group in an experiment
Let an agent explain groups in experimental design, describe treatment, control and other group types, relay principles of random assignment and comparison from methodology sources, and distinguish experimental groups from observational cohorts and statistical populations.
Bundle → Layer → Finding → Questions Filled
4 bundles · 8 layers · 8 findings · 16 questions
Understand What experimental groups are.
Definition
Definition and types.
Definition
Definition.
- What is a group in an experiment, and what types exist? definition
- Is the question about an experimental group, an observational cohort or a population? boundary
Assignment
Assignment.
Assignment
Assignment.
- How are participants assigned to groups, and why does randomisation matter? definition
- Which entry fits randomised controlled trial? action
Design Design and analysis.
Design
Design choices.
Design
Design.
- How are group sizes, matching, blinding and crossover designs chosen? provenance
- Which references are standard? provenance
Analysis
Analysis.
Analysis
Analysis.
- How are differences between groups analysed and reported? provenance
- Which entry fits statistical hypothesis testing? action
Ethics Ethics and reporting.
Ethics
Ethics.
Ethics
Ethics.
- What ethical rules govern control groups, placebos and consent? provenance
- Which sources are cited? provenance
Reporting
Reporting.
Reporting
Reporting.
- What do CONSORT and similar guidelines require about groups? provenance
- Which entry fits CONSORT? action
Context History and fields.
History
History.
History
History.
- How did controlled groups develop from Lind and Fisher to modern trials? provenance
- Which entry fits the history of experimental design? action
Fields
Across fields.
Fields
Fields.
- How do groups differ in medicine, psychology, agriculture and online experiments? provenance
- Which entry fits A/B testing? action
Classifiers Filled
- Family
- Thing Registry
- Category
- Cross-cutting context
- Entry kind
- thing
- Plane
- XCT
- Domain
- XCT.QTY
What it is Filled
A set of participants or units in an experiment that receive the same treatment or condition, such as a treatment group receiving an intervention and a control group receiving none or a placebo, with assignment ideally random, so that differences in outcomes between groups can be attributed to the treatment; groups are the units of comparison in experimental design and clinical trials, and related designs include matched groups, crossover arms and within-subject conditions.
Why it exists Filled
Let an agent explain groups in experimental design, describe treatment, control and other group types, relay principles of random assignment and comparison from methodology sources, and distinguish experimental groups from observational cohorts and statistical populations.
Distinguishing features Filled
- Shared condition
- Random assignment ideal
- Comparison basis
- Sample size and power
What robots and AI may and may not do Filled
Must not
- Change group allocation outside the protocol or reveal it where blinding applies.
- Enrol people in a group without informed consent.
- Withhold effective treatment from a control group where ethics require it.
- Report results selectively to favour one group.
Only with a human decision
- Unblinding or stopping an experiment early.
- Deciding the ethics of a placebo or no-treatment group.
May
- Assign units to groups by the randomisation plan and record allocation.
- Report group sizes, attrition and outcomes as specified in the protocol.
Moral aspects Filled
- People in control groups can be denied benefit; ethics review exists to weigh that.
- Manipulated group comparisons lead to wrong treatments for many.
Who is affected
- Participants
- Future patients
- Researchers
Owners Filled
Steward
The principal investigator, under an ethics committee's approval.
Master systems
- Clinical trial registries
Links to other meta-models Filled
parent
- Q2311577 - registry parent class
related
- sub-population - in registry terms
- experimental design - the study plan
- randomization - in randomised experiments
- control group - to estimate effects
What else AI and robots need to interact with it Filled
Identity and identifiers required Filled
- Vercy registry: vr.tr.group-in-an-experiment
- Wikidata: Q7836899 (https://www.wikidata.org/wiki/Q7836899)
Direct properties not applicable Not applicable
Not applicable
Plane XCT: no invented physical properties.
Recognition optional Filled
- Participants sharing a condition in an experiment
- Treatment, control, placebo, matched and crossover groups
- Observational cohorts are not assigned; a population is what groups are sampled from
- Not a visible object; sets of participants in a study design.
Capabilities and actions required Filled
- explain group types
- relay assignment and comparison principles
- describe designs
- distinguish from cohorts and populations
Hazards and failure modes required Filled
- Confounding from poor assignment
- Underpowered groups
- Confusing groups with cohorts
- Unblinded comparisons
Standards and interfaces required Filled
- CONSORT and other reporting guidelines for trials
- Research ethics rules on assignment and consent
- Statistical standards for sample size and analysis
Context of use required Filled
- Comparing conditions in experiments.
- treatment or experimental groups
- control groups including placebo and no-treatment
- active comparator groups
- matched and stratified groups
- crossover arms and within-subject conditions
- factorial design cells
Sources Filled
- Wikidata item Q7836899: group in an experiment - identity and sense of the item
- Wikipedia: Treatment and control groups - general description of the item
Open questions
- Should control group and treatment group be separate entries?
- How should methodology references be linked?
- How should within-subject designs be recorded?
Machine files
Provenance
thing registry research (pass 2) · unreviewed
Built from: models/things/publications/thing-q7836899/spec.json