Visualisation of Forking Path Analysis CoScience

Short et. al 2026, FAA - Participant & Experimenter Interaction

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

Which Trait/State/Rating do you want to explore?

Which Effect Type do you want to explore?

Which Participants do you want to explore?

What other variable do you want to control for?

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

Show another Variable for comparison?

None Effect Size p-Value Sample Size Average Epochs

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

Epoching_AC

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Detrending

Bad_Segments

Run_ICA

OccularCorrection

LP_Filter_Later

Epoching

Bad_Epochs

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Quantification Steps

Reference

FrequencyBand

Cluster_Electrodes

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Electrodes

MinimumData

Quantification_Asymmetry

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Statistical Analysis Steps

Attention_Checks

Outliers_Personality

Personality_Variable

Attractiveness

Covariate

Outliers_Threshold

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Outliers_Treatment

Outliers_SME

Outliers_EEG

Normalize

Center

Determine_Significance

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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).