Table 4:

Comparing and contrasting L-APIM and L-SNA for their suitability in addressing questions of peer influence.

	APIM	SNA
Level of Relevant Social Context(s)	-Dyadic level only	-Dyadic level -Network level
Type of Influence	-Relative behavioral change	-Behavioral change -Behavioral contagion -Behavioral convergence
The influential partner	-A single source of influence (i.e., target partner) -Differential patterns of influence (i.e., compliment vs. contrast patterns)	-Multiple sources of dyadic influence -Different types of influence assessed simultaneously (e.g., increase, decrease, stability, change, convergence, contagion) -Additional network features accounted for (e.g., structural features of the network do not bias influence estimates)
Design	-Dyadic	-Complete Social Network
Analytic Frameworks	-OLS Regression -SEM -MLM	-SIENA
Data Structure	-Dyadic data structure -Requires unique and stable social relationship dyads	-Social network data structure -Requires complete and stable (~65% overall participation) social networks
Follow-up Strategies	-ANOVA / ANCOVA -Intraclass correlations	-Ego-Alter Influence tables -Number of increasers or decreasers in the network -Moran’s I -Set direction of influence (creation or endowment)
Implications	-Influence occurring within dyads that effects the relative position of an individual within the dyadic subsample	-Influence occurring within a network that effects the relative position of dyads within a network relative to all other social network members