Visualisation of Forking Path Analysis CoScience

Per Carsten et. al 2024, RewP & P3 and Anhedonia

Here below select the Effect you want to plot.
You can use the first prompts to filter the selection.

Which ERP component do you want to explore?

Which Between Subjects Factor do you want to explore?

Which Within Subject Factor do you want to explore?

Which effect should be plotted?

Which variable should be plotted in the specification curve? All data will be sorted according to this.

Effect Size (Eta) p-Value Sample Size Average Epochs std. Estimate

Show another Variable for comparison?

None Effect Size (Eta) p-Value Sample Size Average Epochs std. Estimates

Here below select the Forking Steps of interest.
For each selection, the distribution of the different Choices is plotted.

Preprocessing Steps

Resampling

Reference_AC

Bad_Channels

Bad_ChannelsMax

LP_Filter_Early

HP_Filter

LineNoise_Filter

Select All

Epoching_AC

Detrending

Bad_Segments

Run_ICA

OccularCorrection

LP_Filter_Later

Bad_Epochs

Deselect All

Quantification Steps

Reference

Baseline

Trials_MinNumber

Cluster_Electrodes

Select All

Electrodes

TimeWindow

Quantification_ERP

Deselect All

Statistical Analysis Steps

Attention_Checks

Outliers_Personality

Covariate

Outliers_Threshold

Outliers_Treatment

Select All

Outliers_SME

Outliers_EEG

Normalize

Center

Deselect All

The red triangle highlights the main path that was
agreed on within the CoScience members.
Green dots indicate p < 0.05. Effect sizes were recoded to
include the direction of the effects according to hypotheses
(positive if in expected direction).