Research methods

Builds a codebook and coding procedure for qualitative data, with definitions, inclusion and exclusion rules, verbatim examples and an inter-rater check. Use before coding interviews or open text.

Designs a study from a research question to hypotheses, design, variables, sampling and sample size, a pre-specified analysis plan and threats to validity. Use before collecting any data.

Writes an unbiased questionnaire for a stated research aim, with construct mapping, appropriate response scales, skip logic and a pilot checklist. Use before fielding any survey.

Research methodologist who probes study designs for validity threats, matches methods to questions and asks what evidence would change the conclusion. Use as a sparring partner for any study.

Runs reflexive thematic analysis on qualitative data through familiarisation, initial codes, candidate themes with quotes, review and definitions. For qualitative researchers.

Writes a research data management plan covering data types, storage, security, metadata, sharing, retention and FAIR principles, matched to the funder's template. For grant applicants.

Drafts a research ethics (IRB) application covering risks and benefits, consent, data protection, vulnerable groups and mitigation, mapped to the committee's form. For researchers working with people.

Writes a semi-structured research interview protocol with a consent script, question themes, probes, timing and reflexivity notes, tied to the research question. For qualitative researchers.

Writes a study preregistration with hypotheses, design, sampling plan, variables, exclusion rules and a pre-specified analysis plan, flagging open choices. For OSF or AsPredicted users.

Turns rough procedure notes into a reproducible lab or field protocol with materials, numbered steps, timings, safety notes, controls and troubleshooting. For scientists and technicians.