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156313 https://hdl.handle.net/2286/R.I.49170 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2018 x, 151 pages : illustrations Doctoral Dissertation Academic theses Text eng Stein, James Mongeau, Paul A. Guerrero, Laura Dumka, Larry Arizona State University Partial requirement for: Ph.D., Arizona State University, 2018 Includes bibliographical references (pages 127-137) Field of study: Communication studies Relational turbulence theory (RTT) has primarily explored the effects of relational uncertainty and partner interdependence on relational outcomes. While robust, the theory fails to account for uncertainties and perceived interdependence stemming from extra-dyadic factors (such as partners’ social networks). Thus, this dissertation had two primary goals. First, scales indexing measures of social network-based relational uncertainty (i.e., network uncertainty) and social network interdependence are tested for convergent and divergent validity. Second, measurements of network uncertainty and interdependence are tested alongside measures featured in RTT to explore predictive validity. Results confirmed both measurements and demonstrated numerous significant relationships for turbulence variables. Discussions of theoretical applications and future directions are offered. Communication Social networks Structural equation modeling Turbulence uncertainty Social networks Interpersonal relations Interpersonal conflict Incorporating social network variables into relational turbulence theory: popping the dyadic bubble