Figure 4: Mean WPS for autistic and non-autistic participants relative
to age (in bins of 10 years).
We conducted an ANCOVA on the mean WPS with group as a between subjects
variable and age as a covariate. The ANCOVA yielded no significant
effect of group (F (1,865)=0.227, p =.634) or age
(F (1,865), p =.053) on the WPS.
Rapid temporal recalibration. To measure rapid temporal
recalibration, we excluded the first trial and split the rest into two
categories: those following trials with either a -500 or -260 ms SOA
(audition leads), and those following trials with a 260 or 500 ms SOA
(vision leads). We then fit Gaussian functions (as described previously)
to each modality order condition (see Figure 5a) and calculated the mean
PSS by identifying the SOA at which each function reaches its peak.
Rapid temporal recalibration was quantified as the difference in mean
PSS between categories (i.e. PSS audition leads-PSS vision leads; see
also (Van der Burg et al., 2013, 2018). Note that one participant was
excluded due to fitting issues.
Accordingly, Figure 5a reflects the mean proportion of synchrony
responses as a function of SOA for each previous modality order and
group (collapsed across congruency conditions). Figure 5b reflects the
mean PSS derived from these synchrony distributions according to group
and previous modality order. Figure 5c shows the Δ PSS (i.e., rapid
temporal recalibration) as a function of age (in bins of 10 years) for
each group.