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How voice-recognition software presents a useful transcription tool for qualitative and mixed methods researchers

Fletcher, Anna K. and Shaw, Gregory (2011). How voice-recognition software presents a useful transcription tool for qualitative and mixed methods researchers. International Journal of Multiple Research Approaches,5(2):200-206.

Document type: Journal Article

IRMA ID 82056760xPUB49
Title How voice-recognition software presents a useful transcription tool for qualitative and mixed methods researchers
Author Fletcher, Anna K.
Shaw, Gregory
Journal Name International Journal of Multiple Research Approaches
Publication Date 2011
Volume Number 5
Issue Number 2
ISSN 1834-0806   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-84855553831
Start Page 200
End Page 206
Total Pages 7
Place of Publication Australia
Publisher eContent Management Pty Ltd.
HERDC Category C1 - Journal Article (DIISR)
Abstract Voice recognition (VR) software has increased in accuracy and ease of use over the last decade. While VR has been seen as carrying the potential to significantly ease the transcription process, only recently has it gained enough accuracy and ease of use to become a valid option to manually typed transcription of qualitative data. However, the use of VR transcription in Mixed Methods research has largely remained unexplored. This article aims to illustrate how VR software is useful when transcribing open-ended questionnaires and interviews in mixed methods research. A significant amount of time was saved yet valuable insights of emerging themes were gained at an early stage of the data processing.
Keywords transcription
voice recognition
MacSpeech
questionnaires
interviews
mixed methods research
DOI http://dx.doi.org/10.5172/mra.2011.5.2.200   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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Created: Fri, 17 Jan 2014, 00:45:08 CST