Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Variables are scaled between 0 and 1 such that a text with a 0 score represents the lowest proportion of that variable.

More »

Fig 1 Expand

Fig 2.

Change scores for dependent variables.

Horizontal line at zero indicates no change. Plots represent Mean +/- 2*S.E.

More »

Fig 2 Expand

Table 1.

Results of one-sample t-tests on CORE-OM change scores for Study 1.

More »

Table 1 Expand

Fig 3.

Variable correlation table (*p < .01; ** p < .001; ***p < .0001).

More »

Fig 3 Expand

Fig 4.

Effects of arousal, dominance, valence, and concreteness on global distress change score in Study 1.

More »

Fig 4 Expand

Table 2.

Results of exploratory multilevel model selection procedure in Study 1.

More »

Table 2 Expand

Table 3.

Texts with VAD + C values and category designation in Study 2.

More »

Table 3 Expand

Table 4.

Results of independent samples t-tests on CORE-OM change scores for test and control conditions in Study 2.

More »

Table 4 Expand

Fig 5.

Predicted marginal means for the effect of book-themed and non-book-themed discussion on valence, arousal, dominance, and absolute words.

More »

Fig 5 Expand

Table 5.

Results of mixed linear models for absolute words, valence, arousal, and dominance regressed on genre (book related subreddit vs non-book-related subreddit) for Study 4.

More »

Table 5 Expand

Fig 6.

Two-sample Kolmogorov-Smirnov tests for differences in distribution shape significant at the p < .001 level (test statistics: 0.2, 0.17, 0.14).

More »

Fig 6 Expand

Fig 7.

Predicted marginal means for the probability of absolute words, valence, dominance, and arousal.

More »

Fig 7 Expand

Table 6.

Results of mixed linear models for absolute words, valence, arousal, and dominance regressed on category (best-seller vs literary award) for Study 5.

More »

Table 6 Expand