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What might be some of the advantages and disadvantages of using a priori codes in template analysis?
(10 marks)
+ Links to previous research
+ Gives us direction
+ Other researchers can analyse your data using the same codes
+ Builds of existing theories/findings
+ Flexible - can be refined/adjusted/removed as data analysis continues
+ Makes data analysis less time consuming
+ Allows the researcher to ensure they capture important theoretical concepts, crucial to the research aims
Deciding on the priori codes can be challenging
Loss of holistic understanding in relation to individual accounts
Can lead to a very simple template
Can lead to a very flat, descriptive account of the data
A priori codes may not be useful
What might be some of the challenges of working as part of a team using template analysis to analyse a particular data set?
Time-consuming
Differences in opinions regarding the original themes
Power imbalances
Establishing effective communication
Conflict between relevant a priori themes
Differences of opinion with hierarchy of themes
Personal conflict
Different levels of experience and skill
How do you know when to stop developing your template any further when you are using template analysis?
When the hierarchy of codes is complete - no new codes are emerging from the dataset
When the dataset addresses the research aims and can provide an answer to the research question
When you have ensured all of the dataset is coded and relevant information is included in the template
When the hierarchy is becoming unmanageable
What is an advantage/disadvantage of using template analysis on a large qualitative dataset?
Advantages
Provides a clear, hierarchical coding structure, making large datasets easier to manage.
Allows for consistency across multiple researchers, improving reliability in team-based analysis.
Is flexible: the template can be revised as new themes emerge.
Helps researchers compare themes across many participants efficiently.
Saves time compared to fully inductive methods when handling large volumes of data.
Suitable for datasets collected across multiple sites or time points.
Disadvantages
Early templates may bias the analysis, shaping how later data are interpreted.
Risk of over-simplifying complex or rich qualitative data.
Can reduce sensitivity to unexpected or minority perspectives.
Requires careful reflexivity to avoid forcing data into existing categories.
Developing and refining the template can still be time-consuming with very large datasets.
Less appropriate when the research aim is highly exploratory or theory-generating.
Explain how themes are identified in qualitative analysis.
In your answer, critically discuss at least four different strategies for identifying themes
(10 marks)
Clear definition of themes as patterned meanings
Discussion of strategies such as:
Word repetition
Repeated behaviours (e.g. avoidance)
Indigenous categories
Key words linked to research questions
Missing or silenced information
Metaphors and analogies
Deviations from dominant patterns
Explanation of how each strategy contributes to theme development
Critical evaluation of limitations:
Risk of superficial analysis
Over-reliance on frequency
Subjectivity in interpretation
Importance of linking themes back to research aims
Emphasis on reflexive and iterative analysis
Compare inductive and deductive approaches to thematic development.
Discuss how each approach influences the analysis process, theory building, and research outcomes.
(10 marks)
Definitions of inductive and deductive thematic analysis
Comparison of:
Direction of analysis (top-down vs bottom-up)
Relationship to theory
Advantages of deductive approaches:
Efficiency
Comparability with prior research
Limitations of deductive approaches:
Risk of overlooking unexpected findings
Advantages of inductive approaches:
Data-driven insights
Richer participant perspectives
Limitations of inductive approaches:
Time-consuming
Risk of lack of focus
Discussion of combined approaches
Critical reflection on methodological fit
Critically evaluate Thematic Analysis as a qualitative analytic method.
(10 marks)
Definition of Thematic Analysis
Explanation of its flexibility and pragmatic nature
Discussion of:
Lack of fixed theoretical framework
“Poorly branded method” critique
Strengths:
Accessibility
Applicability across disciplines
Ability to capture meanings and experiences
Limitations:
Risk of superficial analysis
Need for transparency and rigour
Importance of clarity in analytic process
Comparison with more theoretically bounded approaches (e.g. IPA, Grounded Theory)
Content analysis is often criticised for being reductionist and lacking explanatory power.
Critically discuss this critique.
(10 marks)
Definition of content analysis
Explanation of how qualitative data is transformed into quantitative data
Strengths:
Systematic
Transparent
Useful for large datasets
Explanation of reductionism:
Loss of context
Focus on frequency over meaning
Critique of descriptive rather than explanatory nature
Examples where content analysis may still be appropriate
Ethical and practical advantages (unobtrusive, existing data)
Balanced evaluation rather than one-sided critique
Discuss the key features of Template Analysis, focusing on a priori themes and hierarchical coding.
Evaluate its balance between structure and flexibility
Definition of Template Analysis
Explanation of:
Coding templates
Hierarchical organisation (higher- and lower-order themes)
Role of a priori themes:
Guidance
Tentative nature
Flexibility of template modification:
Insertion
Deletion
Changing scope
Strengths:
Organising large datasets
Time efficiency
Limitations:
Risk of overly simple or complex templates
Evaluation of epistemological flexibility - can be used within different assumptions about knowledge and reality
Critical assessment of methodological fit
Using Template Analysis with large qualitative datasets can be both advantageous and problematic.
Critically discuss this statement.
Advantages:
Structured approach
Hierarchical organisation
Use of a priori themes
Problems:
Over-complex templates
Loss of nuance
Management difficulties
Balanced conclusion
Outline the stages involved in Template Analysis.
Critically discuss how researchers decide when a template is “good enough”.
Clear outline of stages:
Define a priori themes
Data collection
Familiarisation
Initial coding
Template development
Refinement
Interpretation and write-up
Explanation of iterative refinement
Criteria for stopping:
No new themes emerging
Research aims addressed
Manageable hierarchy
Recognition of judgement-based decision-making
Critical discussion of saturation vs practicality
Discuss the methodological and practical challenges of conducting qualitative analysis as part of a research team, with reference to Template Analysis.
Explanation of team-based qualitative analysis
Challenges:
Disagreements over a priori themes
Power imbalances
Differences in experience
Hierarchy disputes
Time and communication demands
Strategies to manage challenges:
Clear roles
Regular meetings
Reflexivity
Benefits of team analysis:
Multiple perspectives
Increased credibility
Balanced evaluation