(a) What is sampling in the context of social research? Discuss different forms of sampling with their relative advantages and…

(a)

Meaning:

• sampling is selecting a subset (sample) of units from a defined population to draw conclusions about the whole;
• the key terms are the sampling frame (the list of the population), the sampling unit, sample size, sampling error (chance difference between sample and population) and non-sampling error (bias from the frame, non-response or measurement);
• it saves time and money and allows depth, but only a representative sample allows generalisation. The Literary Digest poll of 1936 wrongly predicted the US election from a biased frame of telephone and car owners.

• Probability sampling, where every unit has a known, non-zero chance of selection:

• Simple random: How it works — Lottery or random numbers; Advantages — Unbiased; sampling error can be estimated; Disadvantages — Needs a complete frame; may miss small groups; costly if scattered
• Systematic: How it works — Every *k*th unit after a random start; Advantages — Simple and quick; Disadvantages — Bias if the list has a periodic pattern
• Stratified: How it works — Population divided into strata (caste, region, sex), then sampled in each; Advantages — Ensures representation of subgroups; more precise; Disadvantages — Needs information on strata; more complex
• Cluster: How it works — Random selection of groups (villages, blocks), then all or some units within them; Advantages — Cheaper for dispersed populations; no full list needed; Disadvantages — Higher sampling error if clusters are internally alike
• Multi-stage: How it works — Stages such as district, then village, then household; Advantages — Practical for national surveys; Disadvantages — Error accumulates at each stage

• Illustration: the NSS and NFHS use multi-stage stratified sampling: villages or urban blocks first, then households.
• Non-probability sampling, where selection is not random:

• Convenience: How it works — Whoever is available; Advantages — Quick and cheap; Disadvantages — Highly biased; no generalisation
• Purposive (judgemental): How it works — Researcher chooses information-rich cases; Advantages — Good for in-depth or expert studies; Disadvantages — Depends on researcher judgement
• Quota: How it works — Fixed numbers from categories (for example 50% women); Advantages — Ensures category coverage cheaply; used in opinion polls; Disadvantages — Selection within quotas is not random
• Snowball: How it works — Respondents refer others; Advantages — Reaches hidden populations (sex workers, drug users, bonded labourers); Disadvantages — Network bias; homogeneous samples
• Theoretical (grounded theory): How it works — Cases chosen to develop concepts until saturation; Advantages — Fits theory-building; Disadvantages — Not statistically representative

• Choosing a design: it depends on the research aim (generalisation or depth), the availability of a frame, the population's accessibility, cost, and ethics. Mixed designs often combine a probability survey with purposive case studies.
• Conclusion: probability sampling gives statistical representativeness; non-probability sampling gives access and depth. Good research matches the sample to the question.

(b)

Karl Marx:

• religion is the "sigh of the oppressed creature, the heart of a heartless world... the opium of the people" (1844);
• following Feuerbach, humans project their own powers onto gods, a form of alienation;
• religion is ideology in the superstructure: it legitimises class rule, consoles the exploited, and produces false consciousness;
• it will wither away when exploitation ends.

Max Weber:

• Weber studied religion interpretively and comparatively: the religions of China and India, and Ancient Judaism;
• The Protestant Ethic and the Spirit of Capitalism (1904–05): an elective affinity between Calvinist predestination, the "calling" and inner-worldly asceticism, and the rational spirit of capitalism. Ideas can be causes of change;
• he developed typologies (ascetic and mystic; inner-worldly and other-worldly), theodicies that explain suffering, charisma and its routinisation, and the long-run disenchantment of the world;
• in The Religion of India (1916), he argued that karma, dharma and caste did not favour rational capitalism. Milton Singer's study of Madras industrialists (1972) questioned this.

Émile Durkheim:

• The Elementary Forms of Religious Life (1912): religion is a unified system of beliefs and practices relative to sacred things, uniting believers into a moral community;
• he studied Australian totemism: in worshipping the totem, society worships itself;
• collective effervescence in rituals renews the collective conscience and solidarity;
• religion is a social fact, and its functions will survive in secular forms (civil religion).

• How they differ:

• Approach: Marx — Conflict, historical materialism; Weber — Interpretive, comparative, historical; Durkheim — Functionalist, positivist
• Source of religion: Marx — Alienation and class society; Weber — Human search for meaning (theodicy); Durkheim — Society itself, the collective
• Function: Marx — Legitimation and consolation, which is conservative; Weber — Can be transformative; it shapes economic ethics; Durkheim — Integration and solidarity
• Relation to change: Marx — Reflects the economic base; Weber — Can cause change (Protestant ethic, charisma); Durkheim — Maintains order; new "effervescences" possible
• Future: Marx — Disappears with communism; Weber — Disenchantment, but religion persists; Durkheim — Transforms into secular sacred forms
• Method: Marx — Critique of ideology; Weber — Verstehen, ideal types; Durkheim — Social facts, comparative ethnography

Assessment:

• Marx explains religion's role in domination, Weber its role in meaning and change, and Durkheim its role in solidarity;
• together they cover religion's political, cultural and social dimensions. In India, religion can both legitimise caste (Marx), shape economic ethics (Weber) and bind communities through festivals and ritual (Durkheim).

(c)

Three models of the relationship:

• Conflict: the Draper–White "warfare" thesis, and Comte's law of three stages in which science replaces religion;
• Independence: Stephen Jay Gould's "non-overlapping magisteria": science deals with facts, religion with meaning and values;
• Dialogue and interdependence: Merton's thesis (1938) that Puritan values encouraged early modern science.

In modern society:

• Differentiation: science governs technology, medicine and policy, while religion moves to personal and community life. This is secularisation (Weber's disenchantment; Bryan Wilson);
• Persistence and return: Peter Berger's later desecularisation thesis, José Casanova's deprivatisation of religion, and Habermas's "post-secular" society;
• Conflict where jurisdictions overlap: evolution teaching, stem-cell research, reproductive technologies, vaccines, and the use of religious claims in pseudo-science;
• Science itself as a social institution: Kuhn's paradigms and Beck's risk society, where scientific uncertainty can revive faith.

Indian examples:

• Article 51A(h) makes scientific temper a fundamental duty; rationalist movements run from Periyar to Narendra Dabholkar, whose work led to Maharashtra's anti-superstition law (2013);
• coexistence: ISRO scientists offer prayers before launches, and Ayurveda and yoga are promoted alongside modern medicine;
• tension: controversies over unscientific claims in public life, and faith healing versus modern health care.

• Conclusion: the relationship is complex and contingent, not necessarily one of conflict. Modern societies show differentiation and negotiated coexistence, with conflict arising where either side claims the other's domain.