TQM - Teaching Qualitative Methods
Teaching Quialitative Methods
 
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Cancelled: 3rd TQM Conference
May 11th-12th, 2007

NOT Cancelled: Training Sessions
May 13th-15th, 2007

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TQM 2007 Conference: Training Session Descriptions

Introduction to NVivo

  • (day one) a full-day hands-on overview
  • (day two) starting your project with your own data

Participants may attend a one-day overview only, or BOTH the overview and the second day, starting a project, optionally with their own data.  Participants may not register for second day without attending the first day overview. 

NVivo is a popular and powerful tool to support qualitative research.  In this two-day session participants will learn about how a tool like NVivo helps researchers understand their data, linking conceptual understandings of qualitative research practice with practical processes of using NVivo.  We will talk about why to use a computer tool, how to set up a project and data records to make the most of NVivo.  We will explore the basics of coding, memoing, and printing out the various reports that help a researcher synthesize their knowledge.  A basic understanding of qualitative research is required.  Participants will use a supplied data set to illustrate tools.

The Qualitative Analysis of Video using Transana

Transana (http://www.transana.org) is free software for the transcription and qualitative analysis of digital video or audio data. Transana lets you analyze and manage your data in very sophisticated ways, allowing you to easily transcribe your media files, identify analytically interesting clips, assign keywords to clips, arrange and rearrange clips, create complex collections of interrelated clips, and explore relationships between applied keywords. Transana allows you to remain extremely close to your media data throughout the analytic process, and the multi-user version allows collaborative analysis, even over a distance. 

This training session will cover all aspects of using Transana for the qualitative analysis of video.  Topics will include preparing video for analysis in Transana, transcription as an analytic act, identifying analytically interesting video segments, coding, searching, data-mining, and hypothesis testing, collaboration, and sharing data.  The workshop is highly interactive, and provides plenty of opportunity for hand-on practice.  Participants are encouraged to bring their own laptops.  Transana software and sample data will be provided, or you can bring your own video in MPEG-1, MPEG-2, AVI, MOV, MP4, WMV (Windows only) MP3, WAV, or WMA (Windows only) format.

NVivo Advanced Techniques

Individuals interested in attending NVivo Advanced Techniques should already have a basic understanding of the following tools, and the ability to technically manage the basic elements of these tools in NVivo:

  • Preparing and importing files
  • Coding to Free and Tree nodes
  • Creating memos
  • Assigning attributes to cases
  • Conducting text, coding, and matrix searches
  • Developing simple models

Participants will be contacted prior to the training to discuss their status with the software and goals for the session.  The NVivo Advanced Techniques training session will be partially guided by participant needs.  Based upon participant interest this session may include (but is not limited to): 

  • Handling external files
  • Maximizing links and memos in the analysis
  • Handling complex case hierarchies
  • Constructing compound searches
  • Naming conventions (project-wide) that foster analysis
  • Boolean logic and other search techniques
  • Orchestrating matrix searches to identify interaction effects
  • Grappling with the paradox of a simpler coding structure that can provide MORE than a complex coding structure (also, what to do when a coding structure seems to run amuck?)
  • Using the modeler to interpret and present connections and relationships
  • Strategies for communicating the software abilities to nay-sayers, Luddites, and the under-informed
  • Strategies for linking theory, method, analysis, and findings from inside the software

Exploring the Integration of QDA software into College Courses

Multiple issues exist for instructors trying to use software in for-credit courses. This facilitated session will identify issues, brainstorm ideas to address them, and explore potential teaching strategies.  The session will include practical hands-on instructional activities for course delivery.  Participants are encouraged to have some familiarity with QDA software prior to the training session.   In addition, participants should have experience teaching research, but who haven't necessarily begun integrating QDA software into course content.

Examining Quality in Qualitative Research: Research Methods using NVivo

"Help! I don't use that QDA software... how can I tell they're "doing it right?"

Research students are increasingly using qualitative methodology and mixed method design. This growing application of qualitative research in the thesis and dissertation process is resulting in the increased use of qualitative data analysis software (QDAS).  Dissertation chairs, supervisors, committee members, and examiners are increasingly assessing graduate student qualitative research which incorporates the use of QDAS.  This session will help educators and researchers apply the software as an assessment tool in examining quality and to explore the possibilities and boundaries of changing practices in qualitative data collection and analysis.

The session will begin with hands-on introductory training using NVivo software.  This software overview will be followed by discussion on the criteria and process of judging quality in qualitative research.  Participants will use the software to examine sample qualitative research and apply assessment criteria using software features.  Training will demonstrate the use of the software as a tool to enhance dissertation design transparency and promote more rigorous practice.  Faculty members participating in this workshop are encouraged to attend and participate in the Doctoral Research Forum.

The following resources may be useful for those interested in getting a head start: