Abstract: Community Resilience from Early Childhood to Adolescence: Profiles, Transitions, and Patterns of Change (Society for Social Work and Research 31st Annual Conference)

368P Community Resilience from Early Childhood to Adolescence: Profiles, Transitions, and Patterns of Change

Schedule:
Friday, January 22, 2027
Continental 1-4 (Hilton San Francisco Union Square)
* noted as presenting author
Fei Pei, PhD, Assistant Professor, Syracuse University, Syracuse, NY
Xiaomei Li, PhD, Assistant Professor, University of Houston, Houston, TX
Dalhee Yoon, PhD, Assistant Professor, Binghamton University-State University of New York, Binghamton, NY
Kathryn Maguire-Jack, PhD, Professor, University of Michigan, Ann Arbor, MI
Susan Yoon, PhD, Associate Professor, The Ohio State University, OH
Yvonne Smith, PhD, Associate Professor, Syracuse University, Syracuse, NY
Background Community and neighborhood environments are critical determinants of child development, yet most studies treat neighborhood conditions as static or rely on single indicators. Limited empirical evidence exists regarding how multidimensional community resilience profiles change over time and how families transition between different community types across childhood. This study asks: (1) What are the distinct profiles of community resilience at child ages 5, 9, and 15? (2) How do families transition between community resilience profiles from early childhood to adolescence, and what patterns of stability and change emerge?

Methods This study uses data from the Fragile Families and Child Wellbeing Study (FFCWS), a longitudinal birth cohort study following families from 20 U.S. cities (N = 4,448). Community resilience was measured at child ages 5, 9, and 15 using 10 standardized indicators spanning four domains: economic development (business activity, employment, public assistance, poverty level), collective efficacy (social connectedness, social cohesion), physical infrastructure (block conditions, external environment), and community safety (total crime rate, exposure to violence). Latent Profile Analysis (LPA) identified community resilience profiles at each wave, and a 3-class × 3-class × 3-class Latent Transition Analysis (LTA) estimated using MLR examined transitions across waves. Measurement invariance was tested using Satorra-Bentler likelihood ratio tests; full invariance was rejected (TRd = 796.39, df = 60, p < .001), and partial invariance was adopted with one indicator (exposure to violence at Y15) freed across classes. The final model had 77 free parameters with overall entropy of 0.814.

Results A 3-class solution was selected at each wave based on BIC, VLMR-LRT, BLRT, entropy, and substantive interpretability. The final LTA model (LL = −123,683.98; AIC = 247,521.96; BIC = 248,014.78; entropy = 0.814) revealed three distinct community resilience profiles consistently across waves: (1) Economy-Led Resourced (51.4% at Y5, 53.1% at Y9, 49.5% at Y15), characterized by positive scores across all four domains with particularly high economic development indicators; (2) Socially Connected, Economically Constrained (14.1%, 13.3%, 11.4%), showing severely depressed economic indicators but relatively stronger community bonds and safety; and (3) Consistently Moderate-Low (34.5%, 33.6%, 39.1%), uniformly below average across all domains. Transition probabilities revealed asymmetric mobility patterns. The Economy-Led Resourced class was most stable (87.7% retention from Y5 to Y9; 80.4% from Y9 to Y15), while the Connected/Constrained class showed the least stability (61.0% at Y5–Y9; 42.1% at Y9–Y15), with the dominant exit pathway into the Moderate-Low class (24.9% at Y5–Y9, accelerating to 47.0% at Y9–Y15). Notably, upward movement from Connected/Constrained to Economy-Led Resourced was rare (14.1% at Y5–Y9; 10.9% at Y9–Y15), while downward movement from Economy-Led Resourced to Moderate-Low was more common (10.7% at Y5–Y9; 17.9% at Y9–Y15).

Conclusions and Implications This study reveals that community resilience is dynamic across childhood, with asymmetric transition patterns favoring downward rather than upward mobility. The finding that socially connected but economically constrained communities increasingly transition to moderate-low rather than high resilience suggests a "ceiling effect" on community improvement. These results underscore the need for sustained, place-based interventions that prevent community deterioration and support upward transitions in community resilience.