Sample Answer
Methodology Report
Introduction
In any research project, the selection and justification of appropriate methodologies are crucial for achieving valid, reliable, and insightful results. According to Saunders et al. (2019), research methodology encompasses the systematic process by which data is collected, analysed, and interpreted to answer research questions or test hypotheses. This report outlines the chosen methodological approach under three key subheadings: qualitative research, quantitative research, and ethical considerations. The rationale for the selected methods is grounded in the "research onion" framework introduced by Saunders et al., which encourages researchers to make structured methodological choices aligned with their research objectives.
Qualitative Research
Qualitative research involves the exploration of phenomena through non-numerical data, focusing on understanding meanings, experiences, and perspectives (Saunders et al., 2019). It is often used to explore complex issues, particularly those involving human behaviour, organisational culture, or consumer attitudes. For this research, qualitative methods are appropriate for gaining in-depth insights into participants’ experiences and viewpoints, especially when the research aims to explore "how" and "why" questions.
Data Collection
For qualitative data collection, semi-structured interviews will be used. This method allows the researcher to prepare a set of open-ended questions while providing the flexibility to probe further based on participants’ responses. Semi-structured interviews are suitable because they strike a balance between consistency across participants and the ability to explore unanticipated themes (Saunders et al., 2019).
A purposive sampling technique will be employed to select participants who have relevant knowledge or experience related to the research topic. This ensures that the data collected is rich and contextually appropriate. The anticipated sample size for qualitative interviews is between 10 and 15 participants, which is sufficient for reaching data saturation without being unmanageable (Guest, Bunce & Johnson, 2006).
Data Analysis
Thematic analysis will be used to analyse qualitative data. This involves identifying, analysing, and reporting patterns (themes) within the data. Braun and Clarke’s (2006) six-step process for thematic analysis, familiarisation, coding, theme development, reviewing themes, defining themes, and writing up, will be followed to ensure a systematic and rigorous approach.
Quantitative Research
Quantitative research focuses on numerical data and statistical analysis to test hypotheses or identify patterns (Saunders et al., 2019). It is appropriate when the research aims to measure variables, determine relationships between them, or generalise findings to a broader population. In this research, a quantitative approach complements qualitative findings by providing measurable evidence to support conclusions.
Data Collection
A structured questionnaire will be used to collect quantitative data. The questionnaire will include closed-ended questions, mainly using Likert scales to measure attitudes or perceptions, along with demographic questions to categorise responses. This method is chosen for its efficiency in gathering large amounts of data and ease of standardisation.
The sampling strategy for the survey will be stratified random sampling to ensure representation across key demographic groups (e.g., age, gender, role in organisation). A minimum of 100 valid responses is targeted to enable reliable statistical analysis, in line with sample size recommendations for social research (Bryman & Bell, 2015).
