Table 1.

Logistic regression model that predicts preservation of words in the story retelling task (Study 1)

Fixed effects	Odds ratios	95% CI	P
(Intercept)	0.39	0.30 to 0.50	$<0.001$
Age of acquisition	0.98	0.97 to 0.98	$<0.001$
Valence	1.00	0.99 to 1.00	0.568
Arousal	1.17	1.16 to 1.18	$<0.001$
Concreteness	1.45	1.44 to 1.73	$<0.001$
Emotionality	1.55	1.39 to 1.73	$<0.001$
Length	1.05	1.04 to 1.06	$<0.001$
Word count	1.71	1.70 to 1.73	$<0.001$
Log frequency	1.05	1.04 to 1.06	$<0.001$
Iteration	1.34	1.29 to 1.40	$<0.001$
Random effects	Variance	SD	Number
Story ID	0.23	0.48	9265
Individual ID	0.49	0.7	6126
Grammatical category	0.10	0.31	9
Emotion category	0.01	0.09	5
Observations		537,055
Marginal $R^2$		11.7%
Conditional $R^2$		29.6%

Note: All variables (except iteration) are scaled and centered. Word count refers to number of times a word appears in the input story. Iteration refers to the position of the stories in the diffusion chain.