7  Research: Meaning, Types and Characteristics

7.1 Meaning of Research

Research is the systematic, objective and reproducible inquiry into a question, with the aim of discovering, interpreting or revising facts, theories or applications.

The word research derives from Old French recerche — “to seek again”. The Sanskrit equivalent is Anveshana or Gaveshana (a deliberate search).

TipWorking Definitions of Research
Author Definition What it foregrounds
Clifford Woody “Research comprises defining and redefining problems, formulating hypotheses, collecting, organizing and evaluating data, making deductions and reaching conclusions” Process — sequence of steps
John W. Best “Research is more systematic activity directed towards discovery and the development of an organised body of knowledge” Knowledge organisation
Kerlinger “Systematic, controlled, empirical and critical investigation of natural phenomena guided by theory and hypothesis” Theory-driven, empirical
Redman & Mory “Systematized effort to gain new knowledge” Newness of knowledge
C.R. Kothari “A scientific and systematic search for pertinent information on a specific topic” Specificity and pertinence

7.2 Characteristics of Research

TipEight Characteristics of Good Research
Characteristic What it requires
Systematic Follows a defined sequence of steps
Logical Conclusions follow from premises and evidence
Empirical Based on observation, experiment, or measurable data
Replicable Can be repeated by another researcher with same result
Objective Free from researcher bias; verifiable
Cyclical Each finding raises the next question
Original Adds something new — concept, evidence or method
Generalisable Findings apply beyond the immediate sample where possible

7.3 Objectives of Research

A useful framework groups research objectives into four categories.

TipFour Objectives of Research
Objective Working purpose Type of study
Exploratory Gain familiarity with a phenomenon; achieve new insights Pilot, formulative
Descriptive Portray characteristics of a group or situation accurately Survey, fact-finding
Diagnostic Determine the frequency or association of variables Diagnostic
Hypothesis-testing Test causal relationships between variables Experimental, analytical

7.4 Types of Research

Research is classified along four independent dimensions.

7.4.1 By Purpose / Goal

TipPure / Basic vs Applied vs Action Research
Type Purpose Example
Pure / Basic / Fundamental Develop theory; advance knowledge for its own sake Studying the nature of subatomic particles
Applied Solve a specific practical problem Designing a vaccine for a disease
Action Improve practice in a specific local setting through cycles of plan-act-observe-reflect Teacher refining classroom strategy with own students

7.4.2 By Approach

TipQuantitative vs Qualitative
Type Data Methods When
Quantitative Numerical Experiment, survey, statistical analysis “How many?”, “How much?”, “Is there a relationship?”
Qualitative Textual, observational Interview, ethnography, case study, grounded theory “Why?”, “How?”, “What does it mean?”
Mixed methods Both Triangulation; explanatory or exploratory sequential designs When neither alone answers the question

7.4.3 By Nature of Data

TipEmpirical vs Conceptual vs Historical
Type What it does Example
Empirical Tests claims through observation and experiment A clinical trial of a new drug
Conceptual Develops or analyses concepts and theories A philosophical analysis of justice
Historical Reconstructs past events from primary and secondary sources Studying education in ancient India

7.4.4 By Time Dimension

TipCross-Sectional vs Longitudinal
Type Time Strength
Cross-sectional Data collected at one point in time Quick snapshot; cheaper
Longitudinal Data collected over time from the same subjects Tracks change; supports causal claims

flowchart TB
  R[Research] --> P[By Purpose]
  R --> A[By Approach]
  R --> N[By Nature of Data]
  R --> T[By Time]
  P --> P1[Pure / Basic]
  P --> P2[Applied]
  P --> P3[Action]
  A --> A1[Quantitative]
  A --> A2[Qualitative]
  A --> A3[Mixed methods]
  N --> N1[Empirical]
  N --> N2[Conceptual]
  N --> N3[Historical]
  T --> T1[Cross-sectional]
  T --> T2[Longitudinal]
    classDef default fill:#003366,color:#ffffff,stroke:#ffcc00,stroke-width:3px,rx:10px,ry:10px;

7.5 Positivism and Post-Positivism

The official syllabus names two philosophical positions — positivism and post-positivism — that shape how researchers think about knowledge.

TipPositivism vs Post-Positivism
Dimension Positivism Post-Positivism
Founder / advocate Auguste Comte (19th c.) Karl Popper, Thomas Kuhn (20th c.)
Reality Single, observable, measurable Reality exists, but observation is theory-laden and fallible
Researcher’s role Detached, objective observer Acknowledges own influence and bias
Methods Quantitative, experimental, hypothesis-testing Mixed methods; falsification, refinement
View of theory Theories are verified by evidence Theories are tentatively held; cannot be proven, only falsified
Truth claim Universal laws Probable, contextual, revisable

flowchart LR
  P[Positivism<br/>Comte<br/>Single objective reality<br/>Verification] --> PP[Post-Positivism<br/>Popper, Kuhn<br/>Fallible observation<br/>Falsification]
  PP --> C[Constructivism /<br/>Interpretivism<br/>Multiple realities<br/>Meaning-making]
  C --> PR[Pragmatism<br/>What works<br/>Mixed methods]
    classDef default fill:#003366,color:#ffffff,stroke:#ffcc00,stroke-width:3px,rx:10px,ry:10px;

The candidate should also recognise constructivism / interpretivism (which sees knowledge as socially constructed) and pragmatism (which judges knowledge by what works in practice). These four are often presented together as research paradigms.

7.6 Variables in Research

A variable is any characteristic that can take different values across cases or time.

TipCommon Variable Roles
Type Role Example
Independent variable Cause; the one the researcher manipulates Method of teaching
Dependent variable Effect; the outcome measured Student achievement score
Intervening / Mediating Carries the effect from cause to outcome Student motivation
Moderating Changes the strength of the relationship Class size
Extraneous / Confounding Affects the outcome but is not part of the design Time of day, prior knowledge
Control variable An extraneous variable held constant by design Same room, same time

7.7 Hypothesis

A hypothesis is a tentative, testable, declarative statement about the relationship between two or more variables.

TipTypes of Hypothesis
Type Statement form Example
Null hypothesis (H₀) “No difference” or “no relationship” H₀: There is no difference in mean scores between groups A and B
Alternative hypothesis (H₁) “There is a difference / relationship” H₁: There is a difference in mean scores between groups A and B
Directional Specifies direction of effect “Group A scores higher than Group B”
Non-directional Specifies difference but not direction “Groups A and B differ in scores”
Research / Working The substantive prediction “Active learning improves achievement”
Statistical The form tested with a statistical test The H₀/H₁ pair

A good hypothesis is clear, testable, specific, conceptually adequate, related to existing theory, and free from value judgments.

7.8 Practice Questions

Q 01 Research Characteristics Easy

Which of the following is not a characteristic of good research?

  • AReplicable
  • BEmpirical
  • CSubjective and value-loaded
  • DSystematic
View solution
Correct Option: C
Research must be objective and free from researcher bias.
Q 02 Types of Research Easy

Research undertaken to develop theory and advance knowledge with no immediate practical application is called:

  • AApplied research
  • BAction research
  • CPure / basic / fundamental research
  • DDiagnostic research
View solution
Correct Option: C
Pure / basic / fundamental research aims to develop theory; applied research solves practical problems.
Q 03 Research Examples Medium

Match the type of research with its example:

(i) Action research (a) Studying the nature of light
(ii) Applied research (b) A teacher refining classroom strategy with own students
(iii) Basic research (c) Designing a more efficient solar panel
  • A(i)-(b), (ii)-(c), (iii)-(a)
  • B(i)-(a), (ii)-(b), (iii)-(c)
  • C(i)-(c), (ii)-(a), (iii)-(b)
  • D(i)-(b), (ii)-(a), (iii)-(c)
View solution
Correct Option: A
Action → teacher's classroom; Applied → solar panel; Basic → nature of light.
Q 04 Positivism Easy

Positivism is most closely associated with:

  • AAuguste Comte
  • BKarl Popper
  • CThomas Kuhn
  • DJean Piaget
View solution
Correct Option: A
Auguste Comte introduced positivism in the 19th century. Popper and Kuhn are post-positivists.
Q 05 Hypothesis Easy

A hypothesis stating "there is no difference between the mean scores of two groups" is a:

  • ADirectional hypothesis
  • BNull hypothesis
  • CWorking hypothesis
  • DResearch hypothesis
View solution
Correct Option: B
The null hypothesis (H₀) states "no difference / no relationship".
Q 06 Variables Easy

In an experiment on the effect of a teaching method on achievement, teaching method is the:

  • ADependent variable
  • BIndependent variable
  • CExtraneous variable
  • DModerating variable
View solution
Correct Option: B
The independent variable is the cause manipulated by the researcher.
Q 07 Longitudinal Research Easy

A researcher collects data from the same group of school children every two years for ten years. This is an example of:

  • ACross-sectional research
  • BLongitudinal research
  • CAction research
  • DConceptual research
View solution
Correct Option: B
Longitudinal designs collect data from the same subjects over time.
Q 08 Post-Positivism Medium

Post-positivism differs from positivism primarily in that it:

  • ARejects empirical evidence
  • BHolds that observation is theory-laden and fallible
  • CBelieves only qualitative data is valid
  • DInsists on universal laws
View solution
Correct Option: B
Post-positivism accepts an objective reality but treats observation as fallible and theories as tentatively held.
ImportantQuick recall
  • Research is systematic, logical, empirical, replicable, objective, cyclical, original, generalisable.
  • Objectives: Exploratory, Descriptive, Diagnostic, Hypothesis-testing.
  • By purpose: Pure / Applied / Action.
  • By approach: Quantitative / Qualitative / Mixed methods.
  • By time: Cross-sectional / Longitudinal.
  • Paradigms: Positivism (Comte) → Post-positivism (Popper, Kuhn) → Constructivism → Pragmatism.
  • Variables: Independent (cause), Dependent (effect), Mediating (carrier), Moderating (changes strength), Extraneous (uncontrolled), Control (held constant).
  • Hypothesis: H₀ (null) vs H₁ (alternative); directional vs non-directional.