[Air-L] Air-L Digest, Vol 73, Issue 6

[Gonzalo Bacigalupe]

Interesting question
Missing data in qualitative research? I think of saturation as an
important principle, if saturation is accomplished, then we would not
have missing data.
In quantitative research, missing data is usually similarly treated as
its opposite, the outliers, as noise.

Date: Fri, 6 Aug 2010 16:17:44 +0100
From: William Dutton <william.dutton at oii.ox.ac.uk>
To: "air-l at listserv.aoir.org" <air-l at listserv.aoir.org>
Subject: [Air-L] Missing Data in Qualitative and Online Research
Message-ID: <8B138436-DD99-4B3E-BF52-3A89D026938E at oii.ox.ac.uk>
Content-Type: text/plain; charset="Windows-1252"

Dear List Members,

My colleagues and I would greatly appreciate your input to an
exploratory project on missing data in qualitative and online
research.* We would appreciate anything from your immediate reactions
while reading this e-mail to detailed references to literature that
has addressed our questions.

There are two very general but heuristically useful questions. Your
views on either would be welcomed. Feel free to reply privately or to
the list, as you wish.

1. What is ?missing data? in the context of qualitative research and
how is it dealt with?

2. Likewise, in computer-mediated research, are researchers missing
particular kinds of data, or believe that they are missing particular
kinds of observations, and how are they compensating or otherwise
addressing this gap?

Thoughts? Thank you,

Bill

*This is a collaborative project between the ESRC?s National Centre
for Research Methods (NCRM) ?hub? (Graham Crow, Rose Wiles), WISERD
(Amanda Coffey), Oxford eSocial Science ?node? of NCeSS (Bill Dutton,
Alison Powell), and Qualidata/Timescapes (Libby Bishop), based on our
recognition of a shared but not well developed problem.

William Dutton, Director
Professor of Internet Studies
Oxford Internet Institute
1 St Giles', Oxford OX1 3JS  UK

e-mail: william.dutton at oii.ox.ac.uk
Web: http://www.oii.ox.ac.uk/people/?id=1
Phone: +44 (0)1865 287 212
Cell: +44 (0)7768 823906