ways in which data and text mining have potential as research methodologies in composition studies. It introduces data mining in the context of the field of composition studies and discusses ways in which this methodology can complement and extend our existing research practices by blending the best of what…
Descriptors: Writing (Composition), Content Analysis, Information Technology, Data Analysis
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Leech, Nancy L.; Onwuegbuzie, Anthony J. – School Psychology Quarterly, 2011
The purposes of this paper are to outline seven types of qualitative data analysis techniques, to present step-by-step guidance for conducting these analyses via a computer-assisted qualitative data analysis software program (i.e., NVivo9), and to present screenshots of the data analysis process. Specifically, the following seven analyses are…
Descriptors: Qualitative Research, Research Methodology, School Psychology, Data Analysis
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Kruger, Deirdre; Osman, Razia – Perspectives in Education, 2010
This article aims to describe how xenophobia is experienced by a small selection of immigrant participants in five inner city schools in Johannesburg. The May 2008 xenophobic violence prompted the investigation. Theoretically, the article is also concerned with ways to combat xenophobia in schools with a view to bringing about fundamental social…
Descriptors: Qualitative Research, Altruism, Stranger Reactions, Social Change
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Leech, Nancy L.; Onwuegbuzie, Anthony J. – School Psychology Quarterly, 2007
One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to…
Descriptors: Qualitative Research, Research Methodology, School Psychology, Data Analysis
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Strijbos, Jan-Willem; Stahl, Gerry – Learning and Instruction, 2007
In CSCL research, collaboration through chat has primarily been studied in dyadic settings. This article discusses three issues that emerged during the development of a multi-dimensional coding procedure for small-group chat communication: (a) the unit of analysis and unit fragmentation, (b) the reconstruction of the response structure and (c)…
Descriptors: Research Methodology, Coding, Group Discussion, Reliability
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