Context and Implications

Adolescents typically like school less after making age-graded school transitions. Stage-environment fit theory (Eccles & Midgley, 1989) attributes this to a mismatch between developmental needs and new school environments. Our in vivo study provides a basis for future quantitative designs by uncovering the most prevalent stage-environment interactions in adolescents’ descriptions about school. Across one school year, adolescents discussed their emotional and motivational engagement. Emotional engagement (i.e., liking) was mainly based on adolescents’ emotions interacting with their daily experiences of teachers, peers, and lessons. In comparison, motivational engagement (i.e., value) was attributed to distal interactions between the self-concept and school as a gateway to friendships and a career. Because unique stage-environment interactions occurred for each engagement type and adolescents felt simultaneously engaged and disengaged, we recommend finer grained analyses of measured engagement. Finally, we argue for discerning time periods of preparing for, encountering, and adapting to new environments in stage-environment fit models, in our proposed model of transition phase psychology.

The classification by many scholars of numerical research processes as quantitative and other research techniques as qualitative has prompted the construction of a third category, that of 'mixed methods', to describe studies that use elements from both processes. Such labels might be helpful in structuring our understanding of phenomena. But they can also inhibit our activities when they serve as inaccurate or limiting descriptors. Based on the observation that mixed methods is fast becoming a common research approach in the social sciences, this paper questions whether the assumptions that are used and perpetuated by mixed methods are valid. The paper calls for a critical change in how we perceive research, in order to better describe actual research processes. A more ethological taxonomy of the mechanisms underlying research structures and processes is posited to encourage creative thinking around alternatives to the three purported paradigms of quantitative, qualitative and mixed methods. This 'return to basics' seeks to encourage new and innovative research designs to emerge, and suggests a rebirth of research from the ashes of mixed methods.

Underpinned by stage-environment fit and job demands-resources theories, this study examined how adolescents' anxiety, depressive symptoms, and positive functioning developed as they transferred from comprehensive school to further education, employment or training, or became NEET (not in education, employment, or training), at age 16 years, in the longitudinal English national cohort study Next Steps (N = 13,342). Controlling for childhood achievement, socioeconomic status, ethnicity, and gender, we found that NEET adolescents had the largest losses in mental health. This pattern was similar to adolescents staying on at school who had increased anxiety and depression, and decreased positive functioning, after transition. In comparison, adolescents transferring to full-time work, apprenticeships, or vocational college experienced gains in mental health.

Physical activity (PA) decreases with age. The school transition is noted for significant changes in PA behaviour. Motor competence (MC), health-related fitness (HRF), and perceived competence (PC) are generally positively associated with PA. The aim of this study was to examine longitudinal cross-lagged relationships between PA, MC, HRF, and PC across the school transition from final year of primary school to first year of second-level school in Irish youth. PA (accelerometery), object-control and locomotor MC (TGMD-III), PC (perceived athletic competence subscale of the Self-Perception Profile for Adolescents), and HRF (20 m shuttle run, horizontal jump, vertical jump, push-ups, curl-ups) were measured in final year of primary school (6th class) and first year of second-level school (1st year). In the sixth class, 261 participants (53% female; mean age 12.22 ± 0.48 years) were tested. In first year, 291 participants (48% female; mean age: 13.20 ± 0.39 years) were tested. In total, 220 participants were involved in the study at both timepoints. Cross-lagged regression in AMOS23, using full information maximum likelihood estimation, was conducted to test reciprocal and predictive pathways between variables. The full cross-lagged model showed acceptable fit (χ2 = 69.12, df = 8, p < 0.01, NFI = 0.93, CFI = 0.94). HRF was the strongest predictor of future PA (β = 0.353), and also predicted PC (β = 0.336) and MC (β = 0.163). Object-control MC predicted future PA (β = 0.192). Reciprocal relationships existed between object-control MC and PA, and between object-control MC and PC. HRF was the strongest predictor of PA. Object-control MC also predicted PA. PA promotion strategies should target the development of HRF and object-control MC in primary school to reduce the decline in PA frequently observed after the school transition.