Bayesian Repeated Measures Analysis for Executive Dysfunction Model

A 9.5 KB XLS file containing results from a Bayesian repeated measures analysis. The dataset, created by Soo Eun Chae, was last updated in April 2026. It presents statistical outcomes for a model investigating executive dysfunction.

Use Cases

• Analyze posterior distributions for model parameters related to executive dysfunction.
• Compare Bayesian model evidence or Bayes factors for different repeated measures model specifications.
• Extract credible intervals for fixed or random effects in the reported analysis.
• Validate Bayesian statistical methods against the reported results for executive function tasks.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File is small (9.5 KB), ensuring quick download and processing.

Limitations

• Extremely limited scope with only 9.5 KB of data, suggesting minimal content.
• No column names, row count, or sample data are provided, obscuring data structure.
• The dataset contains only analysis results, not the raw experimental data.

Provenance

Source

Soo Eun Chae via figshare.

Collection Method

Results from a performed Bayesian statistical analysis.

Freshness

Last updated in April 2026.