Difference between revisions of "Paulus-Lester2015"

From emcawiki
Jump to: navigation, search
(Created page with "{{BibEntry |BibType=ARTICLE |Author(s)=Trena M. Paulus; Jessica Nina Lester; |Title=ATLAS.ti for conversation and discourse analysis studies |Tag(s)=EMCA; CAQDAS; software; te...")
 
 
Line 3: Line 3:
 
|Author(s)=Trena M. Paulus; Jessica Nina Lester;
 
|Author(s)=Trena M. Paulus; Jessica Nina Lester;
 
|Title=ATLAS.ti for conversation and discourse analysis studies
 
|Title=ATLAS.ti for conversation and discourse analysis studies
|Tag(s)=EMCA; CAQDAS; software; technology; ATLAS.ti; transcription; analysis; conversation analysis; discourse analysis;  
+
|Tag(s)=EMCA; CAQDAS; software; technology; ATLAS.ti; transcription; analysis; conversation analysis; discourse analysis;
 
|Key=Paulus-Lester2015
 
|Key=Paulus-Lester2015
 
|Year=2015
 
|Year=2015
 +
|Language=English
 
|Journal=International Journal of Social Research Methodology
 
|Journal=International Journal of Social Research Methodology
 
|Volume=19
 
|Volume=19
 
|Number=4
 
|Number=4
|Pages=1-24
+
|Pages=1–24
|URL=http://dx.doi.org/10.1080/13645579.2015.1021949
+
|URL=https://www.tandfonline.com/doi/full/10.1080/13645579.2015.1021949
|Abstract=The use of computer-assisted qualitative data analysis software (CAQDAS) has
+
|DOI=10.1080/13645579.2015.1021949
not been without controversy, with a pervasive sense of skepticism and resis-
+
|Abstract=The use of computer-assisted qualitative data analysis software (CAQDAS) has not been without controversy, with a pervasive sense of skepticism and resistance towards its adoption by many scholars. Language-based researchers in particular, such as conversation and discourse analysts, have been slow to embrace such tools for their work. In this paper we illustrate how we have used ATLAS.ti to support our own conversation and discourse analysis work, in order to demonstrate how such a tool can be leveraged to complete nine analytic tasks. Tasks and features we describe include, among others, transcribing and synchronizing transcripts with media files, engaging in unmotivated looking through creating quotations, and conducting a close, line by line analysis through writing memos. We illustrate how ATLAS.ti has allowed us to document our analytic decisions in a transparent, reflexive, rigorous and systematic way. We note, too, limitations of the software such as a lack of real-time collaboration support and challenges inherent to the analysis of video and online interactional data. Rather than taking control away from the researcher, we argue that ATLAS.ti enables the analyst to solve a range of methodological challenges, such as working with large data-sets and supporting deeper levels of analysis than is possible by hand.
tance towards its adoption by many scholars. Language-based researchers in par-
 
ticular, such as conversation and discourse analysts, have been slow to embrace
 
such tools for their work. In this paper we illustrate how we have used ATLAS.ti
 
to support our own conversation and discourse analysis work, in order to demon-
 
strate how such a tool can be leveraged to complete nine analytic tasks. Tasks
 
and features we describe include, among others, transcribing and synchronizing
 
transcripts with media files, engaging in unmotivated looking through creating
 
quotations, and conducting a close, line by line analysis through writing memos.
 
We illustrate how ATLAS.ti has allowed us to document our analytic decisions
 
in a transparent, reflexive, rigorous and systematic way. We note, too, limitations
 
of the software such as a lack of real-time collaboration support and challenges
 
inherent to the analysis of video and online interactional data. Rather than taking
 
control away from the researcher, we argue that ATLAS.ti enables the analyst to
 
solve a range of methodological challenges, such as working with large data-sets
 
and supporting deeper levels of analysis than is possible by hand.
 
 
}}
 
}}

Latest revision as of 03:26, 15 December 2019

Paulus-Lester2015
BibType ARTICLE
Key Paulus-Lester2015
Author(s) Trena M. Paulus, Jessica Nina Lester
Title ATLAS.ti for conversation and discourse analysis studies
Editor(s)
Tag(s) EMCA, CAQDAS, software, technology, ATLAS.ti, transcription, analysis, conversation analysis, discourse analysis
Publisher
Year 2015
Language English
City
Month
Journal International Journal of Social Research Methodology
Volume 19
Number 4
Pages 1–24
URL Link
DOI 10.1080/13645579.2015.1021949
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

Download BibTex

Abstract

The use of computer-assisted qualitative data analysis software (CAQDAS) has not been without controversy, with a pervasive sense of skepticism and resistance towards its adoption by many scholars. Language-based researchers in particular, such as conversation and discourse analysts, have been slow to embrace such tools for their work. In this paper we illustrate how we have used ATLAS.ti to support our own conversation and discourse analysis work, in order to demonstrate how such a tool can be leveraged to complete nine analytic tasks. Tasks and features we describe include, among others, transcribing and synchronizing transcripts with media files, engaging in unmotivated looking through creating quotations, and conducting a close, line by line analysis through writing memos. We illustrate how ATLAS.ti has allowed us to document our analytic decisions in a transparent, reflexive, rigorous and systematic way. We note, too, limitations of the software such as a lack of real-time collaboration support and challenges inherent to the analysis of video and online interactional data. Rather than taking control away from the researcher, we argue that ATLAS.ti enables the analyst to solve a range of methodological challenges, such as working with large data-sets and supporting deeper levels of analysis than is possible by hand.

Notes