Features of science
Science is a way of gaining knowledge by testing ideas against evidence.
- Empiricism: knowledge comes from careful observation and measurement, not from opinion.
- Objectivity: the researcher keeps personal views out; standard, controlled methods are used.
- Replicability: others can repeat the study with the same method and get similar results.
- Falsifiability: a claim must be open to being proved wrong (Karl Popper). "Everything happens for a reason" cannot be tested, so it is not scientific.
- Theory construction and hypothesis testing: theories make predictions (hypotheses); tests support or refute them; theories are refined. This moves from general to specific (deduction).
Paradigms and paradigm shifts
Thomas Kuhn said a mature science has a paradigm: a shared set of assumptions and methods that most scientists in the field accept.
- Normal science: work goes on inside the paradigm, solving puzzles.
- Anomalies: results that do not fit build up.
- Paradigm shift: a scientific revolution replaces the old framework, as when the Sun replaced the Earth at the centre of the solar system.
Kuhn suggested psychology may be pre-paradigmatic, because it has several competing approaches (biological, behaviourist, cognitive and others) rather than one shared paradigm. Others argue the cognitive approach, or cognitive neuroscience, is close to one.
Peer review and reporting research
Peer review means experts in the same field check a study before it is published. They judge the method, the analysis and whether conclusions follow from the data. It filters out poor work, but it can be slow, reviewers may be biased against new ideas, and there is publication bias towards positive results.
A scientific report has standard sections:
- Abstract: a short summary (aim, method, results, conclusion) of about 150β200 words.
- Introduction: past research leading to the aims and hypotheses.
- Method: design, participants and sampling, materials, procedure and ethics, in enough detail to replicate.
- Results: descriptive statistics, graphs and inferential tests.
- Discussion: what the results mean, links to past research, limitations and ideas for future research.
- Referencing: full details of every source, in a standard format.
Types of validity and reliability
Validity means a study or test measures what it claims to measure, and results are genuine.
- Internal validity: the change in the dependent variable was caused by the independent variable, not by extraneous variables or demand characteristics.
- External validity: results generalise beyond the study. It includes ecological (to other settings), population (to other people) and temporal (to other times) validity.
- Face validity: a test looks, at first sight, like it measures the right thing.
- Concurrent validity: scores agree with an already trusted test taken at the same time (often a correlation above +0.80).
Reliability means consistency. Test-retest: the same person gets similar scores on two occasions. Inter-observer: two observers record the same behaviour in the same way (correlation above +0.80). A measure can be reliable but not valid, but it cannot be truly valid if it is unreliable.
Try it: test your own measure
Weigh a book on a kitchen or bathroom scale five times. Are the readings close together (reliable)? Then weigh something whose mass you know, like a 1 kg bag of rice. Is the scale right (valid)? Match your result to a target in the 3D free play.
Key formulas and definitions
- Science cycle: theory β hypothesis β test β data β refine theory
- Reliable = consistent; Valid = accurate (measures what it claims)
- Report: Abstract, Introduction, Method, Results, Discussion, References
- Good reliability/concurrent validity: correlation β₯ +0.80
Worked examples
1. A personality test gives a student very different scores one week apart. What is the problem?
Poor test-retest reliability: the test is not consistent over time.
2. A lab memory study uses lists of nonsense syllables. Why might it lack ecological validity?
Remembering nonsense syllables in a lab is unlike everyday memory, so results may not generalise to real-life settings.
3. A new anxiety questionnaire correlates +0.86 with an established one. What type of validity does this show?
Concurrent validity: it agrees with a trusted test taken at the same time.
Common mistakes
- Thinking science proves theories true. Evidence can only support a theory or falsify it.
- Mixing up reliability and validity. Consistent results can still be wrong.
- Saying a paradigm shift happens after one odd result. It needs many anomalies.
- Putting results interpretation in the results section. Interpretation belongs in the discussion.