Human Sciences — Study Guide

Reference
Human Sciences
Essential concepts, examples, and vocabulary for the Human Sciences unit. Covers scope, methods, perspectives, and bias.

Use this as a review reference for the Sciences major essay. These are topics and examples you may wish to use in your essay.


Scope: What Counts as a Human Science?

Systematic, empirical study of human behaviour and society.

Core disciplines: psychology, economics, sociology, anthropology.

Some fields that sound scientific do not qualify in TOK:

  • Political science ≠ politics — political science is a human science; politics is not
  • World Religions — not a science
  • Business Management — borderline case

The defining contrast with natural sciences: human sciences study things that depend on human agreement. The natural world (hydrogen, gravity) would exist without humans. The subject matter of the human sciences — money, marriage, borders — would not.


The Observer Effect

The act of observation changes what is being observed. This is central to the human sciences in a way it is not in the natural sciences.

Variant Definition
Observer effect (general) Being observed changes behaviour
Hawthorne effect Workers at the Hawthorne Works produced more whenever they were observed, regardless of what conditions were changed
Goodhart’s paradox When a measure becomes a target, it ceases to be a good measure
Probe effect The instrument used to measure something disturbs the thing being measured
Observer expectation effect The researcher’s expectations influence how they interpret what they observe

Social Facts

John Searle’s concept: some things exist only because people collectively agree they do.

Examples: money has value, marriage exists as a legal institution, countries have borders.

Social facts are different from natural facts — the boiling point of water does not depend on anyone’s agreement.


Psychology: Controlled Experiments

Peterson & Peterson (1959) — classic short-term memory experiment: - Participants were given a 3-letter sequence, then asked to count backward by threes (to prevent rehearsal) - Memory decays rapidly: most is forgotten within 18 seconds without rehearsal - Illustrates the use of a controlled lab setting (“simplified replica”)

Atkinson-Shiffrin model of memory: sensory store → short-term memory → long-term memory

Ecological validity: does a lab finding reflect what actually happens in real life? Lab experiments gain control but lose ecological validity.


Economics: Models

Circular flow of income — simplified model showing money moving between households and firms; exports/imports and government can be added

MONIAC (1949) — a physical, hydraulic machine built by Bill Phillips modelling the UK economy using water flows; tanks and pipes represented different economic sectors

Kahneman and Tversky — founders of behavioral economics; showed that human economic decisions are systematically irrational: - Prospect theory — people are risk-averse when facing gains but risk-seeking when facing losses (e.g., the $100 certain vs. coin flip for $400 example) - Availability heuristic — we overestimate the likelihood of things that come easily to mind (gun crime vs. respiratory disease deaths)

The tension: classical economics assumes rational actors; behavioral economics shows people are predictably irrational.


Sociology: Surveys, Questionnaires, Interviews

Method Description
Survey Uses a fixed scale (e.g., Likert 1–5); produces quantitative data
Questionnaire Open-ended written questions; richer but harder to analyse
Structured interview Same questions for all respondents; easy to compare
Semi-structured interview Core questions fixed, follow-ups flexible
Unstructured interview Interviewer-led; flexible, but more prone to researcher bias
Focus group Group interview around a shared characteristic

Leading questions — questions that imply an answer or assume a fact; undermine validity.

Qualitative vs. quantitative: qualitative methods produce rich text-based data; quantitative methods produce numerical data amenable to statistical analysis.


Anthropology: Participant Observation

Participant observation — the researcher embeds themselves in the group they are studying.

Non-participant observation — researcher observes from a distance: - Overt: subjects know they are being observed - Covert: subjects are unaware; raises ethical concerns

Margaret Mead — studied adolescence in Samoan girls; later criticised by Derek Freeman, who argued she had let her acceptance into the community cloud her judgment and that subjects had fabricated their accounts.

Robin Nagle — spent years working for the NYC Department of Sanitation to study trash culture from the inside. Example of deep participant observation that humanised overlooked workers and revealed inequalities in the city’s waste infrastructure.

Challenge: becoming part of the group can undermine objectivity.

Method Strength Limitation
Participant observation Very detailed, hands-on knowledge from the point of view of a participant Tension between being a participant (perspectival) and an observer (supposedly neutral)
Non-participant observation Reduces the effect observation has on subjects’ behaviour Ethical concerns around covert observation
Case study Rich data; ecologically valid; allows triangulation Cannot be generalised; difficult to replicate

Bias vs. Perspective

This distinction is central to the unit and frequently confused in TOK essays.

Bias — a systematic distortion of the truth. There must be a truth from which the knower deviates consistently.

Perspective — a point of view. Different perspectives can all be valid; having a perspective does not mean anything is distorted.

“Often, students write ‘bias’ when they mean ‘perspective’. Save ‘bias’ for situations where there is a clear truth of the matter and a knower deviates systematically from it.”

Researcher biases:

Bias Description
Confirmation bias Seeking or interpreting evidence to confirm a preexisting belief
P-hacking Manipulating data collection or analysis to achieve statistical significance
Funding bias Pressure from a funding source to publish only favourable results
Publication bias Journals prefer to publish positive results; negative results are underreported
Selection bias A sample with systematic characteristics that make it unrepresentative

Participant biases:

Bias Description
Expectancy effect Participant responds in a way they think the researcher wants
Screw-you effect Participant acts against the researcher’s hypothesis to sabotage results
Social desirability effect Participant responds in a “socially acceptable” way rather than honestly
Observer effect (reactivity) Participant behaves differently because they know they are being observed

Key Vocabulary

Term Definition
Ecological validity How well a study reflects real-life conditions
Random sampling Every member of the population has an equal chance of being selected
Stratified sampling Sample built to match the demographic profile of a population
Triangulation Using multiple methods to cross-check findings
Replication Repeating a study to verify results
Double-blind Neither researcher nor participant knows who is in which condition
Reflexivity Researcher reflects critically on how their own position shapes their work
Inductive generalisation A general claim supported by statistical evidence
Social fact Something that exists only because people collectively agree it does
Participant observer A researcher who embeds themselves in the group they are studying
For the TOK Essay

When writing about the human sciences, use examples from your DP subjects (psychology, economics, sociology). Anthropology can be treated like history in TOK — it is culture-specific and its findings are hard to generalise. The observer effect and the lack of a universal method are the two most productive angles for comparing the human sciences to the natural sciences.