Page 144 - Demo

Chapter 5142Table 2. Estimated Slope of the Linear Relation Between Autistic Traits and Emotion Recognition by Emotion Category, and Results of the Slope Comparisons against Zero Estimated slope [SE] 95% CI z-ratio p-valueEmotion categoryAngry -0.30 [0.11] -0.58, -0.02 -2.78 .027Fearful 0.02 [0.13] -0.31, 0.36 0.18 1Happy -0.03 [0.21] -0.57, 0.51 -0.16 1Sad -0.02 [0.10] -0.28, 0.24 -0.18 1Neutral 0.14 [0.11] -0.15, 0.43 1.22 .895Note. Confidence intervals are adjusted for multiple comparisons using the Bonferroni-method, and p-values are adjusted using the Holm-method. Exploratory AnalysesIn the model with Perceived emotional intensity as an outcome, we did not find an effect of Autistic traits (neither as main effect nor as interaction with Emotion category). While the interaction between Trait interoceptive accuracy and Emotion category was significant (see Figure 4C), F(4,4786) = 3.28, p = .011, the slope of the relations between Trait interoceptive accuracy and Perceived emotional intensitywas not significantly different from 0 for any level of Emotion category (see Table S7 in the Supplemental Materials). Furthermore, we observed both a significant effect of the predictor Interoceptive sensibility, F(1,93) = 4.01 p = .048, as well as a significant interaction between Emotion category and Interoceptive sensibility, F(4,4786) = 3.28, p = .011, in predicting Perceived emotional intensity. The slope comparisons by Emotion category revealed that both neutral and sad expressions were perceived as more emotionally intense with higher Interoceptive sensibility: The slope for sad expressions was 0.14, 95% CL [0.00, 0.27], t(145) = 2.65, p = .036, and the slope for neutral expressions was 0.14, 95% CL [0.01, 0.28], t(145) = 2.81, p= .027 (see Figure 5A). Similar to the main analysis, excluding Alexithymia did not change the outcomes in a meaningful way. The complete model fits, including effects that are unrelated to our predictors of interest, can be found in Tables S6 and S8 in the Supplemental Materials.In the Bayesian LMM with Confidence in emotion recognition as outcome, estimated slopes at three points of the Autistic traits distribution were not robustly different from zero across and within the emotional expression categories (see Table S9 in the Supplemental Materials for all slope comparisons). This suggests that Confidence in emotion recognition might not be affected by autistic trait levels.