Linear Mixed Model Results for Move-To-Target Task Sensory Condition Differences

Ambika Bansal published a dataset containing results from a Linear Mixed Model analysis on May 21, 2026. The data originates from a Move-To-Target task, with raw gain as the dependent variable and FOV and Sensory Condition as fixed effects. The 5.5 KB XLS file reports unstandardized regression coefficients for differences in Sensory Condition.

Use Cases

• Compare the effect of different sensory conditions on motor task performance based on the reported regression coefficients.
• Validate or replicate linear mixed model analyses for psychophysical experiments based on the described task and variables.
• Examine the interaction between field of view (FOV) and sensory condition in a controlled task setting based on the described experimental design.

Strengths

• Dataset is small at 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

Ambika Bansal via figshare

Collection Method

Results from a Linear Mixed Model run on experimental task data.

Freshness

Last updated 2026-05-21 08:01:18; freshness should be verified.