RESUMO
Strengths, Opportunities, Aspirations, and Results (SOAR) is a strengths-based framework for strategic thinking, planning, conversations, and leading that focuses on strengths, opportunities, aspirations, and results. The SOAR framework leverages and integrates Appreciative Inquiry (AI) to create a transformation process through generative questions and positive framing. While SOAR has been used by practitioners since 2000 as a framework for generating positive organizational change, its use in empirical research has been limited by the absence of reliable and valid measures. We report on the reliability, construct validity, and measurement invariance of the SOAR Scale, a 12-item self-report survey organized into four first-order factors (Strengths, Opportunities, Aspirations, and Results). Data from a sample of 285 U.S. professionals were analyzed in Mplus using confirmatory factor analysis and exploratory structural equation modeling. The Four-Factor first-order exploratory structure equation modeling (ESEM) had the best model fit. Measurement invariance tests found the scalar invariance of the SOAR Scale across gender and education groups. Implications are discussed for using the SOAR Scale to build resilience at the individual, the team, and the organizational levels.
RESUMO
Strengths use is an essential personal resource to consider when designing higher-educational programs and interventions. Strengths use is associated with positive outcomes for both the student (e.g., study engagement) and the university (e.g., academic throughput/performance). The Strengths Use Scale (SUS) has become a popular psychometric instrument to measure strengths use in educational settings, yet its use has been subjected to limited psychometric scrutiny outside of the U.S. Further, its longitudinal stability has not yet been established. Given the wide use of this instrument, the goals of this study were to investigate (a) longitudinal factorial validity and the internal consistency of the scale, (b) its equivalence over time, and (c) criterion validity through its relationship with study engagement over time. Data were gathered at two-time points, 3 months apart, from a sample of students in the Netherlands (n = 360). Longitudinal confirmatory factor analyses showed support for a two-factor model for overall strengths use, comprised of Affinity for Strengths and Strengths Use Behaviors. The SUS demonstrated high levels of internal consistency at both the lower- and upper bound limits at both time points. Further, strict longitudinal measurement invariance was established, which confirmed the instrument's temporal stability. Finally, criterion validity was established through relating strengths use to study engagement at different time stamps. These findings support the use of the SUS in practice to measure strengths use and to track the effectiveness of strengths use interventions within the higher education sector.
RESUMO
OBJECTIVE: To assess health protection motivation as explained by the constructs of protection motivation theory (PMT) and its association with drug trafficking over 2 years. METHODS: The sample included 817 African American youth (13-16 years old) participating in an adolescent risk-reduction program. We developed an instrument measuring the level of health protection motivation (LHPM) using factor analysis. Changes in LHPM over time were examined among drug traffickers, abstainers, initiators, and nonrisk youths. RESULTS: In sum, 151 participants reported selling and/or delivering drugs during the study period. The significant inverse correlation between drug-trafficking intention and health protection motivation was consistent with PMT. Changes in LHPM were strongly associated with the dynamics of behavior over 2 years. CONCLUSIONS: Adolescent drug trafficking can be predicted by an overall level of health protection motivation. PMT and related theories should be considered in the design of drug-trafficking prevention intervention.
