Research examining how cultural factors affect adjustment of ethnic minority individuals would be strengthened if study samples better represented the diversity within these populations. To recruit a representative sample of Mexican American families, the authors implemented a multiple-step process that included sampling communities to represent diversity in cultural and economic conditions, recruiting participants through schools, using culturally attractive recruitment processes, conducting interviews in participants' homes, and providing a financial incentive. The result was a sample of 750 families that were diverse in cultural orientation, social class, and type of residential communities and were similar to the census description of this population. Thus, using culturally appropriate adaptations to common recruitment strategies makes it possible to recruit representative samples of Mexican Americans.

Measurement Feedback Systems (MFS) are a class of Health Information Technology (HIT) that function as an implementation support strategy for integrating measurement based care or routine outcome monitoring into clinical practice. Although many MFS have been developed, little is known about their functions. This paper reports findings from an application of Health Information Technology- Academic and Commercial Evaluation (HIT-ACE), a systematic and consolidated evaluation method, to MFS designed for use in behavioral healthcare settings. Forty-nine MFS were identified and subjected to systematic characteristic and capability coding. Results are presented with respect to the representation of characteristics and capabilities across MFS.

Research on generational differences in immigrant youths' academic achievement has yielded conflicting findings. This meta-analysis reconciles discrepant findings by testing meta-analytic moderators. Fifty-three studies provided 74 comparisons on academic outcomes. First-and second-generation youths did not significantly differ on academic achievement (Hedges's g = .01), and second-generation students performed slightly better than third-or-latergeneration peers (g = .12). Moderation tests indicated that second-generation immigrants outperformed first-generation students on standardized tests (g = .20) and earned better grades than third-or-later-generation peers (g = .20). Immigrant advantage was stronger for Asian, low-socioeconomic, and community samples. Immigrant advantage may be overestimated in studies that use self-reported rather than school-reported achievement. Together, our results suggest a small, heterogeneous second-generation immigrant advantage that varies by immigrant population and study characteristics.

Background Implementation strategies have flourished in an effort to increase integration of research evidence into clinical practice. Most strategies are complex, socially mediated processes. Many are complicated, expensive, and ultimately impractical to deliver in real-world settings. The field lacks methods to assess the extent to which strategies are usable and aligned with the needs and constraints of the individuals and contexts who will deliver or receive them. Drawn from the field of human-centered design, cognitive walkthroughs are an efficient assessment method with potential to identify aspects of strategies that may inhibit their usability and, ultimately, effectiveness. This article presents a novel walkthrough methodology for evaluating strategy usability as well as an example application to a post-training consultation strategy to support school mental health clinicians to adopt measurement-based care. Method The Cognitive Walkthrough for Implementation Strategies (CWIS) is a pragmatic, mixed-methods approach for evaluating complex, socially mediated implementation strategies. CWIS includes six steps: (1) determine preconditions; (2) hierarchical task analysis; (3) task prioritization; (4) convert tasks to scenarios; (5) pragmatic group testing; and (6) usability issue identification, classification, and prioritization. A facilitator conducted two group testing sessions with clinician users (N = 10), guiding participants through 6 scenarios and 11 associated subtasks. Clinicians reported their anticipated likelihood of completing each subtask and provided qualitative justifications during group discussion. Following the walkthrough sessions, users completed an adapted quantitative assessment of strategy usability. Results Average anticipated success ratings indicated substantial variability across participants and subtasks. Usability ratings (scale 0–100) of the consultation protocol averaged 71.3 (SD = 10.6). Twenty-one usability problems were identified via qualitative content analysis with consensus coding, and classified by severity and problem type. High-severity problems included potential misalignment between consultation and clinical service timelines as well as digressions during consultation processes. Conclusions CWIS quantitative usability ratings indicated that the consultation protocol was at the low end of the “acceptable” range (based on norms from the unadapted scale). Collectively, the 21 resulting usability issues explained the quantitative usability data and provided specific direction for usability enhancements. The current study provides preliminary evidence for the utility of CWIS to assess strategy usability and generate a blueprint for redesign.