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For further analyses, we collapsed the symptom variables into two groups of "not reported" and "reported at any severity".
Subsequently for the main statistical analyses, we collapsed the first three response options to 'light physical exertion', the fourth to 'moderate physical exertion' and the last three to 'strenuous physical exertion'.
Furthermore, in order to maximize trial numbers for the synchrony analyses, we collapsed the data across the levels of certainty used by the participants for their recognition judgments at test, meaning that we cannot conclusively link our results to recollection separately from familiarity.
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For our analyses we collapsed these subdivisions to define the movement only as an on- or off movement of cattle.
Therefore, in our subsequent primary analyses, we collapsed across the two conditions.
In the present analyses, we collapsed across such variables and modeled them all as a single effect coding for the difference between experimental trials and the fixation baseline.
For stratified analyses, we collapsed A1C categories ≥9.0% because of the small numbers of patients at that upper distribution of A1C.
3 Because there were no significant proposer effects and we had no a priori hypotheses regarding differential bodily responses as a function of proposer, for subsequent analyses, we collapsed across human and computer offers to increase the sample size available to analysis.
For multivariable analyses, we collapsed responses into a dichotomous variable with "no" comprising the responses never and somewhat infrequently, and "yes" comprising the responses frequent and very frequent.
For multivariable analyses, we collapsed responses into a dichotomous variable with "never" comprising the responses never, and "ever" comprising all other responses.
For analyses, we collapsed hand washing into two categories: ≤ 8 times/day (low) and > 8 times/day (frequent), with the categorization determined based on the distribution of responses.
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