Basics & philosophy
Literature review
Design, access & ethics
Sampling & secondary data
Primary data: observation, interviews, questionnaires
100

Which source must you never cite in your studies?


Wikipedia


100

Peer-reviewed, formally published literature is called


White literature


100

Research purpose that establishes causal relationships


Explanatory


100

Collecting data from every member of the population


Census


100

People studied through observation are called…


Informants


200

Assumptions about the nature of reality


Ontology



200

Organise your review by ___, not by author


Theme


200

The p-value threshold at which a hypothesis is usually accepted


p ≤ 0.05


200

Minimum sample size for ±5% at 95% confidence with a large population


384


200

Ethnography of online communities


Netnography


300

Philosophy of the natural scientist: observable facts, law-like generalisations


Positivism


300

Following reference lists backwards to earlier work


Snowballing


300

Mixed-methods design: quantitative first, then qualitative


Sequential explanatory


300

Sampling where participants refer the next participants


Snowball sampling


300

Interview with no predetermined themes, where the participant leads


In-depth (unstructured) interview


400

A tentative "if…then" prediction used in quantitative research


Hypothesis


400

Acronym for framing systematic review questions (Context, Intervention, Mechanisms, Outcome)


CIMO


400

Level of access where participants trust you enough to give data


Cognitive access


400

The point when new interviews bring no new themes


Data saturation

400

Statistic for internal consistency of a scale, ideally ≥ 0.70


Cronbach's alpha


500

Approach that starts from a surprising fact and moves between data and theory (Sherlock Holmes' real method)


Abduction


500

Drafting tool with themes as columns and one row per source


Thematic Analysis Grid


500

Ethical view that judges conduct by its consequences


Teleological


500

What do the FAIR data principles stand for?


Findable, Accessible, Interoperable, Reusable


500

What's wrong with "How satisfied are you with your pay and working conditions?"


Double-barrelled question