Statistical results table
Test statistic, degrees of freedom, p-value, effect size, and confidence interval for each comparison.
CSVJSONPDF
← Capabilities
Built-in Statistical Comparisons
Statistical analysis without leaving the platform
T-tests, one-way ANOVA, post-hoc comparisons, and effect sizes (Cohen's d) computed directly from tracking results — no export to R, SPSS, or Prism required for standard analyses.
3
Test types (t-test, ANOVA, post-hoc)
Auto
Effect size calculation
Yes
Multiple comparison correction
Any
Applicable to all dependent variables
The problem
Basic group comparisons require exporting to external software
Even simple treatment-vs-control comparisons require exporting CSVs, importing into statistics software (R, SPSS, Prism), running tests, and copying results back. This adds hours to the workflow and creates version-control challenges.
- CSV export → statistics software → results is a multi-step pipeline for every comparison
- Analysis scripts diverge across lab members — different tests, different corrections
- Results are disconnected from the tracking data — no link between statistics and source recordings
The solution
Standard group statistics built into the results interface
Select groups, choose a dependent variable, and run a comparison. ConductVision performs the test, computes effect sizes, applies multiple comparison corrections, and reports results — all linked to the source tracking data.
- T-tests (independent, paired) and one-way ANOVA with Tukey post-hoc comparisons
- Automatic Cohen's d effect sizes for every comparison
- Bonferroni and Holm-Sidak multiple comparison corrections when comparing multiple DVs
Endpoints
Statistical outputs
Group comparison plots
Bar, box, or violin plots with individual data points, group means, and significance brackets.
SVGPNG
Analysis audit record
Complete record of which test was run, on which data, with which parameters — linked to source recordings for reproducibility.
JSON
Applications
Common comparison scenarios
Drug vs. vehicle comparison
Compare treated and control groups on any dependent variable with one click — p-value and effect size reported immediately.
Measures
- Group means
- p-value
- Cohen's d
Multi-dose ANOVA
One-way ANOVA across dose groups with post-hoc pairwise comparisons — identify the effective dose range.
Measures
- ANOVA F-statistic
- Post-hoc p-values
- Dose-response trend
Genotype phenotyping
Compare WT, heterozygous, and homozygous groups across all behavioral measures simultaneously.
Measures
- Genotype effect
- Per-measure significance
- Multiple comparison correction
Pre-post treatment comparison
Paired t-tests for within-subject comparisons across time points — baseline vs. treatment, pre vs. post.
Measures
- Paired difference
- Within-subject effect
- Change score
Compared to typical systems
How ConductVision differs
| Feature | ConductVision | Typical systems |
|---|---|---|
| Built-in statistics | T-test, ANOVA, post-hoc, effect sizes | Export to external software |
| Effect size reporting | Automatic Cohen's d | Manual calculation |
| Multiple comparison correction | Bonferroni, Holm-Sidak | Not included |
| Data-analysis link | Results linked to source recordings | Disconnected CSV files |
| Consistency | Same test, same parameters, every time | Varies by analyst |
Related capabilities
Automated Report and Figure Generation
One-click PDF reports with trajectory plots, heatmaps, and group comparisons.
Data Export and Analysis
Standard CSV/JSON export compatible with any statistical software or analysis pipeline.
Anxiety and Depression Index Scores
Composite behavioral indices with Z-score normalization across anxiety and depression test batteries.
Get p-values without leaving the platform
Select your groups and run a comparison — statistical results in seconds.
