Figure 1.
A) Mean probe ratings. *** indicates t-tests with p values<.001. B) Scree Plot from the PCA, showing the Eigen values of the 7 components obtained. The first three components explained almost 70% of the overall variance in our data. C) Heatmap of the 3 Principal Components, showing the component loadings for each question. The Socio-temporal Past Other Component (ST-PO) weighted positively on Off-task, Other and Past ratings, and marginally on Future ratings. The Affect Component positively weighted on Negative ratings and negatively on Positive ratings (i.e. high scores on this factor reflect more negative SGT). Finally, the ST Future and Self Component (ST-FS) weighted positively on Self, Future and Off-task ratings.
Figure 2.
Relation between Off-task ratings and Mood.
A ) Predicting t1 Mood from t0 Off-task ratings. When t0 Mood was high (right panel), t0 off-task focus was linked to a decrease in t1 Mood. Data was plotted following a median split on t0 Mood. B) Predicting t1 Off-task ratings from t0 Mood. Negative mood at t0 was linked to an increase in t1 Off-task, but only when t0 Off-task ratings were low (left panel). Data was plotted following a median split on t0 Off-task. Thick black lines represent best-fitting linear regressions and gray ribbons represent 95% confidence intervals.
Figure 3.
Effect of previous thought content on mood.
A ) Main effects. All three thought components at t0 significantly predicted t1 Mood. Increase in t0 ST-PO was linked to a decrease in t1 Mood (left). Increase in t0 positive thoughts was linked to an increase in t1 Mood (middle). Please note that for purpose of display, the Affect Component was reversed so that higher values indicate more positive thoughts. Finally, an increase in t0 ST-FS was linked to an increase in t1 Mood (right). B), Interaction between ST-PO and Affect Content. Especially when thoughts were positive, t0 ST-PO was associated with a decrease in t1 Mood. Data was plotted following a median split on t0 Affect Component. C). Interaction between ST-FS and Affect Content. Especially when thought content was negative, t0 ST-FS was associated with an increase in t1 Mood. Thick black lines represent best-fitting linear regressions and gray ribbons represent 95% confidence intervals.
Table 1.
Results of the LMM lag-analysis predicting t1 Mood from t0 Off-task.
Table 2.
Results of the LMM lag-analysis predicting t1 Off-task from t0 Mood.
Table 3.
Results of the LMM lag-analysis predicting t1 Mood from t0 SGT components.
Table 4.
Pearson's correlations between t0 Affect Component and mood measures.