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Call for Chapters: Enhancing Qualitative and Mixed Methods Research with Technology

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Shalin Hai-Jew (Kansas State University, USA)

Call for Chapters

Proposals Submission Deadline: October 31, 2013
Full Chapters Due: December 30, 2013

For release in the Advances in Knowledge Acquisition, Transfer, and Management (AKATM) Book Series.


In the past several decades, since Miles & Huberman's (1984) classic work on qualitative data analysis, there has been a lot of progress in honing and advancing qualitative research methods. These methods include action research, portraiture, ethnography, oral history, experience sampling/ecological momentary assessment, autoethnography, interviews, surveys, Delphi studies (including modified Delphi and modified e-Delphi studies), case studies, hermeneutics (text interpretation), qualitative meta-analyses, and other research techniques. In some domains, qualitative and mixed methods research is the only way to query the world because experimentation may be infeasible or excessively expensive.

In qualitative and mixed method research, the researcher himself or herself is trained to be an effective research tool, designed to function in various immersive “in vivo” (“within the living”) situations. Qualitative and mixed method researchers are trained to use themselves as research tools. They instill rigor in their work through various means: triangulating data, sampling broadly and/or in depth, applying a range of analytical tools, applying deep self-awareness about their own biases, documenting thoroughly through field notes/video-recording/audio recording, and other methods. This mixed methods work results in a rich range of parametric and non-parametric data. And while they strive for reliability and validity, their data often cannot be generalized broadly as in quantitative research. Qualitative research is used in a variety of fields, typically, in the social sciences, including anthropology, sociology, political science, education, and other areas.

In recent years, a number of technologies have come online to enhance the work of qualitative and mixed methods researchers.

Literature Reviews: The capture of secondary research data has been enhanced with the wide access to a broad range of information in online libraries, databases, referatories, repositories, and the wilds of the Web and Internet. Published works are currently more accessible than ever.

Primary Information Collection: These include software programs that enable data extraction and mapping from electronic sources, such as understandings of various network ties on the Internet. There are open-source and proprietary tools that enable the extraction of social network and other information from a wide range of social media platforms. There has been dynamic network analysis by using humans in social networks as “sensors.” Various case studies surrounding human interactions and learning have emerged in immersive virtual worlds and simulation environments. Online surveys have been deployed to capture both parametric and non-parametric information. Various mobile devices have been deployed to support the collection of research data—whether automated sensor data or human-submitted information. Eye-tracking programs enable the capture of eye-movements as test subjects engage visuals on a computer screen to illuminate insights about human perception and attention. Web conferencing has been used to bring together various researchers with their research subjects.

Information Management: With the collection and representation of information in a range of digital and analogic ways, a range of software tools have been created to manage and store this data. This data management enables more efficient searchability of various types of electronic and digitized information.

Data Processing: Various technologies have made the work of research more efficient. Interviews are captured using a variety of audio and video capture devices. The results of the qualitative or mixed methods research may be machine-transcribed for a rough-copy text.

Data Analysis: The “datafication” of information in machine-analyzable ways has also enabled richer ways of analyzing data. Texts are a core aspect of qualitative research. There are quite a few software tools available for the analysis of textual data to identify patterns and represent new meanings. There are software programs that extend the capabilities of the researcher in terms of information coding and meaning-making. Machine-enhanced analytics has enabled the identification of aspects of interest (such as correlations and anomalies) from “big data” (represented as having an “N of all”).

Data Visualizations: Various software tools enable data visualizations: word clouds, two-dimensional and three-dimensional graphs, mind maps, spatialized mapping, and other methods of visualizations.

Presentations: The findings from qualitative and mixed methods research may be displayed or shared in various online and face-to-face contexts using a variety of technologies.

In the past years, there have been a number of advancements in technologies used to enhance qualitative and mixed methods research. These innovations have expanded human knowing and knowability.

Qualitative and mixed methods researchers have employed a variety of information and communication technology (ICT) tools, simulated or virtual environments, information capture systems, information capture devices, data analysis and visualization tools, and presentation tools.

Objective of the Book

This edited book would update the state-of-the-art of technologies used in qualitative and mixed methods research, with practical and applied insights. Various technologies will be explored and highlighted.

Target Audience

The intended audience members are graduate students, faculty, and qualitative and mixed methods research practitioners in the world.

Recommended topics include, but are not limited to, the following:

  • Contemporary techniques and technologies in qualitative and mixed research
  • Technology for information capture and observations
  • Technology for qualitative and mixed methods research design
  • Technology for intercommunications
  • Technology for extracting and capturing information from social media platforms
  • Technology for research information management and security
  • Technology for data analysis
  • Technology for modeling and simulations
  • Technology for data visualization
  • Technology for presentation of qualitative and mixed methods research
  • Cases in computationally supported qualitative and mixed methods research
  • Submission Procedure

    Researchers and practitioners are invited to submit on or before October 31, 2013, a page-long chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted December 30, 2013. All submitted chapters will be reviewed on a double-blind peer review basis. Contributors may also be requested to serve as peer-reviewers for this project. Empirical research is especially desirable. Case studies are highly encouraged as well.


    This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit This publication is anticipated to be released in 2014.

    Important Dates

    October 31, 2013: Proposal Submission Deadline
    November 15, 2013: Notification of Acceptance
    December 30, 2013: Full Chapter Submission
    March 15, 2014: Review Results Returned
    April 15, 2014: Final Chapter Submission
    June 15, 2014: Final Deadline

    Editorial Advisory Board

    Dr. Ya-Chun Shih, National Dong Hwa University, Taiwan
    Nancy Hays, Educause
    Dr. William H. Hsu, Kansas State University, USA
    Dr. Rob Gibson, Emporia State University, USA


    Dr. Shalin Hai-Jew