Objectives: This meta-analysis aimed to explore the relationship between mental health disorders and symptoms of mental health disorders (depression, anxiety, posttraumatic stress disorder [PTSD], antisocial personality disorder [PD], and borderline PD) and physical intimate partner violence (IPV) perpetration and victimization for males and females. Method: Data from 207 studies, yielding 511 effect sizes, were analyzed. The overall strength of each correlate for IPV perpetration and victimization was examined. Moderator analyses were used to compare the strength of correlates for IPV victimization versus perpetration, as well as for males versus females. Results: Depression, anxiety, PTSD, antisocial PD, and borderline PD were all significant correlates for both IPV victimization and perpetration. Anxiety and PTSD were significantly stronger correlates for victimization than for perpetration, and borderline PD and antisocial PD were significantly stronger correlates for perpetration than for victimization. For women, borderline PD was a significantly stronger correlate for IPV perpetration than for victimization, and PTSD was a significantly stronger correlate for IPV victimization than perpetration. Depression was a significantly stronger correlate for IPV victimization for women than for men. Conclusions: This study provides a comprehensive examination of mental health disorders and their link to IPV perpetration and victimization. The results suggest that clinicians working with individuals or couples in the context of IPV should assess for and treat mental health problems.

Research on intimate partner violence (IPV) has largely focused on heterosexual relationships, but, in recent years, researchers have expanded their focus to include same-sex relationships. Using meta-analytic techniques, this study was conducted to examine the relative strength of various risk markers for men and women being perpetrators and victims of physical IPV in same-sex relationships. Articles were identified through research search engines and screened to identify articles fitting the inclusion criteria, a process that resulted in 24 studies and 114 effect sizes for the meta-analysis. The strongest risk marker among those with at least two effect sizes for both male and female perpetration was psychological abuse perpetration. The strongest risk marker among those with at least two effect sizes for IPV victimization was also perpetration of psychological abuse for males and psychological abuse victimization for females. Among same-sex-specific risk markers, internalized homophobia and fusion were the strongest predictors for being perpetrators of IPV for men and women, respectively. HIV status and internalized homophobia were the strongest risk markers for IPV victimization for men and women, respectively. Of 10 comparisons between men and women in risk markers for IPV perpetration and victimization, only 1 significant difference was found. The results suggest that although same-sex and heterosexual relationships may share a number of risk markers for IPV, there are risk markers for physical IPV unique to same-sex relationships. Further research and increased specificity in measurement are needed to better study and understand the influence of same-sex-specific risk markers for IPV.

Partnering with parents and children in the design process can be important for producing technologies that take into consideration the rich context of family life. However, to date, few studies have examined the actual process of designing with families and their children. Without understanding the process, we risk making poor design choices in user-interactive experiences that take into account important family dynamics. The purpose of this investigation is to understand how parent-child relationships in families shape co-design processes and how they are reshaped through co-design. We document the evolutionary process and outcomes that exist in co-design partnerships between researchers and families. We found that parents' engagement patterns shifted more slowly than that of children's from observing and facilitating to design partnering practices. Our analysis suggests the importance of establishing and nurturing social bonds among parents, children, and researchers in the co-design process.

Previous research has suggested that religiosity is associated with positive marital outcomes, but the underlying reasons for this association are not fully understood. We tested the hypothesis that religion influences marriage via partner selection strategies. Specifically, we hypothesized that proximal (more than distal) religiosity would predict partner selection strategies that facilitates positive marital outcomes; we also conducted exploratory analyses examining the influence of religious affiliation. Using a novel methodology that allowed for an examination of explicit and implicit attitudes, we tested our hypotheses using a large sample of emerging adults ( N = 437). Findings indicate that religion influences partner selection preferences, but the effect is not uniformly positive. Religious affiliation, not individual level religiosity (distal or proximal), was the most robust predictor of mate-selection preferences. Possible explanations for these findings and implications for intervention are discussed.

In this article, we present analyses from a researcher-practitioner partnership in the District of Columbia Public Schools, where we are exploring the impact of educational software on students' academic achievement. We analyze a unique data set that combines student-level information from the district with data of student usage of a mathematics game platform: First in Math (FIM). These data offer a window into long-standing issues in the educational technology literature around implementation, equity, and student achievement. We show that time spent in FIM was correlated with improved future performance on standardized math assessments for students in Grades 4-8. However, student time spent using FIM was highly related to factors such as race, gender, and prior achievement. Such observations from data are helpful for school districts and researchers to inform equitable implementation of new technologies and maximize benefits to learners.