Title: Qualitative Secondary Analysis: Asking new questions of old data
1Qualitative Secondary Analysis Asking new
questions of old data
- Brenda M. Gladstone
- Tiziana Volpe
- Community Health Systems Resource Group
- The Hospital for Sick Children
- QUIG, April 23, 2008
2Introduction
- Little published evidence of benefits
limitations1 - Lack of guidance about QSA process,
methodological decision-making or evaluative
criteria2,3 - Need for empirical exemplars1
- Why now? emergence of data archiving and advances
in computing - Promotion of data sharing and data retention in
policy and practice (ESRC Qualidata in the UK)
1Corti Thompson, 2004 2Thorne,
19941998 3Sandelowski, 1997
3Defining QSA
- Reuse of existing data, collected for prior
purposes, a term used to describe various
analytical practices to - investigate new questions, or a new perspective
on an old question. - corroborate, validate or refine original
(primary) analysis - Inclusion of meta-research designs
(meta-synthesis meta-analysis meta-ethnography)
is contentious - Qualitative longitudinal research
4Why do QSA?
- Generate new knowledge new hypotheses/questions
to support existing theories - Expand/extend, data sets/participant numbers and
analysis - Enable comparative research in different
geographical/temporal(historical)/cultural
contexts - Generalizability of findings, data from different
researchers researching similar populations - Methodological and substantive teaching tool
5Why do QSA (cont.)?
- Student projects
- Existing databases represent considerable
financial and temporal commitments - Respondent fatigue burden to talk more
sensitivity to those living stressful lives
vulnerable, inaccessible populations - Development of archival data
6Types of QSA (Heaton, 1998 2004)
- Supra analysis transcends original focus
examining new empirical, theoretical,
methodological questions - Supplementary analysis more in-depth
investigation of an emergent issue or aspect of
data not fully considered in primary study - Re-analysis data are re-analyzed to verify and
corroborate primary analyses of qualitative data
sets - Amplified analysis combines data from 2 or more
primary studies for the purposes of comparison or
to enlarge a sample - Assorted analysis combines secondary analysis of
data with primary research and/or analysis of
naturalistic data
7Theoretical, methodological, ethical and
practical challenges related to QSA
- Nature of qualitative data
- Problem of data fit
- Problem of not having been there
- Problem of verification
- Researcher(s) relationship to primary data
8Doing QSA A case example
- The Original Study
- Understanding social factors influencing
motivation while living with schizophrenia or
first episode psychosis (FEP) - 60 in-depth interviews
- People diagnosed with schizophrenia
- Young people experiencing FEP
- Parents
- Health Professionals
- Interviews transcribed and entered into Ethnograph
9Doing QSA A case example
- The QSA Study
- A supra analysis of a subset of interviews with
parents whose children had experienced a first
episode of psychosis - Purpose ask new questions of primary data about
parents help-seeking experiences - Data consisted of 10 interview transcripts with 7
mothers, 3 fathers - Consent from original participants not obtained
for QSA
10Challenges Encountered
- Establishing quality
- Context
- Documentation
- Funding
- Ethics
11QSA Challenges Establishing Quality
- Establishing rigor/trustworthiness criteria for
primary/secondary analysis, equally applicable? - Availability of original transcripts and
documents - Role of original researchers
- Context in which data was collected
- Sampling issues
- Analytic framework
12QSA Challenges Context
- Considering the historical, biographical, and
theoretical contexts in which the primary study
was conducted - Field of early intervention
- Help-seeking processes
- Researcher location disciplinary training
- Role of researcher in design implementation of
study
13QSA Challenges Documentation
- Availability/quality of primary study documents
- Transcripts
- Demographic information
- Audio recordings
- Field notes analytic notes
- Technological changes
- Human financial resources
14QSA Challenges Funding
- Funding a secondary analysis
- Who funds it?
- What is it worth?
- Is it cost effective?
- Data storage and archival costs?
15QSA Challenges Ethics
- Obtaining REB approval
- Informed consent
- Does re-using data violate original consent?
- Is it feasible and/or appropriate to go back to
participants? - Building in consent for future studies
- Confidentiality/Anonymity
- What is anonymization in the context of QSA
- What is enough anonymization
- Data stockpilingjust in case
16Emerging Guidelines for QSA
- Suggested guidelines for documentation
- Information regarding interaction between
researcher/participants - The whole interview not just the parts
- Background information about the interviewer
(age, gender, race, social class) - Place, time, setting
- How participants were approached/recruited
- Information about relevant others (gatekeepers)
17ISA-RC33 7th International Conference in Naples,
September 1-5, 2008
- Session 1 Making qualitative data more
re-usable defining issues of context and - representation
- Session 2 Making qualitative data more
re-usable technical solutions for capturing - context and representation
- We would like to invite papers that consider
issues around the effective archiving and further
(re)use of raw qualitative research data, with a
particular focus on the issues of how context is
defined and (re)captured.
18Going Forward
- Archiving primary data and documentation
- audio-tapes, interviews, transcripts,
field-notes, journals, photos? - how is it organized, managed, and stored?
- Who owns the data? Who is responsible for data?
How is credit for the primary/secondary analysis
established? - SSHRC Research Data Archiving Policy
19References
- Cisneros Puebla, C., Mruk, K., Roth, W.
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