Skip to content
Observation and Self-Report Techniques
Psychology · Year 12 · Research Methods · 5.º Período

Observation and Self-Report Techniques

Exploring non-experimental methods of data collection. Students will design questionnaires, structure interviews, and plan observational studies while considering ethical guidelines.

TL;DR:Not all psychological questions can be answered with an experiment. This topic explores non-experimental methods: observations and self-reports (questionnaires and interviews). Students learn the nuances of designing effective surveys, the difference between structured and unstructured interviews, and the various ways to conduct observations, such as covert versus overt and participant versus non-participant.

National Curriculum Attainment TargetsAQA 4.2.3.3 Observational techniquesAQA 4.2.3.4 Self-report techniques

About This Topic

Not all psychological questions can be answered with an experiment. This topic explores non-experimental methods: observations and self-reports (questionnaires and interviews). Students learn the nuances of designing effective surveys, the difference between structured and unstructured interviews, and the various ways to conduct observations, such as covert versus overt and participant versus non-participant.

This area of the curriculum emphasises the importance of ethical guidelines and the challenge of maintaining objectivity. Students learn how to create coding systems for observations and how to avoid 'social desirability bias' in self-reports. These methods are vital for studying complex human behaviours that cannot be easily manipulated in a lab.

Students grasp this concept faster through structured discussion and peer explanation where they can critique each other's questionnaire designs and observational categories.

Key Questions

  1. How do open and closed questions affect the type of data collected?
  2. What are the ethical considerations when conducting a covert observation?
  3. How can researchers ensure their self-report measures are reliable?

Watch Out for These Misconceptions

Common MisconceptionQuestionnaires are always easier than experiments.

What to Teach Instead

Clarify that while they seem simple, designing a valid, unbiased questionnaire is very difficult. Having students try to 'fix' a badly worded survey helps them appreciate the skill involved in creating reliable self-report measures.

Common MisconceptionObservations are just 'watching people'.

What to Teach Instead

Emphasise that scientific observation requires a systematic method, including clear behavioural categories and a sampling technique (time or event sampling). Using a coding sheet during a practice observation helps students see the difference between 'watching' and 'measuring'.

Active Learning Ideas

See all activities

Frequently Asked Questions

What is the difference between open and closed questions?
Closed questions provide a fixed set of responses (e.g., Yes/No or a Likert scale), producing quantitative data that is easy to analyse. Open questions allow participants to answer in their own words, producing rich qualitative data that provides more depth and insight.
What are the ethical issues with covert observations?
Covert observations involve watching people without their knowledge. The main ethical concerns are the lack of informed consent and the potential invasion of privacy. Researchers must ensure the observation takes place in a public setting where people would expect to be seen.
How can researchers improve inter-observer reliability?
Reliability can be improved by clearly defining behavioural categories, training observers together, and having them observe the same event independently. They then correlate their results; a high positive correlation (usually +0.80 or above) indicates good reliability.
How can active learning help students understand self-report techniques?
Active learning, such as piloting their own questionnaires, allows students to experience the 'participant's perspective'. They quickly realise how a poorly phrased question can lead to confusion or biased answers. This first-hand experience makes them much better at evaluating the validity of self-report data in the studies they read.
Edited by Adriana Perusin, Editor-in-Chief, Flip Education