समाजशास्त्र Sociology

Quick summary

G.S. Ghurye (1893–1983) is called the Father of Indian Sociology; he headed the Bombay University sociology department for many years. M.N. Srinivas (1916–1999), his student, made the field study of Indian villages popular and gave key concepts like Sanskritization, Westernization and dominant caste. Both shaped how Indian society is studied.

Key points

• G.S. Ghurye was born in 1893 in Malvan (Konkan, Maharashtra). He studied at Cambridge under W.H.R. Rivers.
• He headed the Department of Sociology at the University of Bombay from 1924 to 1959 and founded the Indian Sociological Society (1951) and its journal Sociological Bulletin (1952).
• He used an Indological approach — studying Indian society through ancient texts, combined with historical and some field data.
• Main works: Caste and Race in India (1932), The Aborigines — So-called — and Their Future (1943, later The Scheduled Tribes), Indian Sadhus (1953), Indian Costume (1951).
• On caste: gave the six features of caste (segmental division, hierarchy, restrictions on feeding and social intercourse, civil and religious disabilities and privileges, restricted choice of occupation, endogamy).
• On tribes: called tribes "backward Hindus" and favoured their assimilation into Hindu society, opposing Verrier Elwin's isolation approach.
• M.N. Srinivas was born in 1916 in Mysore. He studied under Ghurye in Bombay and under Radcliffe-Brown and Evans-Pritchard at Oxford.
• He stressed the field view (fieldwork) over the book view (texts).
• Main works: Religion and Society among the Coorgs of South India (1952), Caste in Modern India and Other Essays (1962), Social Change in Modern India (1966), The Remembered Village (1976, on Rampura village near Mysore).
• Sanskritization – the process by which a low Hindu caste or tribe changes its customs, rituals, ideology and way of life in the direction of a high (often twice-born) caste, to claim higher status. It brings positional change, not structural change. (He first used the term in the Coorg study.)
• Westernization – changes in Indian society due to British rule, in technology, institutions, ideology and values (e.g. education, law, dress).
• Dominant caste – a caste that is numerically strong, owns much land, and has economic and political power in a village; it may not be ritually highest.

Important terms

• Indology – study of Indian society through classical texts.
• Sanskritization (संस्कृतीकरण) – imitation of upper-caste customs by lower castes.
• Westernization – social change due to contact with the West.
• Dominant caste – locally powerful caste.
• Field view – understanding society through fieldwork.
• Book view – understanding society through scriptures.

Important dates and people

5 important questions

Q1. Why is G.S. Ghurye called the Father of Indian Sociology?

He built the first major sociology department at Bombay University, trained many leading sociologists, founded the Indian Sociological Society and wrote pioneering works on caste, tribes and culture.

Q2. Define Sanskritization.

According to M.N. Srinivas, Sanskritization is the process by which a low caste or tribe changes its customs, rituals and way of life in the direction of a higher caste to claim a higher position.

Q3. Explain Ghurye's contribution to Indian sociology.

• Indological approach.
• Caste: six features.
• Tribes: assimilation view.
• Studies of sadhus, costume, culture.
• Institution-building: department, society, journal.

Q4. Explain the concepts of Sanskritization and Westernization.

• Meaning of each.
• Features: positional change, reference model.
• Examples: lower castes adopting vegetarianism; English education, dress.
• Relation between the two.
• Criticism (Yogendra Singh, Harold Gould).

Q5. Explain the concept of dominant caste with examples.

• Attributes: numbers, land, economic and political power, education, ritual rank.
• Role in village disputes and politics.
• Examples: Okkaligas in Rampura; Marathas in many Maharashtra villages.
• Changes over time.

Exam tip

Pair each thinker with his signature idea: Ghurye — six features of caste; Srinivas — Sanskritization and dominant caste.

Quick summary

D. P. Mukerji and A. R. Desai were two leading Indian sociologists who used a Marxian, historical approach. D. P. Mukerji studied Indian tradition and how it changes through a dialectic between tradition and modernity. A. R. Desai applied Marxist analysis to Indian nationalism, the state, rural society and peasant movements. This topic explains their life, approach and main ideas.

Key points

• D. P. (Dhurjati Prasad) Mukerji (1894–1961) – one of the founders of the Lucknow school of sociology, along with Radhakamal Mukerjee and D. N. Majumdar. He taught economics and sociology at Lucknow University and was a writer, music critic and public intellectual.
• Main works: Basic Concepts in Sociology (1932), Modern Indian Culture (1942), Problems of Indian Youth (1946), Diversities (1958).
• Approach: he called himself a "Marxologist" rather than a Marxist – he used Marx's dialectical method but adapted it to Indian conditions, giving importance to values, culture and tradition rather than class alone.
• Indian tradition: he argued that the first task of an Indian sociologist is to study social traditions. Indian society is organised around groups (caste, family, village) more than individuals.
• Principles of change in tradition: shruti (revealed texts), smriti (remembered texts and codes) and anubhava (personal experience). Anubhava – the experience of saints and reformers, especially from the Bhakti movement – was the main source of change from within.
• Tradition and modernity: Western impact created a new middle class, which was cut off from Indian tradition. He saw a dialectic (conflict and synthesis) between Indian tradition and Western modernity, leading to new forms.
• A. R. (Akshay Ramanlal) Desai (1915–1994) – a leading Marxist sociologist who taught at the University of Bombay; he was trained under G. S. Ghurye and was also active in left politics.
• Main works: Social Background of Indian Nationalism (1948), Rural Sociology in India (edited), State and Society in India (1975), Peasant Struggles in India (1979), Agrarian Struggles in India after Independence (1986).
• Approach: historical-dialectical materialism – changes in the economy (production relations) explain changes in society and politics.
• Indian nationalism: he showed that nationalism grew out of the material changes of British rule – new land relations, capitalism, modern education, communications and new classes (industrial bourgeoisie, middle class, working class).
• State and development: he criticised the post-independence state as a capitalist path of development that benefited the rich and neglected the poor.
• Peasant struggles: he documented peasant and agrarian movements and stressed class conflict in rural India.
• Evaluation: both brought Marxian thinking into Indian sociology; Mukerji linked it with tradition and culture, Desai with economy and class. Critics say Mukerji's ideas were less empirical and Desai under-stressed caste and culture.

Important terms

• Marxologist – one who uses Marx's method critically without accepting it fully.
• Anubhava – lived experience, a source of change in tradition.
• Dialectic – change through the conflict of opposite forces and their synthesis.
• Historical materialism – explaining society through economic production relations.
• Lucknow school – early tradition of Indian sociology at Lucknow University.

Important thinkers and theories

• D. P. Mukerji – tradition, anubhava, dialectic of tradition and modernity.
• A. R. Desai – Marxist analysis of nationalism, state and peasants.
• Radhakamal Mukerjee and D. N. Majumdar – other members of the Lucknow school.

5 important questions

Q1. Why did D. P. Mukerji call himself a Marxologist?

Because he used Marx's dialectical method to study society but did not accept Marxism as a dogma; he adapted it to Indian tradition and culture.

Q2. Name any two books by A. R. Desai.

Social Background of Indian Nationalism (1948) and Peasant Struggles in India (1979).

Q3. Explain D. P. Mukerji's views on Indian tradition and social change.

• Importance of studying tradition.
• Shruti, smriti and anubhava.
• Middle class and Western impact.
• Dialectic of tradition and modernity.

Q4. Discuss A. R. Desai's analysis of Indian nationalism.

• Marxist approach.
• Material changes under British rule.
• New classes and their role.
• Phases and contradictions of the national movement.

Q5. Compare the approaches of D. P. Mukerji and A. R. Desai.

• Common Marxian roots.
• Mukerji: culture, values, tradition.
• Desai: economy, class, state.
• Contribution to Indian sociology.

Exam tip

Remember two key words: "Marxologist" and "anubhava" for D. P. Mukerji, and "Social Background of Indian Nationalism (1948)" for A. R. Desai.

Quick summary

Irawati Karve and Dr. B. R. Ambedkar were two thinkers from Maharashtra who shaped the sociological understanding of Indian kinship and caste. Karve, an anthropologist at Deccan College, Pune, mapped kinship systems across India and explained caste as a kin-based group. Ambedkar analysed the origin and mechanism of caste, showing endogamy as its core, and called for its annihilation. This topic explains their main sociological ideas.

Key points

• Irawati Karve (1905–1970) – born in Burma (Myanmar); studied under G. S. Ghurye at Bombay and took her doctorate in Berlin (1930). She headed the department of sociology and anthropology at Deccan College, Pune, and wrote in both English and Marathi.
• Main works: Kinship Organisation in India (1953), Hindu Society: An Interpretation (1961), Maharashtra: Land and its People (1968) and Yuganta (Marathi; Sahitya Akademi Award), a sociological reading of the Mahabharata.
• Approach: combined Indology (texts like the Mahabharata), field work and physical anthropology (body measurements, blood groups).
• Kinship zones: she divided India into four zones with different kinship patterns – northern (exogamy of gotra and village, no cousin marriage, bride from a distant place), central (mixed features), southern (cross-cousin and uncle–niece marriage, marriage within a close circle) and eastern (influence of tribal and other systems).
• On caste: caste is an extended kin group; jatis are endogamous groups that often grew separately, not as fragments of one varna. Several related castes form a caste-cluster. Indian society is like a "patchwork" of many such groups living side by side.
• Dr. B. R. Ambedkar (1891–1956) – economist, jurist, sociologist and leader; studied at Columbia University and the London School of Economics.
• Endogamy (marriage within the group) is the only essential feature of caste; it was superimposed on exogamy (gotra rules).
• To preserve endogamy, surplus women and men were controlled through sati, enforced widowhood and child marriage.
• Caste is an "enclosed class"; Brahmins first closed their class and others imitated them.
• "Castes in India: Their Mechanism, Genesis and Development" (1916) – a paper read at a Columbia anthropology seminar. Main arguments:
• ***Annihilation of Caste* (1936)** – caste is a division of labourers, not of labour; it is backed by religious scriptures, so reform requires rejecting their authority.
• Graded inequality – each caste is above some and below others, so lower castes cannot unite easily.
• Other works: Who Were the Shudras? (1946), The Untouchables (1948), The Buddha and His Dhamma (1957).
• Democracy: for Ambedkar democracy is not only a form of government but "a mode of associated living" based on liberty, equality and fraternity.
• Evaluation: Karve gave empirical maps of kinship and a regional view of caste; Ambedkar gave a critical, emancipatory sociology of caste from the viewpoint of the oppressed.

Important terms

• Kinship zone – a region with a similar pattern of kinship and marriage.
• Endogamy – marriage within one's own group.
• Exogamy – marriage outside a group such as gotra or village.
• Caste-cluster – a group of related castes in one region.
• Graded inequality – hierarchy where each group is placed above some and below others.

Important thinkers and theories

• Irawati Karve – kinship zones; caste as extended kin group.
• Dr. B. R. Ambedkar – endogamy and caste; annihilation of caste; graded inequality.
• G. S. Ghurye – teacher of Karve; features of caste.

5 important questions

Q1. Name any two books by Irawati Karve.

Kinship Organisation in India (1953) and Hindu Society: An Interpretation (1961). (Also Yuganta.)

Q2. According to Ambedkar, what is the essence of caste?

Endogamy – the rule of marrying within the group, superimposed on exogamy, is the only essential characteristic of caste.

Q3. Explain Irawati Karve's study of kinship zones in India.

• Method and sources.
• Northern, central, southern and eastern zones.
• Marriage rules and kinship terms in each.
• Significance for understanding Indian society.

Q4. Discuss Ambedkar's theory of the origin and mechanism of caste.

• The 1916 paper.
• Endogamy over exogamy.
• Sati, enforced widowhood, child marriage.
• Caste as an enclosed class; imitation.

Q5. Assess the contribution of Karve and Ambedkar to Indian sociology.

• Karve: kinship, caste as kin group, Indology plus fieldwork.
• Ambedkar: critique of caste, graded inequality, democracy.
• Relevance for present Indian society.

Exam tip

Link each thinker with one key word: Karve – "kinship zones"; Ambedkar – "endogamy" (1916 paper). Mentioning both books with years gives a strong start.

Quick summary

Social research is the systematic and scientific study of social life to discover new facts, test old facts and find relationships among them. It follows the scientific method — from a problem and hypothesis to data collection, analysis and conclusions. This topic covers the meaning, objectives, steps and types of social research, and the role of hypothesis.

Key points

• Definition (P.V. Young): social research is a scientific undertaking which, by means of logical and systematised methods, aims to discover new facts or verify old facts, and to analyse their sequences, interrelationships and causal explanations.
• Objectives: discover new facts, verify existing knowledge, find causal relations, build theory, solve social problems, help planning and policy.
• Characteristics of scientific method: verifiability, objectivity, generality, predictability, systematic procedure, accuracy.
• Selection and formulation of the research problem.
• Review of literature.
• Formulation of hypothesis.
• Research design.
• Sampling.
• Data collection.
• Classification, tabulation and analysis of data.
• Interpretation and testing of hypothesis.
• Report writing.
• Steps of social research:
• Hypothesis – a tentative statement about the relationship between two or more variables, to be tested (Goode and Hatt: a proposition which can be put to a test to determine its validity). Example: "Higher education of women lowers family size."
• Qualities of a good hypothesis: clear, specific, testable, related to theory and available techniques, simple.
• Pure (basic/fundamental) – for knowledge and theory.
• Applied – to solve practical problems.
• Exploratory – to explore a new area and form hypotheses.
• Descriptive – to describe characteristics of a group or situation accurately.
• Explanatory (diagnostic) – to find causes and test hypotheses.
• Experimental – to test cause–effect by controlling variables.
• Action research – research to bring change, with participants.
• Quantitative and qualitative research.
• Types of research:
• Variables: independent (cause) and dependent (effect).
• Problems of objectivity in social research: researcher's bias, complex and changing subject matter, difficulty of experiments, respondents' unwillingness. Max Weber argued for value neutrality.

Important terms

• Research (संशोधन) – careful, systematic search for knowledge.
• Hypothesis (गृहीतक) – testable tentative statement.
• Variable – a characteristic that can take different values (age, income).
• Research design – the overall plan of a study.
• Objectivity – studying facts without personal bias.
• Concept – an abstract idea that names a phenomenon (e.g. status, role).

Important thinkers and theories

• P.V. Young – Scientific Social Surveys and Research; classic definition of social research.
• Goode and Hatt – Methods in Social Research (1952); definition of hypothesis.
• Max Weber – value neutrality in social science.
• Emile Durkheim – Suicide as a model of quantitative sociological research.

5 important questions

Q1. What is a hypothesis?

A hypothesis is a tentative statement about the relation between variables that the researcher tests with data. Example: "Urban youth are less religious than rural youth."

Q2. Distinguish between pure and applied research.

Pure research aims to increase knowledge and build theory. Applied research aims to solve practical problems, such as finding causes of school dropout to design a remedy.

Q3. Explain the steps of social research.

• Problem selection.
• Literature review.
• Hypothesis.
• Research design and sampling.
• Data collection.
• Analysis and interpretation.
• Report writing.

Q4. Explain the types of social research.

• Pure and applied.
• Exploratory, descriptive, explanatory.
• Experimental.
• Action research.
• Quantitative and qualitative.
• One example each.

Q5. Explain the meaning, sources and qualities of a good hypothesis.

• Definition (Goode and Hatt).
• Sources: theory, observation, culture, analogy, previous studies, personal experience.
• Qualities: clear, specific, testable, related to theory, simple.
• Role: guides data collection and analysis.

Exam tip

Learn the steps of research in order as a numbered list; examiners often ask them directly, and the order itself carries marks.

Quick summary

Social research uses the scientific method – a systematic way of gaining knowledge through observation, testing and logical reasoning. This topic explains the meaning and features of the scientific method, the main steps of social research from choosing a problem to writing the report, and the difficulties of applying the scientific method to the study of society.

Key points

• Science is defined by its method, not its subject matter. Karl Pearson (The Grammar of Science, 1892): "The unity of all science consists alone in its method, not in its material."
• Scientific method – a systematic procedure of observation, classification, hypothesis, verification and generalisation.
• Verifiability – findings can be checked again by others.
• Objectivity – facts are studied as they are, free from personal bias.
• Generality – conclusions apply to a class of cases, not one case.
• Predictability – it helps to predict future trends.
• Systematic and precise – planned steps and exact measurement.
• Ethical neutrality – the researcher does not judge facts as good or bad while studying them.
• Search for causes – it explains why things happen.
• Features of the scientific method:
• Inductive method – from particular observations to a general conclusion. Deductive method – from a general theory to particular predictions that are tested.
• Selection and formulation of the problem – choosing a clear, researchable topic.
• Review of literature – reading earlier studies to know what is known.
• Formulation of hypothesis – a testable statement of relationship.
• Research design – the overall plan of the study.
• Sampling – selecting units from the universe.
• Construction of tools – questionnaire, schedule, interview guide; pilot study.
• Collection of data – fieldwork and secondary sources.
• Processing and analysis – editing, coding, classification, tabulation, statistics.
• Interpretation and generalisation – testing the hypothesis, drawing conclusions.
• Report writing – presenting findings.
• Steps of social research:
• Difficulties in social research: complex and changing human behaviour; difficulty in controlled experiments; personal bias of the researcher; respondents may hide truth; problems of measurement of attitudes and values; low predictability.
• Ways to improve objectivity: standardised tools, random sampling, pilot study, team research, cross-checking data, statistical methods.

Important terms

• Scientific method – systematic process of gaining verified knowledge.
• Objectivity – studying facts without personal bias.
• Induction – reasoning from particular facts to a general rule.
• Deduction – reasoning from a general rule to particular cases.
• Pilot study – a small trial study before the main research.

Important thinkers and theories

• Karl Pearson – science is defined by its method.
• Auguste Comte – positivism; social science should follow scientific method.
• Emile Durkheim – treat social facts as things; his Suicide (1897) is a classic example of scientific social research.
• P. V. Young – Scientific Social Surveys and Research.

5 important questions

Q1. What is meant by objectivity?

Objectivity means studying and reporting facts as they actually are, without allowing personal beliefs, feelings or bias to affect the findings.

Q2. Distinguish between inductive and deductive methods.

Induction moves from particular observations to a general conclusion; deduction starts from a general theory and tests particular predictions derived from it.

Q3. Explain the characteristics of the scientific method.

• Definition (Pearson).
• Verifiability, objectivity, generality, predictability.
• Systematic, precise, ethically neutral, causal.
• Example from social research.

Q4. Describe the main steps of social research.

• Problem, literature, hypothesis.
• Research design and sampling.
• Tools and data collection.
• Analysis, interpretation, report.

Q5. Can sociology be a science? Discuss the difficulties of scientific method in social research.

• Arguments for: systematic method, verification, generalisation.
• Difficulties: complexity, bias, experiments, measurement, prediction.
• Remedies and conclusion.

Exam tip

Learn the steps as a flow chart: Problem → Literature → Hypothesis → Design → Sample → Tools → Data → Analysis → Interpretation → Report. A neat flow chart can earn full marks for a steps question.

Quick summary

A hypothesis is a tentative statement about the relationship between variables that a researcher tests; a research design is the overall plan of how a study will be carried out. Both give direction to research. This topic explains the meaning, sources, types and qualities of hypotheses, the role of variables, and the main types of research design.

Key points

• Hypothesis – "a proposition which can be put to a test to determine its validity" (Goode and Hatt). Lundberg called it a tentative generalisation whose validity remains to be tested.
• Example: "Children of educated mothers have lower dropout rates than children of illiterate mothers."
• Sources of hypothesis: existing theory, earlier research, personal experience and observation, culture and common sense, analogy with other sciences, intuition of the researcher.
• Descriptive – states the existence or size of something.
• Relational/causal – states a relationship between variables.
• Null hypothesis (H₀) – states that there is no relationship; alternative hypothesis (H₁) states that a relationship exists.
• Working hypothesis – a temporary hypothesis used at the start of a study.
• Types of hypothesis:
• Qualities of a good hypothesis: clear and precise concepts, testable with available methods, specific, related to existing theory, simple, and limited in scope.
• Functions: gives direction, decides what data to collect, links theory with facts, helps draw conclusions.
• Variables: independent variable – the cause (e.g. mother's education); dependent variable – the effect (dropout rate); intervening/control variables – other factors that may affect the relationship (income, distance to school).
• Research design – the conceptual structure or blueprint of research, deciding what, where, when, how much and by what means the data will be collected and analysed.
• Exploratory (formulative) – to explore a new or little-known problem and form hypotheses; uses literature survey, experience survey, insight-giving cases.
• Descriptive – to describe the characteristics of a group or situation accurately (e.g. a socio-economic survey of a village).
• Diagnostic – to find causes of a problem and suggest solutions.
• Experimental – to test causal hypotheses by comparing an experimental group with a control group (before–after design).
• Types of research design:
• Qualities of a good design: flexible, economical, minimises bias, maximises reliability, suits the objective.

Important terms

• Hypothesis – a testable tentative statement.
• Null hypothesis – a statement of no relationship.
• Independent variable – presumed cause.
• Dependent variable – presumed effect.
• Research design – the overall plan of a study.

Important thinkers and theories

• W. J. Goode and P. K. Hatt – Methods in Social Research (1952); definition and qualities of hypothesis.
• G. A. Lundberg – hypothesis as tentative generalisation.
• Claire Selltiz and others – classification of research designs.

5 important questions

Q1. Define hypothesis.

According to Goode and Hatt, a hypothesis is a proposition that can be put to a test to determine its validity; it is a tentative statement of a relationship between variables.

Q2. Distinguish between independent and dependent variables.

The independent variable is the presumed cause that the researcher examines; the dependent variable is the effect that changes in response to it.

Q3. Explain the sources and qualities of a good hypothesis.

• Sources: theory, earlier research, experience, culture, analogy.
• Qualities: clarity, testability, specificity, theoretical link, simplicity.
• Example.

Q4. What is research design? Explain its types.

• Meaning and purpose.
• Exploratory, descriptive, diagnostic, experimental.
• Example of each.

Q5. Discuss the importance of hypothesis in social research.

• Gives direction and focus.
• Decides data and methods.
• Links theory and facts.
• Limitations: bias if fixed too early.

Exam tip

Always give one example hypothesis and mark its independent and dependent variables – it shows practical understanding.

Quick summary

Data are the facts a researcher collects to answer research questions. Primary data are collected first-hand by the researcher; secondary data are already collected by others. This topic covers the main methods of collecting primary data — observation, interview, questionnaire and schedule — and also case study and sources of secondary data.

Key points

• Primary data – original, first-hand data collected for the present study (e.g. survey of farmers in Bhandara).
• Secondary data – data already collected and published by others: Census, NSSO/NSO reports, government records, books, journals, newspapers, diaries, letters.
• Participant observation – researcher lives with the group and takes part in its life (e.g. W.F. Whyte's Street Corner Society, 1943).
• Non-participant observation – researcher observes without taking part.
• Controlled and uncontrolled observation.
• Merits: direct, natural behaviour, useful for people who cannot read. Limits: time-consuming, observer bias, cannot study past events.
• Observation – systematic watching and recording of behaviour as it happens.
• Structured (fixed questions in fixed order) and unstructured (flexible).
• Focused interview (Merton), in-depth interview, group interview.
• Merits: deeper information, can explain questions, useful for illiterate respondents. Limits: interviewer bias, costly, time-consuming.
• Interview – face-to-face (or phone) verbal interaction to get information.
• Merits: cheap, covers wide area, respondent's privacy, less bias. Limits: needs literate respondents, low response rate, no chance to clarify.
• Questionnaire – a list of questions sent to respondents, who fill it themselves (by post, email or online forms).
• Schedule – a list of questions filled by the researcher/enumerator in front of the respondent. Used in the Census. Useful for illiterate respondents; higher response rate; more costly.
• Types of questions: open-ended and closed-ended (multiple choice, yes/no).
• Case study – in-depth study of a single unit (person, family, village, institution). Frederic Le Play used it for family budgets; Clifford Shaw for delinquency. Gives depth, not wide generalisation.
• Content analysis – systematic study of documents and media content.
• Pilot study / pre-test – testing tools on a small group before the main study.

Important terms

• Data (तथ्ये/आधारसामग्री) – facts collected for research.
• Respondent – person who gives information.
• Informant – a knowledgeable person who gives information about a group.
• Rapport – friendly relation and trust between researcher and respondent.
• Enumerator – person who fills a schedule.
• Reliability – consistency of results; validity – measuring what is intended.

Important thinkers and theories

5 important questions

Q1. Distinguish between primary and secondary data.

Primary data are collected first-hand by the researcher for the present study. Secondary data are already collected by others, such as Census reports and books.

Q2. What is participant observation?

It is a method where the researcher becomes part of the group, lives with them and takes part in their activities while observing their behaviour.

Q3. Explain the observation method with its types, merits and limitations.

• Meaning.
• Participant and non-participant; controlled and uncontrolled.
• Merits.
• Limitations.
• Example from Indian village studies.

Q4. Distinguish between questionnaire and schedule.

• Who fills: respondent vs enumerator.
• Literacy needed vs not needed.
• Coverage and cost.
• Response rate.
• Personal contact and clarification.
• Use in Census.

Q5. Explain the interview method and its types.

• Meaning.
• Structured, unstructured, focused, in-depth, group.
• Steps: preparation, rapport, questioning, recording.
• Merits and limitations.

Exam tip

The questionnaire vs schedule comparison is asked almost every year — prepare a six-point table.

Quick summary

Sampling means selecting a small, representative part (sample) of a large group (universe or population) to study it and draw conclusions about the whole group. It saves time, money and effort. This topic covers the meaning, merits, types of sampling (probability and non-probability) and qualities of a good sample.

Key points

• Universe (population) – the whole group of units the researcher wants to study (e.g. all college students in Nagpur).
• Sample – a part of the universe selected for study.
• Sampling frame – a list of all units of the universe from which the sample is drawn (e.g. voter list).
• Sampling unit – a single member or element of the universe (a person, household, village).
• Census method – studying every unit of the universe (complete enumeration). Sample method – studying only a selected part.
• Merits of sampling: saves time, money and labour; possible when the universe is very large or infinite; allows deeper study of fewer units; quick results; only way when testing destroys units.
• Limitations: risk of bias, wrong sample gives wrong conclusions, needs expert knowledge, not suitable when universe is very small or very varied.
• Simple random sampling – lottery method or random number tables.
• Systematic sampling – every k-th unit from a list after a random start.
• Stratified random sampling – universe divided into strata (groups) and random samples drawn from each.
• Cluster sampling – groups (clusters) are selected randomly, then all or some units in them studied.
• Multi-stage sampling – selection in stages (district → taluka → village → household).
• Probability (random) sampling – every unit has a known and equal (or known) chance of selection.
• Purposive (judgement) sampling – units chosen deliberately for a purpose.
• Quota sampling – fixed quotas from each category, chosen by the field worker.
• Convenience (accidental) sampling – whoever is easily available.
• Snowball sampling – respondents lead to further respondents; useful for hidden groups.
• Non-probability sampling – selection is based on the researcher's judgement or convenience.
• Qualities of a good sample: representative, adequate size, independent, homogeneous with the universe, free from bias, practicable.
• Sampling error – difference between the sample result and the true value of the universe; it falls as sample size grows.

Important terms

• Sampling (नमुना निवड) – choosing a part to study the whole.
• Representative sample – a sample that reflects the main features of the universe.
• Strata – sub-groups of a universe based on a characteristic (caste, income, gender).
• Bias – systematic error that makes the sample unrepresentative.
• Sampling interval (k) – gap used in systematic sampling.

Formulas

• Sampling interval k = N ÷ n (N = size of universe, n = sample size)
• Proportionate stratified sample from a stratum = (Stratum size ÷ N) × n
• Sampling fraction = n ÷ N

5 important questions

Q1. A college has 1,200 students and a sample of 60 is needed by systematic sampling. Find the sampling interval and explain the selection.

• k = N ÷ n = 1,200 ÷ 60 = 20.
• Choose a random start between 1 and 20 (say 7), then select 7, 27, 47, 67 ... from the list.

Q2. A village has 600 households: 300 farmers, 200 labourers, 100 traders. Draw a proportionate stratified sample of 60.

• Farmers: (300 ÷ 600) × 60 = 30.
• Labourers: (200 ÷ 600) × 60 = 20.
• Traders: (100 ÷ 600) × 60 = 10.

Q3. Explain the meaning, merits and limitations of sampling.

• Universe, sample, sampling frame, unit.
• Census vs sample method.
• Merits.
• Limitations.
• Qualities of a good sample.

Q4. Explain the types of probability sampling.

• Simple random: lottery, random tables.
• Systematic.
• Stratified.
• Cluster.
• Multi-stage.
• Merits and demerits of each.

Q5. Explain non-probability sampling methods.

• Purposive.
• Quota.
• Convenience.
• Snowball.
• When to use; limitations (bias, no generalisation).
• Comparison with probability sampling.

Exam tip

Short numericals on systematic and stratified sampling are easy marks — always show the formula, then the substitution, then the answer.

Quick summary

After data are collected, they must be processed before they can be understood. Processing includes editing, coding, classification and tabulation; then the data are analysed and interpreted, and the results are presented in a research report. This topic explains these steps, the parts of a table, and the structure and qualities of a good research report.

Key points

• Processing of data – the stage between data collection and analysis. Steps: editing → coding → classification → tabulation.
• Editing – checking filled questionnaires or schedules for errors, omissions and inconsistencies. Field editing is done soon after the interview; central editing is done in the office.
• Coding – giving numbers or symbols to answers (e.g. Male = 1, Female = 2) so that they can be counted easily, by hand or by computer.
• Geographical – by place (district, village, rural/urban).
• Chronological – by time (year, month).
• Qualitative – by attributes (sex, religion, caste, education).
• Quantitative – by measurable values (age groups, income groups).
• Classification – arranging data into groups or classes according to common characteristics. Types:
• Tabulation – arranging classified data in rows and columns. It makes data brief, clear and easy to compare.
• Parts of a table: table number, title, captions (column headings), stubs (row headings), body (the figures), head-note (unit of measurement), footnote and source.
• Example – Educational level of 120 respondents in a village survey:

• Here percentage = (number ÷ total) × 100; e.g. 42 ÷ 120 × 100 = 35.
• Types of tables: simple (one characteristic) and complex (two or more characteristics, e.g. education by sex).
• Diagrams and graphs – bar diagrams, pie charts, histograms and line graphs present data visually.
• Analysis and interpretation – finding patterns, averages and relationships, testing the hypothesis and explaining what the results mean.
• Research report – the final written account of the study. Structure: preliminary pages (title, acknowledgement, contents, list of tables); introduction (problem, objectives, hypotheses); review of literature; methodology (universe, sample, tools); analysis and findings; summary and conclusions; suggestions; bibliography; appendices (questionnaire).
• Qualities of a good report: clear and simple language, logical order, objectivity, accuracy, brevity with completeness, proper references, tables and charts where useful, honest mention of limitations.

Important terms

• Editing – checking data for errors and completeness.
• Coding – assigning symbols or numbers to answers.
• Classification – grouping data by common features.
• Tabulation – presenting data in rows and columns.
• Bibliography – list of books and sources used.

Important thinkers and theories

• P. V. Young – stressed careful processing and clear reporting of social research.
• Goode and Hatt – steps of data processing and analysis.

5 important questions

Q1. What is coding?

Coding is the process of assigning numbers or symbols to the answers of respondents so that data can be counted and analysed easily, especially on a computer.

Q2. Name the parts of a table.

Table number, title, captions, stubs, body, head-note, footnote and source.

Q3. Explain the meaning and types of classification.

• Meaning and purpose.
• Geographical, chronological, qualitative, quantitative.
• Example for each.
• Rules of good classification (clear, exhaustive, mutually exclusive).

Q4. What is tabulation? Explain its importance and the parts of a table.

• Meaning; simple and complex tables.
• Importance: brevity, comparison, analysis.
• Parts of a table with an example.

Q5. Describe the structure and qualities of a good research report.

• Preliminary pages, introduction, literature, methodology.
• Findings, conclusions, suggestions, bibliography, appendices.
• Qualities: clarity, objectivity, accuracy, logical order.

Exam tip

Draw a small sample table with all its parts labelled; it is quick to draw and often gets full marks in a tabulation question.