Response improvement in complex experiments by co-information composite likelihood optimization

We propose an adaptive procedure for improving the response outcomes of complex combinatorial experiments. New experiment batches are chosen by minimizing the co-information composite likelihood (COIL) objective function, which is derived by coupling importance sampling and composite likelihood principles. We show convergence of the best experiment within each batch to the globally optimal experiment in finite time, and carry out simulations to assess the convergence behavior as the design space size increases. The procedure is tested as a new enzyme engineering protocol in an experiment with a design space size of order 10⁷.     

Cripping sexualities: An analytic review of theoretical and empirical writing on the intersection of disabilities and sexualities

This paper provides a review of some of the literature addressing the juncture of disabilities and sexualities and invites sociologists to build on this work and take part in this important intersectional field. First, I discuss the central relevance of an intersectional lens for making sense of the unique experiences of queer people with disabilities who are located at the crossroads of various stratified systems. Then, I discuss some of the many unique challenges that queer disabled people face when exploring their sexuality, establishing relationships, and remaining sexual. The invisibility, marginalization, and discrimination of queer people with disabilities in both queer and disability communities are the focus on the third section. The fourth section speaks to current theoretical dialogues between disability studies and queer theory that have illuminated new pathways for theorizing the intersection of disabilities and sexualities, “cripping” sociological theories, and reimagining disability within sociology. As I demonstrate, this literature is growing; however, myriad exciting opportunities for empirical and theoretical sociological exploration remain and I will conclude with a discussion of possible directions for future research.     

Optimal adaptive sequential designs for crossover bioequivalence studies

In prior works, this group demonstrated the feasibility of valid adaptive sequential designs for crossover bioequivalence studies. In this paper, we extend the prior work to optimize adaptive sequential designs over a range of geometric mean test/reference ratios (GMRs) of 70–143% within each of two ranges of intra‐subject coefficient of variation (10–30% and 30–55%). These designs also introduce a futility decision for stopping the study after the first stage if there is sufficiently low likelihood of meeting bioequivalence criteria if the second stage were completed, as well as an upper limit on total study size. The optimized designs exhibited substantially improved performance characteristics over our previous adaptive sequential designs. Even though the optimized designs avoided undue inflation of type I error and maintained power at 80%, their average sample sizes were similar to or less than those of conventional single stage designs. Copyright © 2015 John Wiley & Sons, Ltd.     

The Therapeutic Action of Play in the Psychodynamic Treatment of Children: A Critical Analysis

This paper critically appraises the therapeutic action of play in psychodynamic child therapy and identifies obstacles to utilizing play therapeutically with children. An examination of the functions of action and verbal means of communication as well as their roles in shaping therapeutic relationships in treating children is provided in light of recent theoretical advances. The significance of engaging children directly through play and for redressing the balance between action and verbalization in child therapy is discussed.

Rates of missing responses in personal digital assistant (PDA) versus paper assessments

This article describes rates of missing item responses in personal digital assistant (PDA) assessments as compared to paper assessments. Data come from the evaluation of a classroom-based leisure, life skills, and sexuality education program delivered to high school students in Cape Town, South Africa. Analyses show that the paper assessments had much higher rates of missing-ness than PDA assessments. This association is moderated by item order. Certain analyses also suggest that paper assessments have higher rates of missingness for items pertaining to participants' sexual behavior. Implications of these results for evaluation research will be discussed.     

Understanding intimate partner violence against women in the rural South

Most U.S. intimate partner violence (IPV) research to date has been limited to women residing in urban areas, with the small body of research focusing on rural populations being primarily qualitative. In this case-control study of Southern rural women, while many factors are consistent with those found in urban settings, unlike findings elsewhere, IPV risk appears to increase with age, and race showed no increased risk. Furthermore, in rural areas where guns are more acceptable than in other parts of the United States, partners of IPV victims are considerably more likely to carry weapons than partners of nonabused women. Given the geographic limitations to police and medical response to severe IPV in a rural setting, an improved understanding of IPV risk among this population can aid health care providers in ascertaining risk before it escalates further.     

The experience of sexual desire: Psychological correlates in a college sample

In order to elaborate on available models of sexual desire, we administered a sexual desire questionnaire to 144 college students, ages 18 to 54. Included in this measure were questions concerning the frequency of sexual desire, whether the respondent had participated in sexual activity without desire, or vice versa, experienced desire without sexual behavior, and a question assessing which cues are used by the subject to gauge sexual desire (e.g., frequency of intercourse, sexual dreams). Subjects also completed the Passionate Love Scale, Sexual Arousal Inventory, and Crowne‐Marlowe Social Desirability Scale. The results indicate that as a group, males report experiencing sexual desire more frequently than females. Males appeared to rely on similar indicators of desire as females, specifically genital arousal and sexual daydreams. For both males and females, sexual desire was significantly correlated with sexual arousal (r = 0.50, females; r = 0.44, males) while the correlation of desire and love was nonsignificant for both sexes. However, desire and sexual behavior did not necessarily co‐occur, as both males and females reported engaging in sexual behavior without desire. These data suggest that greater attention be paid to the definitional features of sexual desire in nonclinical samples, in an effort to clarify current diagnostic categories and to provide population base rates.     

Weighted ratio estimation in agricultural surveys

A major problem with satellite-sensed agricultural surveys is loss of data due to cloud cover. The Large Area Crop Inventory Ex¬periment (LACIE) run by three Federal agencies (NASA, NOAA, and USDA) in the years 1974-1977 used a ratioing approach to account for missing data. This approach is found to be reasonable in that it is unbiased with respect to a plausible crop acreage time series model. At the same time, the arbitrary nature of the LACIE proce¬dure's rules for ratioing suggests that improvements to it can be made, thus motivating the discussion of general linear estimators and the development of the 'weighted aggregation' (WAG) procedure. Estimated variances of the LACIE and WAG procedures for an actual LACIE data set indicate that the LACIE procedure, although somewhat heuristic, performs rather well, having an estimated variance 12% higher than that of the WAG, which is theoretically optimal     

Simple and Exact Empirical Likelihood Ratio Tests for Normality Based on Moment Relations

The empirical likelihood (EL) technique is a powerful nonparametric method with wide theoretical and practical applications. In this article, we use the EL methodology in order to develop simple and efficient goodness-of-fit tests for normality based on the dependence between moments that characterizes normal distributions. The new empirical likelihood ratio (ELR) tests are exact and are shown to be very powerful decision rules based on small to moderate sample sizes. Asymptotic results related to the Type I error rates of the proposed tests are presented. We present a broad Monte Carlo comparison between different tests for normality, confirming the preference of the proposed method from a power perspective. A real data example is provided.