scholarly journals Doing Qualitative Research in a Digital World

Author(s):  
Kenza Bennani

Trena M. Paulus and Jessica N. Lester (2021), Doing Qualitative Research in a Digital World, Thousand Oaks, CA: Sage. VitalSource. 376 pages. (ISBN: 9781544321585) Reviewed by Kenza Bennani


2020 ◽  
Vol 2 (4) ◽  
pp. 111
Author(s):  
Rumsari Hadi Sumarto ◽  
Lukas Dwiantara

This study aims to describe and analyze community empowerment activities in the Dewo Bronto Tourism Village in Yogyakarta through the concept of Community-Based Tourism. This study uses qualitative research that describes community empowerment through the concept of Community Based Tourism objectively based on data findings in the field. Data collection techniques using observation, interviews, and documentation. Community empowerment in the field of tourism in the tourism village is carried out through various fields such as culinary business, the production of natural dyes of batik, batik training, transportation, arts and cultural attractions. This effort can support the development of tourism in the Dewo Bronto Tourism Village. However, community empowerment needs to be supported by the ability of the community to create a brand for a tourist village so that the Tourism Village is better known by tourists. In the future, it is necessary to do research on millennial communities who are familiar with the digital world so that they can promote the Village Tourism digitally. The impact of the tourist village is better known to tourists globally





2017 ◽  
Vol 18 (6) ◽  
pp. 591-603 ◽  
Author(s):  
Kathy A. Mills

Amid the big claims of big data, analytics, datification, and data mining, this article answers central questions for qualitative research. In the debates about the enormity and ubiquity of data in the digital world, qualitative research endeavors are seemingly threatened. But is big data necessarily better? Can big data answer the fundamental questions that qualitative researchers ask? This article interrogates the key issues for qualitative researchers in the big data era, positioning big data in its historical context. This article offers a critique of assumptions about access to big data, and uncovers the dark side of big data and privacy in a risk society. The potentials of big data for qualitative research are examined, providing recommendations to bring together complementary research endeavors that map large scale social patterns using big data with qualitative questions about participants’ subjective perceptions, rich expression of feelings, and reasons for human action.



2015 ◽  
pp. 1409-1433
Author(s):  
Kakali Bhattacharya

Many institutions of higher education do not have well-developed qualitative research methods programs. Consequently, the role of qualitative research is minimized, and its legitimacy questioned as the methodology of choice in dissertations, relegating qualitative research as second fiddle to quantitative research. In this chapter, the authors present how using a three-dimensional multiuser virtual/digital world called Second Life serves as a fertile and rigorous space for critically engaged ethnographic practices in an institution where resources for qualitative research are scant. Using information extracted from students' projects conducting mini-ethnographies in Second Life, their YouTube podcasts, students' reflections in learning key concepts in qualitative research without prior exposure to this methodology, the authors engage in a discussion of transformative learning experiences. Discussion of transformative learning experiences includes an intersection of critical dialogue of integration of digital technologies, virtual worlds in qualitative research, kind of learning and learners produced as a result, and reflections necessary for pedagogically aligned instructional design and delivery.



Author(s):  
Kakali Bhattacharya

Many institutions of higher education do not have well-developed qualitative research methods programs. Consequently, the role of qualitative research is minimized, and its legitimacy questioned as the methodology of choice in dissertations, relegating qualitative research as second fiddle to quantitative research. In this chapter, the authors present how using a three-dimensional multiuser virtual/digital world called Second Life serves as a fertile and rigorous space for critically engaged ethnographic practices in an institution where resources for qualitative research are scant. Using information extracted from students’ projects conducting mini-ethnographies in Second Life, their YouTube podcasts, students’ reflections in learning key concepts in qualitative research without prior exposure to this methodology, the authors engage in a discussion of transformative learning experiences. Discussion of transformative learning experiences includes an intersection of critical dialogue of integration of digital technologies, virtual worlds in qualitative research, kind of learning and learners produced as a result, and reflections necessary for pedagogically aligned instructional design and delivery.



Author(s):  
John Mansfield

Advances in camera technology and digital instrument control have meant that in modern microscopy, the image that was, in the past, typically recorded on a piece of film is now recorded directly into a computer. The transfer of the analog image seen in the microscope to the digitized picture in the computer does not mean, however, that the problems associated with recording images, analyzing them, and preparing them for publication, have all miraculously been solved. The steps involved in the recording an image to film remain largely intact in the digital world. The image is recorded, prepared for measurement in some way, analyzed, and then prepared for presentation.Digital image acquisition schemes are largely the realm of the microscope manufacturers, however, there are also a multitude of “homemade” acquisition systems in microscope laboratories around the world. It is not the mission of this tutorial to deal with the various acquisition systems, but rather to introduce the novice user to rudimentary image processing and measurement.



2000 ◽  
Vol 64 (8) ◽  
pp. 616-618
Author(s):  
B DiCicco-Bloom


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