This case study reports on a structural equation modeling approach using secondary data analysis. The research investigates how parents, peers, and romantic partners influence adolescent and young adult friendship quality. The benefits and limitations of secondary data analysis are discussed. Statistical assumptions of structural equation modeling and the application of the method are reviewed. Structural equation modeling is particularly useful for my research study because of the advantages of the confirmatory nature of hypotheses testing and the simultaneous estimation of a series of regression equations. Multiple relationships were evaluated between the adolescent/young adult and his or her mother, father, close friend, and romantic partner. Evidence suggests that social connectedness and social support from various ties contributes to rewarding friendships. Recommendations for the use of structural equation modeling and for publishing results are included as part of this report.