Section 2.4

Steps of Research

Research is a systematic process. While qualitative research may be iterative and flexible, quantitative scientific research strictly follows a sequential, logical series of steps to ensure validity and reliability (Kothari, 2004). The NTA frequently tests candidates on the exact chronological order of these steps.

The Standard 6-Step Research Process

1. Formulate Problem 2. Hypothesis 3. Research Design 4. Collect Data 5. Analyze Data 6. Interpretation/Report
Fig 3. The 6-Step Quantitative Research Process

Step 1: Formulating the Research Problem

This is the most crucial step. A problem well-defined is a problem half-solved. It involves identifying a broad area of interest, narrowing it down to a specific issue, and stating it clearly.

  • Review of Literature: Before finalizing the problem, the researcher must conduct an extensive review of existing literature to identify gaps in knowledge and ensure the study hasn't already been done.
  • Setting Objectives: Clearly defining the primary and secondary objectives of the study.

Step 2: Formulating the Hypothesis

A hypothesis is a tentative assumption or an educated guess made in order to draw out and test its logical or empirical consequences (Kerlinger, 1986).

  • Null Hypothesis (H0): States that there is no relationship or significant difference between variables. Researchers generally try to reject the null hypothesis.
  • Alternative Hypothesis (H1): States that there is a relationship or difference.

Step 3: Developing the Research Design

The research design is the conceptual blueprint within which research is conducted. It constitutes the blueprint for the collection, measurement, and analysis of data.

  • Determines the methodology (Experimental, Descriptive, etc.).
  • Defines the Sample Design: Identifying the target population and selecting a sampling method (Probability vs. Non-Probability).
  • Probability Sampling: Random, Stratified, Cluster, Systematic.
  • Non-Probability Sampling: Purposive, Snowball, Quota, Convenience.

💡 Exam Tip

Snowball sampling is a non-probability technique often asked about. It relies on initial subjects nominating other subjects. It's used for hidden or hard-to-reach populations (e.g., drug addicts).

Step 4: Collecting the Data

Execution of the research design. The researcher gathers information using specific instruments.

  • Primary Data: Data collected fresh and for the first time directly by the researcher (e.g., Questionnaires, Interviews, Observations).
  • Secondary Data: Data that has already been collected and analyzed by someone else (e.g., Census data, journal articles, historical records).

Step 5: Analyzing the Data

Raw data is meaningless until it is processed and analyzed. This step involves:

  • Editing & Coding: Cleaning the data and assigning numbers/symbols to responses for categorization.
  • Statistical Analysis: Applying descriptive statistics (mean, median, standard deviation) and inferential statistics (t-test, ANOVA, Chi-square).
  • Hypothesis Testing: Using statistical tests to determine whether to accept or reject the Null Hypothesis (H0).

Step 6: Interpretation and Report Writing

The final step involves drawing conclusions based on the data analysis and presenting the findings in a structured academic report or thesis.

  • Discussing the implications of the findings.
  • Stating the limitations of the study.
  • Formatting the report according to specific academic styles (e.g., APA, MLA).

📜 Key Takeaways: The Exact Sequence

Always remember this chronological order for the exam:

  1. Formulating the Problem (and Literature Review)
  2. Formulating the Hypothesis
  3. Developing the Research Design (and Sample Design)
  4. Data Collection
  5. Data Analysis (and Hypothesis Testing)
  6. Interpretation and Generalization (Report Writing)

References

  • Kerlinger, F. N. (1986). Foundations of behavioral research (3rd ed.). Holt, Rinehart and Winston.
  • Kothari, C. R. (2004). Research methodology: Methods and techniques (2nd ed.). New Age International.