Jennifer Brown Urban

On February 1, 2019, Boy Scouts of America officially accepted girls into its signature program (ages 11–18) and changed its name to Scouts BSA. This historic shift provided a novel opportunity for researchers to investigate the experiences of some of the first 13 girls to enter this traditionally all-boy space and examine how participation influenced sense of self and purpose. A qualitative phenomenological approach was adopted to explore girls’ experiences and perceptions and meanings they constructed, using secondary data consisting of 38 transcribed interviews from all 13 girls. Girls ranged in age from 12–18 years old (M = 13.72, SD = 1.51), were mostly white (84.6%), and came from predominantly upper middle-income households (69.2%). Our analysis revealed expanded sense of self and empowerment to be the essences of girls’ experiences in Scouts BSA, which contributed to identity and purpose development. Subthemes included feelings of competence and confidence, embracing “boy activities,” and focus on rank advancement.

Despite a heightened emphasis on building evaluation capacity and evaluation quality, there is a lack of tools available to identify high-quality evaluation. In the context of testing the Systems Evaluation Protocol (SEP), quantitative rubrics were designed and tested to assess the quality of evaluation plans and models. Interview data were also collected and analyzed using a priori codes. A mixed methods approach was used to synthesize quantitative and qualitative data and explore trends. Consistencies between data types were found for attitude and capacity, and disconnects were found for knowledge, cyberinfrastructure, time, and quality. This approach to data integration represents a novel way to tap the generative potential of divergence that arises when different methods produce contradictory results.

Developmental science theorists fully acknowledge the wide array of complex interactions among biology, behavior, and environment that together give rise to development. However, despite this conceptual understanding of development as a system, developmental science has not fully applied analytic methods commensurate with this systems perspective. This article provides a brief introduction to systems science, an approach to problem solving that involves the use of methods especially equipped to handle complex relationships and their evolution over time. In addition, a rationale is provided for why and how these methods can serve the needs of the developmental science research community.

Extracurricular activities provide a key context for youth development, and participation has been linked with positive developmental outcomes. Using data from the 4-H Study of Positive Youth Development (PYD), this study explored how the intentional self regulation ability of youth interacted with participation in extracurricular activities to affect PYD among adolescents living in neighborhoods with relatively low ecological assets. In total, 545 youth were included in the study (50.3% female). Most of the youth were European American (41%) or Latino (37%; African American, 10%; Asian American, 7%; Native American, 4%; and other, 1%). In general, youth with the greatest capacity to self regulate benefitted the most, as compared to their peers with less capacity to self regulate, from involvement in extracurricular activities. Consistent with a developmental systems perspective, and specifically with bioecological theory, the findings from this study confirmed that, within lower asset settings, children with the most positive person-level factors (intentional self regulation) benefit the most from proximal processes such as extracurricular activity involvement.

Program evaluation and planning is at the heart of efforts to integrate the domains of practice and research. Traditionally, research and practice have operated in independent spheres with practitioners focused on the implementation of programs that affect individual behavior and researchers focused on the development and testing of theory. Evidence-based practice (EBP), practice-based evidence, and translational research have attempted to unite these worlds, and although significant advances have been made, there is a continued need to find mechanisms that enable a seamless connection between knowledge generation and application. We propose a method that builds on the traditions of theory-driven evaluation, logic modeling, and systems science and uses evaluation and program planning as the bridging mechanism between research and practice. Included in this approach are methods that aid in the explicit expression of implicit theories, management of evaluation resources, and linkage of program theory and evaluation measures to a research evidence base.