A Comparison of Peer Influence Estimates from SIENA Stochastic Actor-Based Models and from Conventional Regression Approaches

Autor/inn/en	Ragan, Daniel T.; Osgood, D. Wayne; Ramirez, Nayan G.; Moody, James; Gest, Scott D.
Titel	A Comparison of Peer Influence Estimates from SIENA Stochastic Actor-Based Models and from Conventional Regression Approaches
Quelle	In: Sociological Methods & Research, 51 (2022) 1, S.357-395 (39 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Ragan, Daniel T.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124119852369
Schlagwörter	Peer Influence; Social Networks; Network Analysis; Regression (Statistics); Statistical Analysis; Computation; Computer Software; Comparative Analysis; Adolescents; Friendship; Iowa; Pennsylvania + Suchen Sie Ihr Suchwort? Social network; Soziales Netzwerk; Netzplantechnik; Regression; Regressionsanalyse; Statistische Analyse; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Freundschaft
Abstract	The current study compares estimates of peer influence from an analytic approach that explicitly address network processes with those from traditional approaches that do not. Using longitudinal network data from the PROmoting School-community-university Partnerships to Enhance Resilience peers project, we obtain estimates of social influence on multiple outcomes from both conventional linear modeling approaches and the stochastic actor-based modeling approach of the simulation investigation for empirical network analysis (SIENA) software. Our findings indicate that peer influence estimates from SIENA are not more conservative relative to other methods, that each method is subject to omitted variable bias from stable individual differences, and that imprecision among each method could lead to erroneous conclusions in samples that lack sufficient power. Together, these results underscore the difficulty in obtaining estimates of peer influence from observational data, and they give no indication that results from conventional methods tend to be biased toward overestimating peer influence, relative to SIENA. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01