Big Data in Qualitative Organizational Communication Research

View Segments Segment :

  • Citations
  • Add to My List
  • Embed
  • Link
  • Help
  • Citations
  • Add to My List
  • Embed
  • Link
  • Help
Successfully saved clip
Find all your clips in My Lists
Failed to save clip
  • Transcript
  • Transcript

    Auto-Scroll: ONOFF 
    • 00:04

      RYAN BISEL: Hello.I'm Ryan Bisel, Associate Professorof Organizational Communication at the University of Oklahomaand the lead author on Sage's Management CommunicationQuarterly Forum essay titled, "A Roundtable Discussionof Big Data and Qualitative Organizational CommunicationResearch."The story of this paper began, for me,

    • 00:24

      RYAN BISEL [continued]: at the coming together of two events.On one hand, I was advising a qualitative dissertation.My advisee collected a huge qualitative data setof nearly 1,000 pages of transcripts.Just imagine a really close line-by-line analysisof two reams of paper.On the other hand, I was reading about and becoming more aware

    • 00:46

      RYAN BISEL [continued]: of this big data movement, and that US universities aregetting federal funding to analyzegiant stores of information collected in our digital world.Think here about databases of credit cardpurchases or social media use.Not surprisingly, a lot of this researchis highly quantitative.

    • 01:06

      RYAN BISEL [continued]: Those two events got me thinking about arranging a conversationamong key methodological thinkers.So I contacted professors Kevin Barge, Debbie Dougherty,Kristin Lucas, and Sarah Tracy.I arranged for us to have a public discussionabout this topic at the 2013 meeting of the National

    • 01:30

      RYAN BISEL [continued]: Communication Association in Washington, DC.The point was to use the big data metaphoras a kind of conversational triggerand anchor so that we could define and redefine bignessas it relates to qualitative research.The truth is, I didn't know what would happen.But in the end I was struck by the significant agreement

    • 01:52

      RYAN BISEL [continued]: among us that bigness in qualitative communicationresearch needs to be thought of in terms, and in relationshipto, the questions that can be answeredand the theores that can be extended.The conversation worked out so well,we just knew we had to get it down in writing,and the article was born.

    • 02:12

      RYAN BISEL [continued]: For me, there's a number of highlights.And I think about Professor Barge's descriptionof his research teams, multiple data collection strategiesof real time complex teams.I also think about how he remindsus to collect enough data so that wecan cross-check analyses.He points our attention to Silverman's notion

    • 02:35

      RYAN BISEL [continued]: of progressive focusing.That's a really cool idea that I like a lot.I also like that Professor Barge remindsus to disrupt our thinking strategically and reflexivelythroughout the entire theorizing process.Professor Dougherty emphasizes that big datain qualitative research are just useful data.

    • 02:56

      RYAN BISEL [continued]: She reminds us there are no shortcuts in these journeys.I like that a lot.I also like how Professor Dougherty tells us and explainsthat good design in qualitative researchcan just be elegant in its simplicity.Professor Tracy draws on her experience

    • 03:16

      RYAN BISEL [continued]: with doing grant-funded big data research.And she confesses to us that in doing this,some of the actual research goalswere not even made known to her until well into the process.I also like that she explained she appreciates the opportunityto fund graduate students through this work,as well as getting to see her work used

    • 03:36

      RYAN BISEL [continued]: in important public materials.I describe how I think collectinga large qualitative data set is neither admirable norproblematic, necessarily.Surely there's a critical lower boundary.The best claims are supported by a lot of evidence, evenmultiple bases of evidence.

    • 03:57

      RYAN BISEL [continued]: But pragmatically, when you get down to it,collecting a huge qualitative data setcan be very difficult to analyze in a rigorous, systematic way.Where huge qualitative data sets are collected,it could mean that design and forethought were lacking,or that a systematic analysis was shortchanged.

    • 04:18

      RYAN BISEL [continued]: Along with these points, I talk about howa faith in big numbers may really just comefrom genuine concerns about how generalizability claims getworked out in qualitative research.Professor Lucas gives a lot of practical advice for peoplewho've collected a huge qualitative data set.I love her advice to conduct an early intervention data

    • 04:42

      RYAN BISEL [continued]: session with others so that early categories canbe presented with the hope of generating creative disruptionearly on in the theorizing process.I also like that she reminds us to tell the biggeststory possible with our qualitative data.We hope that you enjoy reading the article,and we hope you find it as rich of a learning experience

    • 05:03

      RYAN BISEL [continued]: as we did in creating it.

Big Data in Qualitative Organizational Communication Research

View Segments Segment :

Abstract

Prof. Ryan Bisel explains how he and a team of professors put together a paper entitled "A Roundtable Discussion of Big Data and Qualitative Organizational Communication Research."

Big Data in Qualitative Organizational Communication Research

Prof. Ryan Bisel explains how he and a team of professors put together a paper entitled "A Roundtable Discussion of Big Data and Qualitative Organizational Communication Research."

Copy and paste the following HTML into your website

Back to Top