Linear Mixed Model Results for Adjust-Target Task with FOV Effects

Results from a Linear Mixed Model analysis of an Adjust-Target task, with raw gain as the dependent variable. The table reports unstandardized regression coefficients for differences in the Field of View (FOV) and Sensory Condition fixed effects. The dataset was authored by Ambika Bansal and last updated on May 21, 2026.

Use Cases

• Analyzing the effect of Field of View (FOV) on raw gain in a sensory-motor task based on the reported regression coefficients.
• Comparing the influence of different Sensory Conditions on task performance based on the fixed effects mentioned in the description.
• Validating or replicating linear mixed model results for psychophysical experiments based on the Adjust-Target task structure.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Data is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

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

figshare

Collection Method

Results from a Linear Mixed Model analysis of an experimental Adjust-Target task.

Freshness

Last updated 2026-05-21 08:01:16; freshness should be verified.