IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Software-Assisted Transcribing for Qualitative Interviews: Practical Guidelines

Software-Assisted Transcribing for Qualitative Interviews: Practical Guidelines
View Sample PDF
Author(s): Taghreed Justinia (King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia & Swansea University, UK)
Copyright: 2015
Pages: 24
Source title: Enhancing Qualitative and Mixed Methods Research with Technology
Source Author(s)/Editor(s): Shalin Hai-Jew (Hutchinson Community College, USA)
DOI: 10.4018/978-1-4666-6493-7.ch010

Purchase

View Software-Assisted Transcribing for Qualitative Interviews: Practical Guidelines on the publisher's website for pricing and purchasing information.

Abstract

This chapter introduces a guide to transcribing qualitative research interviews assisted by digital transcription software. It also provides practical advice on transcribing methods, conventions, and options. It is useful in its exploration of the challenges involved with transcribing, while it offers detailed solutions and advice for the novice researcher. The chapter also addresses key concerns, like the time it takes to transcribe, transcription tools, and digital versus analogue recordings. As a method chapter based on experiences from a case, it takes on a practical approach by demonstrating the benefits of data analysis software packages with examples and screenshots on how to specifically use the software package Express Scribe. The pros and cons of using a transcriptionist are also discussed. A real transcript is presented in the chapter, and the steps involved with developing and formatting it are offered in detail. The guidelines suggested in this chapter are concentrated on the pragmatic hands-on experience of a researcher with examples from a real life large-scale qualitative study based on in-depth interviews. The significance of transcribing within the analytical process and the methodological insights of using Express Scribe eventually emerge as a developing concept from this work.

Related Content

Tutita M. Casa, Fabiana Cardetti, Madelyn W. Colonnese. © 2024. 14 pages.
R. Alex Smith, Madeline Day Price, Tessa L. Arsenault, Sarah R. Powell, Erin Smith, Michael Hebert. © 2024. 19 pages.
Marta T. Magiera, Mohammad Al-younes. © 2024. 27 pages.
Christopher Dennis Nazelli, S. Asli Özgün-Koca, Deborah Zopf. © 2024. 31 pages.
Ethan P. Smith. © 2024. 22 pages.
James P. Bywater, Sarah Lilly, Jennifer L. Chiu. © 2024. 20 pages.
Ian Jones, Jodie Hunter. © 2024. 20 pages.
Body Bottom