The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
Loughborough research forum 2010 data overload presentation
1. Nicola Beddall-Hill
Informatics ESRC PhD candidate
Attached to the TLRP TEL project
Ensemble
Workshop Session: Dealing with data Overload
The Retroductive Approach
Research2 PhD Forum on Research Methods Information Science at
Loughborough University: 9th July 2010
Workshop Session: Dealing with data Overload
The Retroductive Approach
Research2 PhD Forum on Research Methods Information Science at
Loughborough University: 9th July 2010
Supervisors: Prof. J., Raper; U., Patel; Prof. P., Carmichael & Prof. F., Webster
2. Retroductive approach
The basic task of social
enquiry is to explain…
regularities (R).
Explanation takes the
form of positing some
underlying mechanism
(M) which generated the
regularity....
How the workings of
such mechanisms are
contingent and
conditional (C).
Retroductive
Aim To discover underlying mechanisms to
explain observed regularities
From Document & model a regularity
Construct a hypothetical model of a
mechanism
To Find the real mechanism by
observation &/or experiment
Regularity = mechanism + Context
(Adapted from Pawson & Tilley (1997:72) in Blaikie (2000:112)
Regularity = mechanism + Context
(Adapted from Pawson & Tilley (1997:72) in Blaikie (2000:112)
(Adapted from Blaikie,2000:09)
3. • Ethnographic observation creating mixed data- audio visual,
audio, still, focus groups, field notes and GPS track logs
• The data is the observation of the life cycle of a student
project using technology to enhance learning
• Need to start at the beginning to understand the outcomes
• Mixed media taken simultaneously needs joining up
• 65GB of raw data!
4. RAW DATARAW DATA
DatabaseDatabaseTimeline
Level 1:
Organize raw data
Level 2:
Sort in database
Level 3:
Timeline critical
events
Level 4:
Make critical events
anonymous into
Fedora
Level 5:
Critical events in
ATLAS using
theoretical concepts
Level 6:
Create a model
Level 7:
Test model
5. DatabaseDatabase
RAW DATARAW DATA
Timeline
FEDORAFEDORA
Level 1:
Organize raw data
Level 2:
Sort in database
Level 3:
Timeline critical
events
Level 4:
Make critical events
anonymous into
Fedora
Level 5:
Critical events in
ATLAS using
theoretical concepts
Level 6:
Create a model
Level 7:
Test model
6. RAW DATARAW DATA
DatabaseDatabase
ATLAS ti.6ATLAS ti.6Concepts
to theorize
Concepts
to theorize
Timeline
FEDORAFEDORA
Field trip
test bed
Field trip
test bed
Level 1:
Organize raw data
Level 2:
Sort in database
Level 3:
Timeline critical
events
Level 4:
Make critical events
anonymous into
Fedora
Level 5:
Critical events in
ATLAS using
theoretical concepts
Level 6:
Create a model
Level 7:
Test model