'The art of decision-making: critical
reflexivity when undertaking qualitative
data analysis’
Symposium chair
Professor Faith Gibson
Clinical Professor of Children and Young People’s Cancer Care
Great Ormond Street Hospital for Children and London South Bank University.
Qualitative research and theoretical
frameworks: uncomfortable bed-fellows?
Professor Julie Taylor
Head of Strategy and Development, NSPCC (seconded from the University of Dundee)
Dr Caroline Bradbury-Jones
Research Fellow, School of Nursing and Midwifery, University of Dundee
Presentation aims
Propose a typology regarding the
application of theoretical frameworks within qualitative research
Explore the issues that occur when
undertaking qualitative research that is closely aligned to a theoretical model
Examine strategies that may be developed to overcome any
Induction and qualitative research
Induction and qualitative research are comfortable bed-fellows
Induction is the process of drawing conclusions and building theory from data
Induction makes generalisations from individual ‘cases’
Induction stands in contrast to the theory testing of deduction, which is more
aligned to quantitative research
Although these form a continuum, rather than being diametrically opposed,
tensions can arise when these two ontological positions merge
Qualitative research and theoretical
frameworks: a proposed typology
Retrospective
Prospective absent
Pseudo-prospective
An example: a qualitative study on
domestic abuse
Theoretically, we drew upon Leventhal and colleagues’ (2003) Common-Sense Model (CSM) of self regulation of health and illness
Central to this model is representations - or beliefs - about illness. CSM is typically used in disease/condition orientated research relating to how people’s beliefs alter their behaviour
The five CSM domains are: identity, cause, time-line, cure/controllability and consequences
Our application of this theoretical approach helped to impose structure and organisation throughout the research process.
Leventhal H, Brissette I & Leventhal EA (2003) The Common-Sense Model of self-regulation of health and illness. In: Cameron, L.D. & Leventhal, H. (Eds.) The Self-Regulation of Health and Illness Behaviour. Routledge: London, pp. 42-65.
Interpretation of CSM applied in the study
Domain Original understandings Interpretations in this study Identity The label given to a condition Recognition and naming of
domestic abuse ‘How it shows itself’
Cause Ideas about perceived causes The context in which domestic abuse occurs
Time-line Beliefs about how long the condition will last
Temporal aspects of domestic abuse, such as the ‘right time’ for routine enquiry and disclosure
Curability/ controllability
Beliefs about the extent to which a condition can be cured
Where the responsibility lies for disclosure and subsequent
response
Consequences Perceptions regarding the consequences and impact of a condition
Consequences of domestic abuse for women; their children and health professionals
The challenges
Close application of
theory in this particular
study, generated tensions
- particularly during data
generation and analysis
There was risk of
‘squeezing’ the data to fit
the model
Strategies employed
Adaptation of the framework was necessary
Inductive analysis, followed by mapping onto the
theoretical framework, was a key strategy
Although helpful to overcome during analysis,
Discussion
Theoretical frameworks are helpful – some would argue, necessary
A counterargument is that nursing is hamstrung by application of theory
Decisions need to be made regarding the degree to which a framework will drive the study, particularly the analysis
Adhering rigidly to the framework may not always be helpful
Any divergence from a framework (as originally intended) must be explained
Conclusion
Theoretical versus pragmatic design
challenges in qualitative research
Dr Joanna Smith
Lecturer in Children and Young People’s Nursing
School of Nursing, Midwifery and Social Work, University of Salford
Professor Francine Cheater
Director of the Institute for Applied Health Research Glasgow Caledonian University
Dr Hilary Bekker
Senior Lecturer in Behavioural Sciences, Institute of Health Sciences University of Leeds
Presentation aims
Outline challenges when choosing a qualitative research design
Explore the merits of undertaking qualitative research with or without being underpinned by a theoretical framework
Outline potential benefits of adopting a generic design in a study that explored parents perspectives of living with a child with a long-term condition
Research designs
Design Paradigm Purpose and examples
Descriptive Qualitative / Quantitative
Describe situation or experiences to provide a picture of what is happening Cross sectional studies / survey designs
Theoretical Qualitative Develop theory to understand processes Typified by grounded theory
Analytical Quantitative Quantify relationship between two factors Experimental studies typified by RCT’s Observational studies typified by cohort and case control studies
Nursing research:
past and present debates
Qualitative versus
quantitative debate
Polarisation of
researchers whether
qualitative studies should be underpinning by
theoretical framework versus generic approach
Approaches to undertaking qualitative
research
No recognised classification qualitative approaches Range of approachescan relate to:
Use and meaning of language Describing and interpretation participants’ views Developing theory Approaches can be Underpinned by theoretical framework or epistemological position such as grounded theory or phenomenology Independent of theoretical framework (generic approach)
Theoretical versus generic designs:
strengths
Theoretical designs Epistemology/ ontology
underpinning theoretical approaches shape/ provide meaning to data collection and interpretation
-methodological coherence
Researchers position made explicit
Invaluable in explaining organisational cultures, professional and patient behaviours
Generic designs
Data collection and analysis ‘fit’ research question rather than question ‘fitting’
particular theoretical position
Accurately describes
participants’ experiences -stays close to the data
Ensure researchers interpretations are transparency
Theoretical versus generic designs:
criticisms
Theoretical designs
Poor application of theories devalue qualitative research
Theoretical perspectives dominate the research, rather than
answering the question - attempt to seek ‘epistemological
credibility’
Analytical method rather than research design
Researchers interpretations not transparent - findings may not accurately reflect participants’ accounts
Generic designs
Absence of theory results in lack of coherence,
impacting on findings credibility
Analytical method rather than research design
Data analysis can be superficial
The art of decision-making
Consider whether aim of study is to:
Develop theory or enhance theoretical understanding
The art of decision-making
Designing a study aimed at understanding parents’ experiences of living with a
child with hydrocephalus
Study aims Theory
Study context
Parents are responsible for managing their child’s long-term condition, including recognising and responding to changes in their child’s condition
Shunts, the main treatment for hydrocephalus, frequently malfunction which can be life threatening
Detecting shunt malfunction is difficult:
Symptoms unpredictable, variable, similar to general childhood illnesses
Describing parents’ experiences could:
Foster greater understanding between parents and professionals
Improve parent-professional collaboration when determining whether illness symptoms are shunt related
Theoretical perspectives and concepts
Long-term conditions Theoretical perspectives relating to Shifting perspectives model of chronic illness Disability-stress coping model Participation Patient and family-centred
Shared decision-making
Study aims
Describe and understand parents’ experiences and perceptions of living with a child with shunted
hydrocephalus
Specific objectives:
Explore parents’ understanding of hydrocephalus and its treatment
Describe how parents learn about shunt management and associated complications
Explore parents’ decisions when their child experiences illness symptoms and their subsequent health seeking behaviour when shunt malfunction is suspected
Choosing a design - influences
Based on interrelated concepts:
interpretivism and reflexivity balanced with pragmatism and transparency
Desire to:
Describe parents experiences
Apply analytical strategies systematically to accurately represent parents’ accounts
Distinguish researchers’ interpretations from parents’ descriptions
Be open to scrutiny to demonstrate transparency Acknowledging personal values and potential bias
Study design
Cross-sectional survey employing qualitative
methods
Semi-structured interviews with 25 parents
Did a generic approach enable study
aims to be achieved?
Data elicitation techniques generated rich data
Links between the original data and final themes
were transparent not driven by theoretical framework
Flexibility of framework approach and iterative
nature of analysis enable:
Parents experiences to be described in depth
Development of a conceptual framework that
explained the dynamic nature of living with a child with hydrocephalus
Findings: concepts and themes
Concepts ThemeUNCERTAINTY Reactions to the child’s diagnosis
Concerns about the shunt
Receptiveness of professionals to interacting
with the family
The child’s future DEVELOPING
EXPERTISE
Making sense of hydrocephalus and treatment Understanding support organisations
Differentiating between childhood illness and
shunt malfunction A NORMAL
LIFE
Barriers and facilitators to normal family life Valuing normal life
UNCERTAINTITY DEVELOPING EXPERTISE Learning through experience Adapting to changes in the child Making decisions
Conceptual framework:
living with a child
with hydrocephalus
LIVING A NORMAL LIFE
Conclusion
Choosing an appropriate qualitative research
designs can be challenging
Decisions must be based on the specific
purpose of the study
In clinically focussed research such as exploring
parents’ experiences, qualitative methods could stand alone rather than being theoretically
Application of framework approach across data
sets in a study that evaluated national
advanced communication skills training
programme
Professor Jane Coad,
Children and Family Nursing, Coventry University
Professor Faith Gibson
Clinical Professor of Children and Young People’s Cancer Care
Great Ormond Street Hospital for Children and London South Bank University
Dr Joanna Smith
Lecturer in Children and Young People’s Nursing, University of Salford
Professor David Pontin
Presentation aims
Outline the application of
framework approach
across data sets in a study that evaluated an
advanced communication skills training programme
Discuss the challenges in
applying the framework approach
Qualitative data analysis - 1
Choice depends on study aims but process
similar:
Transcribing interviews
Immersion in the data
Developing data coding system (categories)
Quantitative Analysis Qualitative Analysis Deductive Inductive Statistical Analysis Content Analysis Thematic Analysis Grounded Theory IPA DA
Qualitative data analysis - 2
Framework Approach
IPA (interpretive phenomenological analysis); DA (discourse analysis); CA (conversation analysis)
(Smith & Firth 2011)
Framework approach
Gaining popularity because useful to
interpret complex data
Approach is:
Systematic
Explicit
Interconnected stages
Framework approach- overview
Data
management
Become familiar with data
Identify initial categories / themes Develop a coding index
Assign data to categories
Con
tinu
um
Descriptive accounts
Synthesise range and diversity of coded data
Identify association between categories / themes until the ‘whole picture’ emerges
Develop more abstract concepts
Explanatory accounts
Develop associations/ patterns within concepts and themes
Reflect on original data/ analytical stages -accurately represent participant accounts Interpret concepts and themes
Application framework approach
-evaluation of the advanced
communication skills training
programme
Study aimed to identify whether the current
programme increased skills, knowledge,
competence and confidence of the participants when communicating with children, young
people and their families
Make recommendations in relation to the future
Design and methods
Evaluation based on appreciative inquiry
Forty-five health professionals, primarily
doctors and nurses, participated
Data included individual interviews, pre and
post course evaluations, e-mail survey, reflective work records
Framework approach was used to examine and
Framework approach - processes
Research team becoming familiar with the data
through a process of reading and re-reading participants’ narratives
Narratives from pre and post course
questionnaires and two interviews (one recipient and one facilitator) were used to generate initial codes and preliminary categories
Identifying preliminary categories
Description (in-vivo codes) Preliminary thoughts Preliminary categoriesData: Interview 3 (JS) Recipient
Wanted to improve talking to families, particularly breaking bad news to families
Being effective
Being effective when engaging with
families
Data: Interview 2 (JC) Facilitator
it’s a surprise how little people know or the way they communicate.
There’s a perception that more experience
means you will have improved
communication but it’s not the case
Perceptions about communicating effectively
Data: pre-course questionnaire
I want to ensure I am giving most effective
information/advice/ support using most
appropriate skills I have
Being effective
Being effective
when engaging with families
Example of coding index
Concept: Pre-course perceptions
Preliminary themes Preliminary categories
Knowledge and skills deficits
Discussing difficult topics
Ensuring interactions are focused Communicating with children Managing conflicts Parents and child conflicts
Inter-professional conflicts
Family and professionals conflicts Building confidence Responding to emotions
Handling difficult topics Handling difficult situations Constraints to developing communication skills Workload pressures Time pressures Desired outcomes of effective engagement
Being effective when engaging with families
Developing effective parent-professional collaboration Ensuring family compliance
Descriptive accounts
Labelled all interview data into categories in coding index but ongoing adaptation of coding index
Crucial element within analysis is critical thinking in relation to:
How participants’ descriptions are coded
Links between data sets
Links between codes and categories
Links between categories and themes
Reviewed data within each category Ongoing refinement of categories
Framework approach:
developing themes and categories
Iterative process
Synthesising and summarising data
Moving back and forth between initial themes and categories
Constant refinement
Key findings: themes and categories
Pre-course preparation, preconceptions and expectations Course delivery, teaching and learning strategies Post-course evaluation and ongoing development needs Accessing the course Perceptions about communicating effectively Expand knowledge and skills To develop personally and professionally Effectiveness of learning and teaching strategies The learning environment Evaluation of course structure Evaluation of course content Personal and professional development44
Using framework approach :
pros and cons
Pros
Systematic - particularly first stages
Flexible - iterative process
Stages grounded in the data Comparison across data sets Transparency can be demonstrated Cons Grappling with terminology (themes, categories, concepts used interchangeably) Managing the data
Conclusion
Data analysis in qualitative research is a
complex ‘messy’ affair - more complex when there is a range of data sets
Need to identify an approach to synthesising
and summarising the data that meets study aims
Team - Centre for Children and Families Applied Research (CCFAR)
Professor Jane Coad (Principal Investigator)
Reena Patel (Research Assistant); Wendy Higman (Research Assistant) Katie May (Project Assistant); Marion Lowe (Family Support Officer)
David Widdas (Nurse Consultant); Liz Herd (CCN); Joanne Holder (CCN) Rebecca Widdas (Health Practitioner)
Sean Graham (Technologist); Daisekh Ruparelia (Technologist); Prof. Lynn Clouder (CELE)
Application of thematic analysis across a national survey data set that evaluated an interactive
Presentation aims
To discuss the value of qualitative data collection and the usefulness of thematic analysis within survey data.
Using a Dept of Health funded project drawn from our CCFAR programme of work, this paper will explore ways of integrating thematic analysis with quantitative data
findings to enhance the evaluation of an interactive competency training programme
Background to project
Many carers are not adequately trained or competent in the care of Long Term Ventilated (LTV) children andyoung people (Briscoe et al, 2010)
Evaluation of the impact of an interactive competency training programme on the competence and confidence of professionals and families when caring for children who have long term ventilation needs
The ‘Breathing Matters’ project focuses on improving training for carers, parents and associated professionals supporting families caring for LTV children/young people living at homeWhat is the project?
• Identify Training Needs of Staff/Carers • Developed Interactive Competency Framework The Coventry and Warwickshire Trust • Understand Training Needs of Staff in 5 nationals areas and 30 carers across England • Evaluate Interactive Competency Framework CCFAR in Coventry University Pilot ICF Survey Carers Assess Confidence/ Competence Train Carers
How was it implemented?
Phase 1• E-survey Tool Development and Pilot
• Pre and Post training surveys developed in partnership with CELE
Phase 2
• Recruitment of staff carers • 5 nationwide sites
Phase 3
• Cascade training workshops hosted by Coventry University • Competency Training and survey undertaken
Phase 4
• Recruitment of parent and family member carers
• Family Support Officer and Clinical Researcher appointed
Phase 5
• Data Analysis and Evaluation
• Qualitative and Quantitative survey data retrieved
Data analysis framework
Theory of Change (TOC)
Quantitative data
Qualitative data
Data analysis challenge?
Quantitative Approaches
Used to measure levels of staff competency and confidence before and after training is undertaken
Qualitative Approaches
Used to explore lived experiences of staff and families caring for ventilated children
Mixed Method Approaches
How best to handle our data?
An analysis matrix was developed to ensure both quantitative and qualitative data was
systematically searched and categorised according to short and long term impacts
Decision around developing e-survey tools?
Survey questions were generated by mapping predicted outcomes from theory of change framework onto themed sub-scalesConclusion
Impact evaluation surveys are common but
ensuring integration of data from both
quantitative and qualitative data sets is essential in order to gain a rich understanding of
outcomes and key processes
We hope that the usefulness of our solutions to
using thematic analysis in the matrix may have resonance for other researchers faced with such challenges in their data analysis
Professor Julie Taylor
Dr Caroline Bradbury-Jones Dr Joanna Smith
Professor Jane Coad Reena Patel
'The art of decision-making: critical reflexivity
when undertaking qualitative data analysis’
Leadership
Ethics and governance
Data extraction issues
‘Messiness’
Time issues
Team skills
'The art of decision-making: critical reflexivity
when undertaking qualitative data analysis’