2017
DOI: 10.1177/1077800417731080
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Digital Tools for Qualitative Research: Disruptions and Entanglements

Abstract: In this introduction to the special issue on digital tools for qualitative research, we focus on the intersection of new technologies and methods of inquiry, particularly as this pertains to educating the next generation of scholars. Selected papers from the 2015 International Congress of Qualitative Inquiry special strand on digital tools for qualitative research are brought together here to explore, among other things, blogging as a tool for meaning-making, social media as a data source, data analysis softwa… Show more

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Cited by 28 publications
(16 citation statements)
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“…There is a considerable literature which takes for granted the notion that audio recording interviews inevitably produces more accurate and therefore better interviews ( Green and Thorogood, 2009 : 101ff. ; Lee, 2004 ; Paulus et al, 2017 ; Tuckett, 2005 ). The intellectual logic underpinning this is that audio-recorded data, which constitute the ‘facts’ of the interview account, will produce more valid and trustworthy data.…”
Section: Discussionmentioning
confidence: 99%
“…There is a considerable literature which takes for granted the notion that audio recording interviews inevitably produces more accurate and therefore better interviews ( Green and Thorogood, 2009 : 101ff. ; Lee, 2004 ; Paulus et al, 2017 ; Tuckett, 2005 ). The intellectual logic underpinning this is that audio-recorded data, which constitute the ‘facts’ of the interview account, will produce more valid and trustworthy data.…”
Section: Discussionmentioning
confidence: 99%
“…At the same time, newer media technologies such as smartphones, with their omnipresence and distinct “affordances” such as portability, availability, locatability, and multimediality (Schrock, 2015), offer a wide methodological potential for the social sciences. As programmable, software-based technologies (Boase, 2013), smartphones are promising tools generating new opportunities both for the researcher (van Doorn, 2013) and for the data collection process (Paulus, Jackson, & Davidson, 2017; Plowman & Stevenson, 2012). Yet, despite their versatile potential, smartphones have gained attention mainly as tools for quantitative data collection where their sensory and automatic logging features are applied (e.g., Boase & Ling, 2013; Bouwman, de Reuver, Heerschap, & Verkasalo, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Cross-language research refers to research studies where a language barrier is present and data collection must involve the use of interpreters at some stage during the research process (Croot et al, 2011;Squires, 2009;Squires et al, 2013). A critical factor of crosslanguage research, regardless of methodological approach, is that it must be completed in teams (Chapple & Ziebland, 2018;Esposito, 2001;Im et al, 2017;Paulus, Jackson, & Davidson, 2017;Shordike et al, 2010;Stanley & Slattery, 2003). Cross-language research cannot be rigorous unless a team was involved because the interpretation of the data would be subject to the individual biases of a single researcher and are likely to be less representative of the population of interest.…”
Section: Data Sourcesmentioning
confidence: 99%