Dating and friendships in adolescence: Variation across same-sex and other-sex romantic partners

This research examined associations between dating and number of friends for rural adolescents with same-sex and other-sex dating partners using longitudinal sociometric data (N = 2826; 55% female, 87% White, mean age = 14 at baseline). In multilevel models assessing within-person change, boys gained female friends when they were in same-sex romantic relationships, compared to when they were single. In contrast, girls in same-sex relationships lost female friends and gained male friends. Adolescents in other-sex romantic relationships gained same-sex friends compared to when they were single. Results advance understanding of adolescent social and sexual development, suggesting that sexual minority adolescents find allies when dating but may struggle to maintain same-sex friendships.     

Finding Love: Passion,Intimacy, and Commitment in the Relationships of Gay Men

This paper identifies the stages of gay male relationships through a qualitative analysis of the interviews of 12 gay men within the context of the Sternberg ( 1986 ) three component model of love. Four stages were identified: Confrontation with sexuality: Preparing for intimacy, Exploration of Sexuality: Engaging with passion, Experimentation with Relationships: Uniting intimacy and passion, and Formation of Committed Relationships: Integrating passion, intimacy, and commitment. Confrontation with Sexuality was a necessary first step before forming intimate relationships, as it provided a context for the second stage of Exploration of Sexuality, where passion could be explored. Once sexuality had been explored, Experimentation with Relationships was the next stage which involved uniting passion with intimacy, often including a period of experimenting with the types of relationships that are usually explored much earlier for heterosexuals. Finally, the fourth stage of Formation of Committed Relationships was identified which involved the integration of passion, intimacy, and commitment. The therapeutic implications of these results are elaborated by an analysis of these stages in clinical cases.     

Computation of the Generalized F Distribution

Exact expressions for the cumulative distribution function of a random variable of the form ( α ₁ X ₁+ α ₂ X ₂)/ Y are given where X ₁, X ₂ and Y are independent chi-squared random variables. The expressions are applied to the detection of joint outliers and Hotelling's mis-specified T ² distribution.     

Attachment Style,Rules Regarding Sex,and Couple Satisfaction: A Study of Gay Male Couples

This article explores the characteristics of open and closed relationships in 170 gay men according to their levels of satisfaction, their attachment styles, and the rules of having sex outside their relationships for open couples. We found no significant difference between open or closed relationships in levels of satisfaction or attachment styles. However, we found that gay men in open relationships who have explicit rules about having sex with other men are significantly more satisfied that those gay men with no rules. A content analysis of the rules is presented and implications for therapy are drawn from the findings.     

Dispersion-diminishing transformations

Let D(σ) consist of matrices congruent to and dominated by a given matrix σ , and let T(σ) be the corresponding congruent transformations. These classes are characterized and their properties studied when σ is positive definite. Dispersion orderings are considered, including dispersion-diminishing linear transformations, concentration properties of which are shown. Arbitrary linear transformations are decomposed into contractions, isometries and dilations on subspaces relative to Mahalanobis norms. Applications are noted in statistical process control and linear inference     

Deviation of order p for estimators of the variance in first-order stochastic differential equation (SDE)

In this work, we consider a non-parametric estimator of the variance in one-dimensional diffusion models or, more generally, in Itô processes with a deterministic diffusion term and a general non-anticipative drift. The estimation is based on the quadratic variation of discrete time observations over a finite interval. In particular, a central limit theorem (CLT) is proved for the deviation in L ^p norm (p≥; 1) between the variance and this estimator. The method of the proof consists in writing the L ^p norm of the deviation, when the drift term is equal to zero, as a sum of 4-dependent random variables. The moments are then computed by means of a Gaussian approximation and a CLT for m-dependent random variables is applied. The convergence is stable in law, this allows the result for processes with general drifts to be obtained, by using Girsanov's formula.     

Logistic Regression Models with Unspecified Low Dose–Response Relationships and Experimental Designs for Hormesis Studies

Hormesis refers to a nonmonotonic (biphasic) dose–response relationship in toxicology, environmental science, and related fields. In the presence of hormesis, a low dose of a toxic agent may have a lower risk than the risk at the control dose, and the risk may increase at high doses. When the sample size is small due to practical, logistic, and ethical considerations, a parametric model may provide an efficient approach to hypothesis testing at the cost of adopting a strong assumption, which is not guaranteed to be true. In this article, we first consider alternative parameterizations based on the traditional three‐parameter logistic regression. The new parameterizations attempt to provide robustness to model misspecification by allowing an unspecified dose–response relationship between the control dose and the first nonzero experimental dose. We then consider experimental designs including the uniform design (the same sample size per dose group) and the $c$‐optimal design (minimizing the standard error of an estimator for a parameter of interest). Our simulation studies showed that (1) the $c$‐optimal design under the traditional three‐parameter logistic regression does not help reducing an inflated Type I error rate due to model misspecification, (2) it is helpful under the new parameterization with three parameters (Type I error rate is close to a fixed significance level), and (3) the new parameterization with four parameters and the $c$‐optimal design does not reduce statistical power much while preserving the Type I error rate at a fixed significance level.     

Criminal history and assault of dating partners: the role of type of prior crime, age of onset, and gender

Some studies of assaults on intimate partners have found that most of the perpetrators are not violent outside the family, which suggests a specialized type of crime. However, other studies found domestic violence offenders tend to have extensive criminal histories. To further investigate the extent to which partner assaults are part of a more general pattern of criminal behavior or a specialized type of crime, we studied the dating relationships of 653 university students. Thirty-one percent reported assaulting a partner in the previous 12 months. The rate of assault on partners by females did not differ significantly for males (29%) and females (32%). We also found high rates of other self-reported crime, and much higher rates by males. For example, over one half of the male students and almost one third of the female students reported having stolen money. The male students reported an average of 3.4 crimes committed, and the female students an average of 1.4 crimes. These high crime rates and gender differences are consistent with many previous studies. Logistic regression analysis revealed that a history of prior criminal acts is associated with an increased probability of assaulting a partner. The relationship was greater when there was prior violent crime compared to property crime, when there was early onset of criminal behavior, and when the offender was female. The implications of the findings for understanding partner assaults, criminal careers, and gender differences in the etiology of violence against intimate partners are discussed.     

“Invisible During My Own Crisis”: Responses of LGBT People of Color to the Orlando Shooting

On June 12, 2016, the Pulse nightclub in Orlando, Florida was the target of one of the country’s deadliest mass shootings. Pulse, a gay nightclub, was hosting a Latin Pride Night the evening of the tragedy, which resulted in the death of 49 victims and 53 casualties, over 90% of whom were lesbian, gay, bisexual, and transgender (LGBT) Latinx people, specifically. The present research investigates the narrative responses from LGBT people of color (LGBT-POC) following the tragedy. Results included an analysis of 94 participant narrative responses. Results were collected online from a sample of LGBT-POC with varying sexual, gender, and racial identities. Thematic analysis revealed four major themes: (1) Violence is Not New for LGBT-POC; (2) Personal Identification with Victims; (3) Lack of Intersectionality in Others’ Responses to Orlando; and (4) Acknowledgment of Intersectionality across LGBT-POC. Discussion focuses on describing the ways in which LGBT-POC responded to the shooting regarding their multiple minority identities. Implications of this research reinforce the need for continued intersectional research with LGBT-POC.