Data collection

  • Getting consent — participants must understand the study's purpose, risks, and their right to withdraw.
  • Prerequisites of consent — capacity and voluntariness; special care for vulnerable populations (children, clinical groups).
  • Debriefing — after participation, explain the true purpose, especially if deception was used, and offer to withdraw data.

Consent is both an ethical duty and a quality control.


Designing the "research experience"

  • In-lab participants — control the environment, build rapport, monitor attention.
  • Online participants — scalable and convenient (see the WEIRD caveat), but noisier.
  • When to collect data online? — online is fine for many behavioral tasks (e.g., the Stroop effect); use in-lab when environment control is essential.

Ensuring high-quality data

  • Conduct effective pilot studies — a small pilot reveals bugs and infeasible procedures before you commit resources.
  • Measure participant compliance — attention checks, response-time filters, and instruction-following checks catch careless data.
  • Keep consistent data-collection records — log who ran what, when, and how, so the dataset is interpretable later (see Project management).

Key terms

  • Informed consent — voluntary, informed agreement to participate.
  • Pilot study — a small test run before the full study.
  • Compliance — the degree to which participants followed procedures.

Further reading

Last updated: 2026-10-20

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