Linear Mixed Model Results for Adjust-Target Task Sensory Condition Differences

Results from a Linear Mixed Model run on data from the Adjust-Target task with raw gain as the dependent variable. The model includes FOV and Sensory Condition as fixed effects, and this table reports unstandardized regression coefficients for differences in Sensory Condition. The dataset was authored by Ambika Bansal and last updated on May 21, 2026.

Use Cases

• Comparing the effect of different sensory conditions on raw gain based on the reported regression coefficients.
• Validating or replicating the statistical model for the Adjust-Target task.
• Incorporating the reported fixed-effect coefficients into a meta-analysis of psychophysical studies.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• License is CC-BY-4.0, permitting broad reuse with attribution.
• Specifics of the statistical model (Linear Mixed Model with raw gain as DV and FOV/Sensory Condition as fixed effects) are clearly stated.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Ambika Bansal via figshare

Collection Method

Results from a statistical model run on experimental task data.

Freshness

Last updated 2026-05-21 08:01:19; freshness should be verified.