43  Research: Concept and Designs

43.1 Meaning of Research

Research is the systematic investigation undertaken to discover new facts or to verify and test old facts. C.R. Kothari’s definition is widely cited: research is “an art of scientific investigation … a careful investigation or inquiry, especially through the search for new facts in any branch of knowledge” (kothari2019?). P.M. Cook called it “an honest, exhaustive, intelligent searching for facts and their meanings”.

Three working ideas anchor the field:

  • Research is systematic — it follows a planned procedure.
  • It is objective — guided by evidence, not opinion.
  • It is purposive — directed at a specific question.

43.2 Objectives of Research

TipFour Classical Objectives of Research
Objective Working content Type of research
Exploration Gain familiarity with a phenomenon Exploratory / formulative
Description Portray accurately characteristics of a population Descriptive
Diagnosis Determine frequency or association Diagnostic
Hypothesis-testing Test causal relationships Causal / experimental

43.3 Types of Research

TipMajor Classifications of Research
Basis Categories
Application Pure / fundamental vs Applied / action
Objective Exploratory, Descriptive, Diagnostic, Experimental
Inquiry mode Quantitative vs Qualitative
Concept of research Conceptual vs Empirical
Time Cross-sectional vs Longitudinal
Methodology Historical, Survey, Case-study, Experimental, Analytical
Reasoning Inductive vs Deductive

43.4 The Research Process

Kothari’s eleven-step research process (kothari2019?):

flowchart TB
  P[1. Problem<br/>formulation] --> L[2. Literature<br/>review]
  L --> H[3. Hypothesis<br/>formulation]
  H --> D[4. Research design]
  D --> S[5. Sample design]
  S --> C[6. Data collection]
  C --> A[7. Data analysis]
  A --> T[8. Hypothesis testing]
  T --> G[9. Generalisation and<br/>interpretation]
  G --> R[10. Report writing]
  R --> F[11. Feedback and<br/>follow-up]
  style P fill:#FFEBEE,stroke:#C62828
  style F fill:#E8F5E9,stroke:#2E7D32

43.5 Research Problem

A research problem is a clearly stated question or issue requiring investigation. Selker and Phillips identify five common sources: theory and literature, replication of past studies, personal experience, real-world problems, and consultation with experts.

A good research problem must be: clear, researchable, significant, ethical, and feasible (within the researcher’s time, skill and resources).

43.6 Hypothesis

A hypothesis is a tentative statement about the relationship between variables that the research is designed to test.

TipTwo Hypotheses Tested in Statistics
Hypothesis Statement Symbol
Null hypothesis No effect, no difference \(H_0\)
Alternative hypothesis There is an effect, a difference \(H_1\) or \(H_a\)

A good hypothesis is clear, specific, testable, related to existing theory, free from value judgements.

43.7 Research Design — Meaning

A research design is the blueprint of the research project. It specifies the what, where, when, how of the inquiry — the framework within which data are collected and analysed.

TipFive Components of a Research Design
Component Content
Sampling design Population, sample size, selection method
Observational design Conditions of observation
Statistical design Number of observations, analysis plan
Operational design Step-by-step procedures
Time design Cross-sectional vs longitudinal

43.8 Types of Research Design

TipFour Types of Research Design
Design Purpose Method
Exploratory Develop hypotheses; gain familiarity Literature survey, expert opinion, focus groups
Descriptive Describe characteristics; “what is” Survey, observation, case study
Diagnostic Determine frequency or association Cross-sectional surveys
Experimental Test causal hypotheses; “what causes what” Controlled experiments with treatment and control

43.9 Experimental Designs

Experimental research designs vary in their control over extraneous variables.

TipMajor Experimental Designs
Design Working content
Pre-experimental One-group pre-test post-test; weakest control
True experimental Random assignment; treatment and control
Quasi-experimental No random assignment; matched groups
Factorial design Multiple independent variables and their interactions
Completely Randomised Design (CRD) Treatments randomly assigned
Randomised Block Design (RBD) Treatments randomised within blocks
Latin Square Design (LSD) Controls for two sources of variation

R.A. Fisher’s Design of Experiments (1935) gave the field its modern foundation, introducing randomisation, replication, and local control as the three principles of valid experimentation.

43.10 Qualitative vs Quantitative Research

TipQuantitative vs Qualitative Research
Dimension Quantitative Qualitative
Goal Measure, test, predict Understand, interpret
Data Numerical Words, images, observations
Logic Deductive Inductive
Approach Hypothesis-testing Theory-building
Tools Statistics, surveys, experiments Interviews, focus groups, ethnography
Sample Larger, randomised Smaller, purposive
Analysis Statistical Thematic / content / narrative

43.11 Significance of Research

  • Inculcates scientific thinking and discipline.
  • Generates new knowledge and theory.
  • Guides policy and managerial decisions.
  • Solves real-world problems — operations, marketing, social.
  • Promotes innovation and economic development.

43.12 Exam-Pattern MCQs

NoteEight-question set

Q1. Which of the following is not one of Fisher’s three principles of experimental design?

A. Randomisation B. Replication C. Local control D. Subjective interpretation

Answer: D. Fisher’s principles are Randomisation, Replication, Local Control (the RRL).


Q2. Match each research-design type with its purpose:

Type Purpose
(i) Exploratory (a) Test causal hypothesis
(ii) Descriptive (b) Develop initial hypotheses
(iii) Experimental (c) Determine frequency or association
(iv) Diagnostic (d) Describe characteristics of a population

A. (i)-(b), (ii)-(d), (iii)-(a), (iv)-(c) B. (i)-(a), (ii)-(b), (iii)-(c), (iv)-(d) C. (i)-(c), (ii)-(a), (iii)-(b), (iv)-(d) D. (i)-(d), (ii)-(c), (iii)-(b), (iv)-(a)

Answer: A.


Q3. A good research problem must be:

A. Vague to allow flexibility B. Researchable, significant, and feasible C. Restricted to topics with a single right answer D. Always quantitative

Answer: B. Selker-Phillips and Kothari list clear, researchable, significant, ethical, feasible as criteria.


Q4. Match the experimental design with its content:

Design Content
(i) Completely Randomised Design (a) Two sources of variation controlled
(ii) Randomised Block Design (b) Treatments randomised within blocks
(iii) Latin Square Design (c) Treatments randomly assigned to all units
(iv) Factorial Design (d) Multiple independent variables and their interactions

A. (i)-(c), (ii)-(b), (iii)-(a), (iv)-(d) B. (i)-(a), (ii)-(b), (iii)-(c), (iv)-(d) C. (i)-(b), (ii)-(c), (iii)-(d), (iv)-(a) D. (i)-(d), (ii)-(a), (iii)-(b), (iv)-(c)

Answer: A.


Q5. Which of the following is qualitative research?

A. Survey of 1,000 consumers’ purchase frequency B. In-depth interviews exploring consumer motivations C. Linear regression of sales on advertising spend D. Hypothesis test on mean income difference

Answer: B. In-depth interviews collect non-numerical, narrative data — qualitative.


Q6. Match each pair of opposing concepts:

Concept Opposite
(i) Pure research (a) Longitudinal
(ii) Cross-sectional (b) Applied research
(iii) Inductive (c) Quantitative
(iv) Qualitative (d) Deductive

A. (i)-(b), (ii)-(a), (iii)-(d), (iv)-(c) B. (i)-(a), (ii)-(b), (iii)-(c), (iv)-(d) C. (i)-(c), (ii)-(d), (iii)-(b), (iv)-(a) D. (i)-(d), (ii)-(c), (iii)-(a), (iv)-(b)

Answer: A.


Q7. Arrange the following steps of the research process in correct order:

  1. Hypothesis formulation
  2. Problem formulation
  3. Data collection
  4. Literature review

A. (ii), (iv), (i), (iii) B. (i), (ii), (iii), (iv) C. (iii), (iv), (i), (ii) D. (iv), (iii), (ii), (i)

Answer: A. Problem → Literature → Hypothesis → Data collection.


Q8. Match each definition with its proponent:

Definition Proponent
(i) “Art of scientific investigation” (a) R.A. Fisher
(ii) “Honest, exhaustive, intelligent searching for facts” (b) C.R. Kothari
(iii) Three principles of experimental design — randomisation, replication, local control (c) P.M. Cook

A. (i)-(b), (ii)-(c), (iii)-(a) B. (i)-(a), (ii)-(b), (iii)-(c) C. (i)-(c), (ii)-(a), (iii)-(b) D. (i)-(c), (ii)-(b), (iii)-(a)

Answer: A.

ImportantQuick recall
  • Research = systematic, objective, purposive inquiry.
  • Four objectives: exploration, description, diagnosis, hypothesis-testing.
  • Four design types: exploratory, descriptive, diagnostic, experimental.
  • 11-step process: Problem → Literature → Hypothesis → Design → Sample → Data → Analysis → Test → Generalise → Report → Feedback.
  • Hypothesis = tentative testable statement; null \(H_0\) and alternative \(H_1\).
  • Fisher’s three principles of experimental design: Randomisation, Replication, Local Control.
  • Experimental designs: CRD, RBD, LSD, Factorial; pre / true / quasi-experimental.
  • Qualitative: words, inductive, theory-building. Quantitative: numbers, deductive, hypothesis-testing.
  • Pure (basic) vs Applied; Conceptual vs Empirical; Cross-sectional vs Longitudinal.