Research skills A - SAQs

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12 Terms

1
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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

2
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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

3
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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

4
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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.

5
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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

6
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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

7
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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)

8
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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

9
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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

10
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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

11
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Outline the stages involved in Template Analysis.
Critically discuss how researchers decide when a template is “good enough”.

  • Clear outline of stages:

    1. Define a priori themes

    2. Data collection

    3. Familiarisation

    4. Initial coding

    5. Template development

    6. Refinement

    7. 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

12
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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