Best Practices in Relationship Education Focused on
Intimate RelationshipsRelationship education is widely used to help people develop and sustain healthy romantic relationships. We first provide a review on the current state of evidence and key issues in the field, laying a foundation for suggesting specific best practices in relationship education. We focus on services provided to couples but also address the burgeoning field of relationship education with individuals. Although there are many gaps in the knowledge informing best practices-such as mechanisms of effect and dose-decades of research and experience provide a strong basis for specific recommendations. The hallmark of an evidence-based, best-practice approach lies in making thoughtful decisions based on current knowledge, the goals of the effort, the population served, and available resources.Healthy romantic relationships and marriages are vital to the well-being of adults, families, and
Regression testing is an important activity for controlling the quality of a software product, but it accounts for a large proportion of the costs of software. We believe that an understanding of the underlying relationships in data about software systems, including data correlations and patterns, could provide information that would help improve regression testing techniques. As an initial approach to investigating the relationships in massive data in software repositories, in this paper, we consider a clustering approach to help improve test case prioritization. We implemented new prioritization techniques that incorporate a clustering approach and utilize history data on real faults and code complexity. To assess our approach, we conducted empirical studies using an industrial software product, Microsoft Dynamics Ax, which contains real faults. Our results show that test case prioritization that utilizes a clustering approach can improve the rate of fault detection of test suites, and reduce the number of faults that slip through testing when testing activities are cut short and test cases must be omitted due to time constraints.I would also like to thank my beautiful wife for supporting me through this wild endeavor while caring for our four wonderful children, Anika, Austin, Bridger, and Cierra.
In this paper, we explore student dropout behavior in a Massively Open Online Course (MOOC). We use a survival model to measure the impact of three social factors that make predictions about attrition along the way for students who have participated in the course discussion forum.
Current literature yields mixed results about the effectiveness of relationship education (RE) with low-income participants and those who experience a high level of individual or relational distress. Scholars have called for research that examines whether initial levels of distress act as a moderator of RE outcomes. To test whether initial levels of relationship and/or individual distress moderate the effectiveness of RE, this study used two samples, one of couples who received couple-oriented relationship education with their partner (n = 192 couples) and one of individuals in a relationship who received individual-oriented RE by themselves (n = 60 individuals). We delivered RE in a community-based setting serving primarily low-income participants. For those attending with a partner, there was a significant interaction between gender, initial distress, and time. Findings indicate that women who were relationally distressed before RE reported the largest pre-postgains. Those who attended an individual-oriented RE program reported significant decreases in individual distress from pre to post, but no significant relationship gains. Findings also suggest that initial levels of distress did not moderate the effectiveness of individual-oriented RE.
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