The social contagion of temporal discounting in small social networks

Cognitive Research: Principles and Implications

Table 1 Coefficient estimates of the path model displayed in Fig. 1

Dependent variable	Predictor	Path labeling (see Fig. 1)	Unstandardized coefficient (B)	Lower 95% CL	Upper 95% CL
Dyad XY (R² = .59)
	Ind X Pre	a	.30^a	.104	.665
	Ind Y Pre	b	.56^a	.339	.855
Ind X Post (R² = .80)
	Ind X Pre	–	.32^a	.163	.591
	Dyad XY	c	.76^a	.410	.972
Dyad YZ (R² = .25)
	Dyad XY	d	.35^a	.080	.811
	Ind Z Pre	e	.21	-.021	.592
Ind Y Post (R² = .81)
	Ind Y Pre	–	.47^a	.305	.748
		f	.64^a	.473	.779
Ind Z Post (R² = .78)
	Ind Z Pre	–	.52^a	.232	.800
	Dyad YZ	g	.65^a	.282	1.008

Paths labeled as “–” were not included in Fig. 1 for illustration purposes. CL confidence limit. Confidence limits were derived from 95% bias-corrected bootstrap confidience intervals based on 10,000 resamples. The significance of the path coefficients (^a) was based on whether the confidence interval included zero or not