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Scope and Branches of Anthropology

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What it is

Unit I sets up the discipline: how anthropology grew from armchair theorising into a fieldwork science, what it aims at (the holistic, comparative study of humankind across all times and places, biological and cultural), how it relates to other sciences, how its branches fit together, and its methods and statistics. UGC-NET tests attributions, method matching and computations.

Core concepts

History, development, aim and scope. Broca founded the Anthropological Society of Paris (1859); the Royal Anthropological Institute dates from 1871. Evolutionists such as Tylor (Primitive Culture, 1871) and Morgan (Ancient Society, 1877) ranked societies into stages. Tylor defined culture as "that complex whole" of knowledge, belief, art, morals, law and custom acquired as a member of society, and became the first Reader in Anthropology at Oxford (1884). The Torres Strait expedition (1898: Haddon, Rivers, Seligman) began field-based work; Boas built American four-field anthropology; Malinowski's Argonauts of the Western Pacific and Radcliffe-Brown's The Andaman Islanders both appeared in 1922. In India, the Asiatic Society dates from 1784 and the Anthropological Survey of India from 1945. Hallmarks: holism, comparison, relativism.

Relationship with other sciences. Anthropology shares human biology with anatomy, genetics and medicine, and society with sociology; Radcliffe-Brown called social anthropology comparative sociology. It shares the past with history and palaeontology, and mind with psychology. Evans-Pritchard (Marett Lecture, 1950) placed social anthropology nearer history and the humanities than the natural sciences.

Branches and their interrelationship. The four fields are biological (physical) anthropology (primatology, palaeoanthropology, genetics, growth, variation), archaeological anthropology, social-cultural anthropology (ethnography describes, ethnology compares) and linguistic anthropology; applied anthropology is often a fifth. Linguistic anthropology spans descriptive linguistics (phoneme: smallest sound unit that changes meaning; morpheme: smallest unit of meaning; syntax), historical linguistics (language families; Swadesh's glottochronology dates divergence), sociolinguistics, and Hymes's ethnography of speaking. The Sapir–Whorf hypothesis says language shapes thought (strong form determinism, weak form relativity). Birdwhistell named kinesics and E.T. Hall proxemics. The fields interlock: language, genes and artefacts together trace migrations.

Epistemology, ontology, theoretical perspectives; research types and hypothesis. Ontology asks what reality is; epistemology asks how we can know it (objectivism, constructionism, subjectivism). In Crotty's scheme (1998), epistemology informs a theoretical perspective (positivism, interpretivism, critical inquiry, feminism), which shapes a methodology (ethnography, grounded theory, survey), which selects methods (interview, observation). Quantitative research measures and tests deductively; qualitative research interprets meaning inductively; mixed methods combine them. Designs are exploratory, descriptive, explanatory or experimental. A hypothesis is a testable statement about variables; rejecting a true null (H0) is a Type I error (α), retaining a false one a Type II error (β).

Fieldwork tradition, ethnography, observation and interview. Frazer (The Golden Bough) typifies the armchair tradition. Malinowski made long participant observation in the local language the standard, to grasp the native's point of view. Ethnography is both process and written product; Geertz took thick description from Gilbert Ryle; Pike coined emic (insider) and etic (observer). Observation is participant, non-participant or quasi-participant; interviews are structured, unstructured or in-depth, often with key informants.

Case study, life history, focus group, genealogy, schedule. A case study probes one unit holistically. A life history shows culture through one biography, as in Oscar Lewis's The Children of Sanchez (1961). A focus group is a moderated discussion in a small homogeneous group, descended from Merton's focused interview. Rivers's genealogical method (1900, from the Torres Strait work, later the Todas) collects pedigrees to recover kin terms, descent, marriage rules, migration and vital statistics: triangle male, circle female, = marriage, vertical line descent. The respondent fills a questionnaire (literacy needed); the investigator fills a schedule face to face.

PRA, RRA and grounded theory. Rapid Rural Appraisal (late 1970s–80s) let outsiders learn fast through semi-structured interviews and observation, and was largely extractive. Participatory Rural Appraisal, associated with Robert Chambers, hands analysis to the community: social and resource maps, transect walks, seasonal calendars, Venn (chapati) diagrams, matrix and wealth ranking. Grounded theory (Glaser and Strauss, 1967) builds theory from data by constant comparison and theoretical sampling until saturation; coding runs open, axial, selective (the last two from Strauss and Corbin).

Exploration, excavation and GIS. Exploration (survey) locates sites by maps, field walking, surface collection and remote sensing. Vertical excavation (trenches) reveals the cultural sequence; horizontal (open-area) excavation exposes one occupation level; Wheeler's grid method keeps baulks that show the section. Stratigraphy rests on superposition (lower is older unless disturbed), and each find's three-dimensional provenience is recorded. A GIS stores georeferenced layers as vector (points, lines, polygons) or raster (grid cells) data for site distribution and predictive modelling.

Variables, sampling, central tendency and dispersion. Variables are independent or dependent, discrete or continuous, on nominal, ordinal, interval (no true zero) or ratio (true zero) scales. Probability sampling: simple random, systematic (every kth unit, k = N/n), stratified, cluster, multistage. Non-probability: purposive, quota, convenience, snowball. Mean suits interval or ratio data, median ordinal, mode nominal; for moderate skew, mode ≈ 3 median − 2 mean. Dispersion: range, quartile deviation (Q3 − Q1)/2, mean deviation, SD and CV = SD/mean × 100.

Parametric and non-parametric tests; regression. Parametric tests assume interval data and normality: t-test (two means), ANOVA's F (three or more), Pearson's r. Non-parametric counterparts: Mann–Whitney U (Wilcoxon signed-rank if paired), Kruskal–Wallis, Spearman's rho; chi-square tests association of nominal variables. These are bivariate; multiple and logistic regression are multivariate. Linear regression fits Y = a + bX by least squares: b = Σ(x − x̄)(y − ȳ)/Σ(x − x̄)², a = ȳ − b x̄; R² is the variance explained. Logistic regression handles a binary outcome, modelling ln[p/(1 − p)] = b0 + b1X by maximum likelihood; e^b is the odds ratio.

Content, discourse and narrative analysis. Content analysis (Berelson) is the objective, systematic, usually quantitative description of manifest content: code units into categories and count. Discourse analysis studies how language in use constructs reality and power (Foucault; critical discourse analysis, Fairclough). Narrative analysis reads sequence, plot and voice; Labov's model runs abstract, orientation, complicating action, evaluation, resolution, coda.

Worked example

Estimating stature from femur length by linear regression. Five adults (illustrative data), femur X and stature Y in cm.

XYx − x̄y − ȳproduct(x − x̄)²(y − ȳ)²
40155−4−9361681
42160−2−48416
441630−1001
46168248416
481744104016100
Σ 220Σ 820Σ 0Σ 0Σ 92Σ 40Σ 214
  1. Means: x̄ = 220/5 = 44; ȳ = 820/5 = 164.
  2. Slope: b = 92/40 = 2.3 cm of stature per cm of femur.
  3. Intercept: a = 164 − 2.3 × 44 = 164 − 101.2 = 62.8, so Y = 62.8 + 2.3X.
  4. For a 45 cm femur: 62.8 + 103.5 = 166.3 cm.
  5. r = 92/√(40 × 214) = 92/92.52 ≈ 0.994; R² ≈ 0.989.
  6. Second route, raw scores: ΣXY = 36,172, ΣX² = 9,720; b = (5 × 36,172 − 220 × 820)/(5 × 9,720 − 220²) = 460/200 = 2.3. It agrees.

Common traps

  • Ontology is what exists; epistemology is how we know it.
  • The respondent fills a questionnaire; the investigator fills a schedule.
  • RRA is quick and extractive by outsiders; PRA hands analysis to the community.
  • Genealogical method: Rivers. Participant observation: Malinowski. Grounded theory: Glaser and Strauss. Emic/etic: Pike.
  • Logistic regression predicts the log-odds of a binary outcome; e^b is an odds ratio, not a slope in Y.
  • Vertical excavation gives the sequence; horizontal gives one level's layout.

Speed technique

  • Place the term on Crotty's chain: epistemology → theoretical perspective → methodology → methods.
  • Match test to data: normal interval means → t or ANOVA; ranks → Mann–Whitney, Kruskal–Wallis, Spearman; categories → chi-square; binary outcome → logistic.
  • Cues: pedigrees → genealogical method; community maps, transect walks → PRA; theory from data → grounded theory.

Check yourself

  1. Who devised the genealogical method, and on which expedition?
    Show answer
    W.H.R. Rivers — the Torres Strait expedition of 1898; published 1900.
  2. Which branch dates language divergence from shared core vocabulary?
    Show answer
    Historical linguistics — Swadesh's glottochronology.
  3. Which non-parametric test replaces one-way ANOVA?
    Show answer
    Kruskal–Wallis — it compares three or more groups by ranks.
  4. A logistic coefficient is b = 0.693. What is the odds ratio?
    Show answer
    About 2 — e^0.693 ≈ 2, so the odds double per unit of X.
  5. Which excavation exposes a whole occupation level at once?
    Show answer
    Horizontal (open-area) excavation — vertical trenching gives the sequence.

Try it: Scope and Branches of Anthropology questions

Real questions from the NET Anthropology bank on exactly this skill. Pick an answer to see the full solution — the intuition, the worked steps, the faster methods and the traps.

  1. NET AnthropologyanthropologyQuestion 1 of 5

    The branch of philosophy that asks how we can know reality, and what counts as valid knowledge, is:

    Show the answer and worked solution

    Answer: option D

    Ontology asks what reality is, that is, what exists; epistemology asks how we can know it and what counts as valid knowledge.

    In research design, epistemological positions such as objectivism, constructionism and subjectivism shape the theoretical perspective a researcher adopts.

    So the branch concerned with knowing is epistemology, option D.

  2. NET AnthropologyanthropologyQuestion 2 of 5

    A researcher wants a systematic sample of 80 households from a village list of 2,400 households. Which selection rule should be applied after a random start?

    Show the answer and worked solution

    Answer: option C

    In systematic sampling the interval is k = N/n, the population size divided by the sample size.

    Here k = 2,400 ÷ 80 = 30, and the check 80 × 30 = 2,400 confirms it, so after a random start between 1 and 30 every 30th household is taken.

    So the rule is every 30th household, option C.

  3. NET AnthropologyanthropologyQuestion 3 of 5

    Participatory Rural Appraisal (PRA) differs from Rapid Rural Appraisal (RRA) chiefly in that PRA:

    Show the answer and worked solution

    Answer: option B

    Rapid Rural Appraisal, developed in the late 1970s and 1980s, let outsiders learn quickly through semi-structured interviews and observation, and was largely extractive.

    Participatory Rural Appraisal, associated with Robert Chambers, hands the analysis to local people through social and resource maps, transect walks, seasonal calendars and wealth ranking.

    So PRA differs by handing the mapping, ranking and analysis over to the community, option B.

  4. NET AnthropologyanthropologyQuestion 4 of 5

    In an illustrative sample, femur length X (cm) and stature Y (cm) give x̄ = 40, ȳ = 160, Σ(x − x̄)(y − ȳ) = 120 and Σ(x − x̄)² = 40. Using the least-squares line Y = a + bX, the predicted stature for a femur of 42 cm is:

    Show the answer and worked solution

    Answer: option A

    Slope: b = Σ(x − x̄)(y − ȳ)/Σ(x − x̄)² = 12040 = 3.0 cm of stature per cm of femur.

    Intercept: a = ȳ − b x̄ = 160 − 3.0 × 40 = 40, so the line is Y = 40 + 3.0X.

    Prediction: Y = 40 + 3.0 × 42 = 40 + 126 = 166.0 cm, and the check ȳ + b(42 − x̄) = 160 + 3.0 × 2 = 166.0 agrees.

    So the predicted stature is 166.0 cm, option A.

  5. NET AnthropologyanthropologyQuestion 5 of 5

    In a logistic regression of a binary outcome on a predictor X, the coefficient of X is b = 1.386. For each one-unit increase in X, the model implies that:

    Show the answer and worked solution

    Answer: option C

    Logistic regression models the log-odds, ln[p1−p] = b0 + b1X, so a one-unit rise in X adds b to the log-odds.

    Adding b to the log-odds multiplies the odds by eb, and e1.386 ≈ 4.0 because ln 4 = 2 × 0.693 = 1.386.

    So the odds of the outcome are multiplied by about 4, option C.

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