Slot: variation_level¶
Whether this term moves within a participant or only across the sample. Populate it for any term: a repeated-measures factor is within-subject and a diagnosis factor is between-subject in exactly the sense a trial-wise modulator and an age covariate are.
For a continuous term it is what separates a parametric modulation from a cross-subject regression, and the derived kind of any effect testing it reads this on that basis. For a categorical factor it feeds no derivation, so setting it changes no other value; it is the factor's scope, and two studies that crossed a factor within participants and between them did not estimate the same thing.
A categorical factor's levels usually settle it, and the two should agree: levels naming groups are between-subject, since a participant belongs to one cohort; levels naming timepoints are within-subject, since an occasion is when the same people were measured again; levels naming conditions are within-subject in the ordinary repeated-measures case; levels naming arms follow StudyDesign.assignment_structure, crossover being within and parallel between.
A level the vocabulary cannot name is written here as free text; the derived kind then cannot choose between a modulation and a regression, so it is undetermined for that record rather than wrong.
URI: neurostudy_ex:variation_level
Applicable Classes¶
| Name | Description | Modifies Slot |
|---|---|---|
| ModelTerm | One term of the model: a column of the design matrix, or the equivalent predi... | no |
Properties¶
Type and Range¶
| Property | Value |
|---|---|
| Range | ExtractedVariationLevel |
| Domain Of | ModelTerm |
| ### Slot Characteristics |
| Property | Value |
|---|---|
| Owner | ModelTerm |
Identifier and Mapping Information¶
Schema Source¶
- from schema: https://neurostuff.org/schemas/neuroimaging-study-extraction
Mappings¶
| Mapping Type | Mapped Value |
|---|---|
| self | neurostudy_ex:variation_level |
| native | neurostudy_ex:variation_level |
LinkML Source¶
name: variation_level
description: 'Whether this term moves within a participant or only across the sample.
Populate it for **any** term: a repeated-measures factor is within-subject and a
diagnosis factor is between-subject in exactly the sense a trial-wise modulator
and an age covariate are.
For a continuous term it is what separates a parametric modulation from a cross-subject
regression, and the derived kind of any effect testing it reads this on that basis.
For a categorical factor it feeds no derivation, so setting it changes no other
value; it is the factor''s scope, and two studies that crossed a factor within participants
and between them did not estimate the same thing.
A categorical factor''s levels usually settle it, and the two should agree: levels
naming `groups` are between-subject, since a participant belongs to one cohort;
levels naming `timepoints` are within-subject, since an occasion is when the same
people were measured again; levels naming `conditions` are within-subject in the
ordinary repeated-measures case; levels naming `arms` follow `StudyDesign.assignment_structure`,
crossover being within and parallel between.
A level the vocabulary cannot name is written here as free text; the derived kind
then cannot choose between a modulation and a regression, so it is undetermined
for that record rather than wrong.'
from_schema: https://neurostuff.org/schemas/neuroimaging-study-extraction
rank: 1000
owner: ModelTerm
domain_of:
- ModelTerm
range: ExtractedVariationLevel