A sample methodology for Master’s thesis

Chapter 3: Methodology        

3.1 Introduction

This third chapter outlines the research methodology. It details the research design, philosophical approach, participant selection, data collection, and analysis procedures. The study employs a qualitative case study design to investigate how university support systems at the University of Sunderland, London, enhance students’ mental health and academic success.

3.2 Research Philosophy

The study adopts an interpretivist philosophy, which prioritizes subjective experiences and meanings. This approach therefore aligns with the research aim of understanding students’ perceptions of support services because, according to Lincoln and Guba (1985), interpretivism acknowledges the complexity of human behaviour and institutional interactions.

3.3 Research Design

The author employed a qualitative case study design to provide in-depth, contextualized analysis of one institution (the University of Sunderland, London). This design is ideal for answering questions (“how” and “why”) about student and staff experiences that quantitative methods might disregard.

3.4 Participants and Sampling Strategy

The author used purposive sampling to recruit twenty survey participants.

Fifteen students were stratified to ensure diversity across:

1. Academic levels (undergraduate/postgraduate).
   1. Demographics (international/home students, gender, age).
   1. Engagement with support services (users/non-users).

Five staff members at the University of Sunderland in London comprising academic advisors, counsellors, and support officers were also recruited to provide experience-based data on the research topic.

This stratification ensures representation of varied perspectives, which is crucial to addressing gaps in service awareness and accessibility (Harris & Montgomery, 2024).

The participant recruitment process involves:

1. Emails and posters: The author invited participation via the university portal.
2. Snowball sampling: The author encouraged participants to refer peers.

Inclusion criteria for participating in the study:

1. Students must have been enrolled for at least one academic year.
   1. Staff must have worked in support roles for ≥ 6 months.

3.5 Data Collection Methods

The author collected primary data through semi-structured interviews granted either in person or via secure online platforms such as Microsoft Teams. Duration of each interview guided by a flexible schedule was between 10 – 15 minutes.

Key topics discussed with research participants included:

1. Awareness and accessibility of university support services.
2. Students’ mental health experiences and coping strategies.
3. Perceived effectiveness of counselling, academic mentoring, and wellbeing initiatives.
4. Impact of support services on academic performance.

Use of the semi-structured interview format allowed both consistency in topics and flexibility in participants’ responses thereby increasing access to deeper insights on the research topic.

Interview Questions & Justification:

Question	Justification	Theoretical Link
1. “Which university support services are you aware of, and how did you learn about them?”	Assesses awareness and accessibility—key mediators of engagement (Brown & Ellis, 2023).	Tinto’s Retention Theory (social integration).
2. “Describe your experience using [specific service]. How did it impact your mental health or academic performance?”	Evaluates perceived effectiveness and emotional outcomes.	Bronfenbrenner’s Microsystem (direct interactions).
3. “What barriers prevented you from seeking support?”	Identifies institutional/cultural gaps (e.g., stigma, wait times).	Macrosystem (cultural norms).
4. “How could the university improve its support systems?”	Gathers actionable insights for policy redesign.	Kolb’s Active Experimentation.

Pilot Testing: Questions were refined after a pilot with two students to ensure clarity.

3.6 Data Analysis

In accordance with Braun and Clarke’s (2006) six-step process (which involves familiarization with data, generation of initial codes, search for themes, review of themes, defining and naming themes, and report writing), the author analysed data using thematic analysis. Transcribed interviews were imported into NVivo software for coding and organization Key themes that emerged in the process include:

1. Awareness and accessibility of support services.
2. Barriers to engagement (such as stigma or time constraints).
3. Emotional and academic impacts of counselling and mentoring.
4. Recommendations for service improvement from both students and staff at the University of Sunderland, London campus.

This approach to data analysis allowed identification of patterns and relationships across participant narratives, thus, supporting a more structured interpretation of data.

Thematic Analysis (Braun & Clarke, 2006)

1. Transcription: The author transcribed interviews verbatim.
2. Coding: The author used NVivo software to code data inductively.
3. Theme Development: The author grouped codes into themes (such as “stigma” and “service gaps”).

Example:

• Code: “Long wait times for counselling.”
• Theme: “Barriers to accessibility.”

Integration with theoretical frameworks as depicted in Section 3.5:

• Tinto’s Theory: Themes like “sense of belonging” mapped to “social integration.”
• Bronfenbrenner’s Model: “Family pressures” coded under “exosystem.”

3.7 Use of Kolb’s Experiential Learning Cycle

To guide reflection and interpretation of students’ narratives, the author applied Kolb’s Experiential Learning Model, each phase in the framework—Concrete Experience, Reflective Observation, Abstract Conceptualization, and Active Experimentation—providing basis for understanding how students internalize and act upon their interactions with university support systems.

Example:

1. Concrete Experience involved students describing specific challenges or instances of using support services at the University of Sunderland in London.
2. Reflective Observation captured emotional and cognitive responses to those experiences from university support systems.
3. Abstract Conceptualization linked these reflections or narratives to broader understandings of institutional effectiveness in delivering support services.
4. Active Experimentation reflected on students’ and staff members’ suggestions for improvements.

3.8 Ethical Considerations

The author sought ethical approval from the University of Sunderland’s Research Ethics Committee. Ethical principles observed during the study include the following:

1. Informed Consent: All participants received detailed information sheets and signed consent forms.
2. Confidentiality: Pseudonyms (e.g., Student 1) were used to replace identifiers.
3. Voluntary Participation: Participants were informed of their right to withdraw at any stage of the research without penalty.
4. Data Protection: Data were stored securely and used in compliance with GDPR regulations.

3.9 Limitations of the Methodology

While the qualitative case study method offers depth and richness, it also presents specific limitations relating to:

• Limited Sample Size: Though the sample size comprises of diverse individuals, the participant pool does not capture all personal experiences within the university population.
• Generalizability: Findings may not be applicable to other universities or regions due to the context-specific nature of the case study.
• Subjectivity: Interpretivist approaches rely on researcher interpretation, which may introduce bias and other human errors despite efforts at objective analysis

The author acknowledged and considered these limitations in the interpretation of results.

3.10 Summary

This third chapter outlined the methodological framework guiding the study on how university support systems enhance students’ mental health and academic success. Use of a qualitative method and an interpretivist case study enabled in-depth exploration of the effectiveness of interventions at the University of Sunderland, London. Through semi-structured interviews, thematic analysis, and Kolb’s learning cycle, the author aims to offer meaningful insights into the individualized and contextualized experiences of students and staff at the university.