Research Methodology vs Research methods
The terms research method and research methodology are
often used interchangeably, but they refer to distinct concepts in
research. Here's a clear comparison to help differentiate them:
1. Research Method
Aspect |
Description |
Definition |
The techniques or procedures used to gather and analyze data
related to a research question or hypothesis. |
Focus |
“What” tools or techniques are used in the research. |
Examples |
Surveys, interviews, observations, experiments, case studies, content
analysis, etc. |
Nature |
Practical and procedural – refers to actions or steps
taken during the study. |
Purpose |
To collect data or evidence to address the research problem. |
2. Research Methodology
Aspect |
Description |
Definition |
The philosophical framework and justification behind the
choice and use of research methods. It explains the “why and how”
behind the methods. |
Focus |
“Why” certain methods are chosen and how they fit within the research
paradigm (e.g., positivist, interpretivist). |
Includes |
Research design, sampling strategy, data collection techniques,
ethical considerations, validity, reliability, etc. |
Nature |
Theoretical and conceptual – provides the rationale for using
particular methods. |
Purpose |
To ensure that the research is scientifically sound,
well-justified, and aligned with research objectives. |
Key Differences at a Glance
Criteria |
Research Method |
Research Methodology |
Meaning |
Tools and techniques used in research |
Philosophy and rationale behind using those tools |
Deals with |
Implementation of tools |
Justification and logic of tools |
Scope |
Narrow and specific |
Broader and theoretical |
Examples |
Interviews, experiments, observations |
Qualitative vs. quantitative approach, epistemology, research design |
Summary
- Research
methods are the means used to collect and analyze data.
- Research
methodology is the approach and reasoning behind using those methods.
In short:
Methods = What you do
Methodology = Why you do it that way
Here's a comparison of research method vs research methodology in the context of finance, along with a flowchart-style example to make it more relatable for finance students or researchers:
Research Method vs Research Methodology (Finance Context)
Aspect |
Research Method |
Research Methodology |
Definition |
Specific tools and techniques used to collect and
analyze financial data. |
The theoretical framework and rationale that guide
the selection and application of methods. |
Focus |
Practical procedures: What is done? |
Philosophical approach: Why it is done that way? |
Examples in Finance |
- Ratio analysis- Regression analysis- CAPM model
testing- Event study analysis- Time series forecasting |
- Justification for using quantitative vs
qualitative approach- Choice of positivist paradigm in empirical finance-
Decision to use secondary data for cost-effectiveness- Explanation for using
panel data methods to study stock returns |
Nature |
Applied, data-focused |
Theoretical, logic-focused |
Purpose |
To execute the
research (e.g., to test the relationship between ROE and stock price) |
To design and justify
the research approach and ensure it aligns with research questions and
objectives |
Flowchart Example (Finance Study)
Research Topic:
"Impact of Corporate Governance on Firm Performance in Indian Listed Companies"
Step 1: Research Methodology (The Why and How)
· Research Philosophy: Positivism (assumes objective financial data reflects reality)
· Research Approach: Deductive (testing existing theories like agency theory)
· Research Strategy: Quantitative (using numerical data from financial reports)
· Data Type: Secondary (NSE/BSE listed companies' annual reports)
· Time Frame: 2016–2023 (panel data)
· Justification: Empirical studies in finance often rely on quantitative secondary data due to availability and objectivity.
Step 2: Research Methods (The What)
· Data Collection: Extract board size, CEO duality, independent directors, ROA, ROE from company filings
· Analytical Tools:
o Descriptive statistics (mean, SD)
o Correlation matrix
o Regression analysis (panel data using fixed/random effects)
o Hypothesis testing (e.g., t-test for coefficient significance)
· Software: SPSS, STATA, or Excel
· Interpretation: Analyze whether stronger governance leads to better performance
Final Takeaway
In finance, your methodology explains the rationale and research design, while your methods are the tools and techniques you apply to analyze financial data.
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