Interactive and Collaborative Professional Development for In-Service History Teachers

This article advances a continuing line of inquiry into an innovative teacher-support program intended to help in-service history teachers develop professional teaching knowledge for inquiry-based history instruction. Two prior iterations informed our design and use of professional development materials; they also informed the implementation schedule of experiences our materials intended to support. We asked: Can interactive and collaborative professional development encounters promote in-service history teachers' professional teaching knowledge? Following the thirteen-month study, no participant fully adopted the wise-practice pedagogy we advocated: problem-based historical inquiry. Findings do suggest, however, interactive experiences and sustained collaboration may help teachers raise their aspirational goals for planning powerful instruction. Throughout the study, teachers' collaboratively planned lessons became increasingly informed by our support program, and several participants' practice moved closer to our wise-practice model. Findings also suggest revisions to professional development materials and schedules to promote teachers' professional teaching knowledge.     

The inclusive family support model: Facilitating openness for post‐adoptive families

Open adoptions have increased over the past few decades, and although guidance for considering and creating open adoption agreements exist, one area of needed post‐adoption support is helping adoptive birth/first families navigate open‐adoption relationships after finalization. Adoption agencies have a responsibility to assist adoptive parents, who may have fears and concerns about openness, see the potential benefits rather than only the challenges. This article describes a practice model designed by one agency to help families navigate post‐adoption openness. The Inclusive Family Support model is conceptualized through the theoretical perspectives of family systems theory, ambiguous loss and disenfranchised grief, and the transtheoretical model of change. We highlight the major dimensions of the model, how it will be implemented and evaluated at one agency, and discuss implications for practice and policy.     

Validation of Quantitative Microbial Risk Assessment Using Epidemiological Data from Outbreaks of Waterborne Gastrointestinal Disease

The assumptions underlying quantitative microbial risk assessment (QMRA) are simple and biologically plausible, but QMRA predictions have never been validated for many pathogens. The objective of this study was to validate QMRA predictions against epidemiological measurements from outbreaks of waterborne gastrointestinal disease. I screened 2,000 papers and identified 12 outbreaks with the necessary data: disease rates measured using epidemiological methods and pathogen concentrations measured in the source water. Eight of the 12 outbreaks were caused by Cryptosporidium, three by Giardia, and one by norovirus. Disease rates varied from 5.5 × 10^?6 to 1.1 × 10^?2 cases/person‐day, and reported pathogen concentrations varied from 1.2 × 10^?4 to 8.6 × 10² per liter. I used these concentrations with single‐hit dose–response models for all three pathogens to conduct QMRA, producing both point and interval predictions of disease rates for each outbreak. Comparison of QMRA predictions to epidemiological measurements showed good agreement; interval predictions contained measured disease rates for 9 of 12 outbreaks, with point predictions off by factors of 1.0–120 (median = 4.8). Furthermore, 11 outbreaks occurred at mean doses of less than 1 pathogen per exposure. Measured disease rates for these outbreaks were clearly consistent with a single‐hit model, and not with a “two‐hit” threshold model. These results demonstrate the validity of QMRA for predicting disease rates due to Cryptosporidium and Giardia.     

Multivariate Seasonal Adjustment,Economic Identities,and Seasonal Taxonomy

This article extends the methodology for multivariate seasonal adjustment by exploring the statistical modeling of seasonality jointly across multiple time series, using latent dynamic factor models fitted using maximum likelihood estimation. Signal extraction methods for the series then allow us to calculate a model-based seasonal adjustment. We emphasize several facets of our analysis: (i) we quantify the efficiency gain in multivariate signal extraction versus univariate approaches; (ii) we address the problem of the preservation of economic identities; (iii) we describe a foray into seasonal taxonomy via the device of seasonal co-integration rank. These contributions are developed through two empirical studies of aggregate U.S. retail trade series and U.S. regional housing starts. Our analysis identifies different seasonal subcomponents that are able to capture the transition from prerecession to postrecession seasonal patterns. We also address the topic of indirect seasonal adjustment by analyzing the regional aggregate series. Supplementary materials for this article are available online.     

Perceived Community Cohesion and the Stress Process in Youth

Using survey data from two youth samples, one rural and one urban, we examine the role and significance of perceived community cohesion in the stress process. In particular, we assess the extent to which community attachment and detachment are related to depressed mood, problem substance use, and delinquency net of social statuses, stress exposure, and personal attributes. In addition, we explore the degree to which those dimensions of community cohesion explain or condition the links between the above stress‐process components (e.g., social statuses, stress exposure, and personal attributes) and well‐being. We find remarkably similar results across samples: community attachment is related to lower odds of problem substance use and delinquency; community detachment is related to higher levels of depressed mood, problem substance use, and delinquency; and community attachment buffers the link between stress and problem substance use. With respect to depressed mood, however, the rural youth show greater vulnerability to stress than the urban youth and unique benefits from community attachment compared to the latter. Our findings highlight the roles of community attachment and detachment in the stress process and underscore the importance of each for youth well‐being in rural and urban settings.     

Transformational leadership and childrens' aggression in team settings: A short-term longitudinal study

Social learning theory posits that one crucial way individuals learn how to behave is by observing and modeling the behavior of salient others. We conducted a short-term longitudinal study using multisource data on 183 teenaged ice hockey players (M age = 13.39 years) in 16 hockey teams to test the effects of 3 potentially salient leadership influences (team coaches, team players, and parents) on players' on-ice aggression. We tested a cross-level mediated model in which player aggression (penalty minutes) as measured by referees was the criterion variable. After controlling for prior levels of player aggression, team-level aggression mediated the relationship between team-level coach transformational leadership and player aggression. Parents' transformational leadership did not influence player aggression when assessed simultaneously with team-level coach transformational leadership. Consistent with social learning theory, the findings suggest that transformational leaders model prosocial behavior for followers.     

Selection between models through multi-step-ahead forecasting

We develop and show applications of two new test statistics for deciding if one ARIMA model provides significantly better h-step-ahead forecasts than another, as measured by the difference of approximations to their asymptotic mean square forecast errors. The two statistics differ in the variance estimates used for normalization. Both variance estimates are consistent even when the models considered are incorrect. Our main variance estimate is further distinguished by accounting for parameter estimation, while the simpler variance estimate treats parameters as fixed. Their broad consistency properties offer improvements to what are known as tests of Diebold and Mariano (1995) type, which are tests that treat parameters as fixed and use variance estimates that are generally not consistent in our context. We show how these statistics can be calculated for any pair of ARIMA models with the same differencing operator.     

Uncharted Waters: Exploring the Relationship between Strategy Processes and Management Control Systems in the Nonprofit Sector

The way in which strategy and management control combine has been the subject of much research attention, but rarely, within a nonprofit context. This is surprising, not only because of the considerable social and economic impact of this sector, but also in view of the apparent trend toward sectoral convergence in many structural and processual respects, including strategic behaviors and approaches to control. In this article, we explore the extent to which the relationship between management control and strategy, as found in for‐profit organizations, may prevail within a nonprofit context. Based on questionnaire responses from 182 Australian nonprofit organizations, we find that this relationship in nonprofit organizations is similar to that in for‐profit organizations, thereby lending support to the “convergence” argument. We reflect on the reasons for these similarities and advance an agenda for further research in this area.     

The Use of Adventure Therapy Techniques by Clinical Social Workers: Implications for Practice and Training

Adventure therapy, an experiential intervention that combines outdoor, adventure based activities and group process, is used in direct practice by clinical social workers; however, it is unclear to what extent clinical social workers are actually utilizing these techniques. This research project surveyed a random sample of clinical social workers and examined in greater depth how they are utilizing adventure therapy programming with different clients in various treatment settings, as well as what type of education and training they received for engaging in these practices. A random sample of 646 clinical social workers in NASW responded to the survey, and more than 1/3 of this sample (35.1 %) reported the use of adventure based activities for therapeutic purposes in their social work practice. However, few of the social workers reported formal education or training in the use of adventure therapy, highlighting the need for more attention in both educational and clinical settings to proper instruction around this growing intervention.