Analysis of qualitative data can be
significantly enhanced through use of computer software which provides tools to
assist the process. NVivo, from QSR International,
provides tools that allow researchers to work in diverse and effective ways
with their data:
o managing data sources and ideas and information
derived from those sources;
o searching data to locate passages of interest or
explore expressions of interest;
o recording developing ideas and understanding of the data
in memos and models;
o querying the data, and coding based on the data, to
explore patterns or test emerging ideas;
o linking qualitative with quantitative data.
Introductory training materials and
30-day free trial software are available from the QSR website: www.qsrinternational.com Comprehensive notes taking readers
step-by-step through all basic processes will be provided to participants.
Copies of Qualitative Data Analysis with NVivo will be available for sale at a discount at
workshops. Data preparation notes for those bringing their own data are
available here
Dates, locations and costs of workshops
are listed on the Events
page.
The workshop will provide an overview of
the software. It will then take participants through the processes of
preparing, importing and editing NVivo documents;
recording ideas and reflective thinking about the texts in annotations and
memos; linking of text with other documents and multimedia files; creation,
organization and use of codes to store knowledge about the content of sources;
use of attributes as a way of storing information about cases; tools for
searching and analysis of data; using a modeler for case analysis and to
explore theories and interpretation of data; generating reports from the data.
Opportunities will be given for discussion of methodological issues, and how
the software tools relate to project goals. Participants should expect to work
with their own data.
This is similar to the two day program, except that more time is
available for practice and for individual project discussion throughout the
workshop. Participants must have their own data to work on.
Teaching sessions will cover the topics
above, and, if required, linking with statistical data.
Participants will work throughout the
week on their own data—in teaching sessions each morning and afternoon, in
group discussions to explore avenues for working with data and the
interpretation of samples of data, through private consultations to solve
particular issues for individual projects, and in solo periods of work for
consolidation of skills. By the end of the week it is expected that each
participant will have not only gained a thorough understanding of the program
and how to use it, but also will have advanced their own project to a
significant degree.
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