The Impacts of Sexual Arousal and Its Suppression on Executive Functioning

Suppression of certain types of reflexive emotional responses is thought to temporarily deplete executive functions (EF), as evidenced by poorer performance on measures of EF, but does not deplete other, lower-order cognitive processes. This study examined whether similar decrements in performance on EF tests would occur following suppression of sexual arousal. A sample of 44 male college students underwent baseline cognitive assessment (EF and lower-order cognitive processes), followed by experimental manipulation consisting of exposure to sexually explicit audiovisual stimuli. Sexual arousal was monitored using penile plethysmography. In this study, 21 participants were assigned to a suppression condition and were instructed to suppress sexual arousal during the video, while 23 were assigned to an arousal condition and were instructed to allow themselves to become aroused. Following experimental manipulation, cognition was reassessed. Unexpectedly, results showed EF decrements in the arousal group but not in the suppression group. As expected, only EF was affected by experimental manipulation, with no group differences in lower-order cognitive processes. Thus, the findings suggest that sexual arousal is associated with temporary decrements in EF performance, at least among young, primarily White, male college students. The results contribute to understanding why sexually charged situations are sometimes associated with poor decisions or unsafe/reckless sexual practices.     

A test of the Maslach Burnout Inventory in three samples of healthcare professionals

Structural equation modelling with LISREL was used to investigate the factor structure of the Maslach Burnout Inventory (MBI). Emotional exhaustion was the most robust of the MBI's three factors, followed by depersonalization, while the personal accomplishment factor performed weakly. A new measurement model was developed in a sample of 197 nurses consisting of the emotional exhaustion and depersonalization dimensions, which were measured with five and two empirical MBI indicators, respectively. A test of invariance of the two-factor model across three samples (i.e. one calibration sample of nurses, and two validation samples consisting of hospital laboratory technicians and hospital managers with an effective sample size of 445) produced a good fit for the proposed two-factor model. Assessment of psychometric properties of the two-factor model produced (1) internal consistencies comparable to those reported in the literature for the MBI's originally specified emotional exhaustion and depersonalization scales, and (2) correlations with criterion variables that were all in the expected direction and magnitude, comparable to those produced by the originally specified scales. Theoretical implications for the use of the two-factor model in burnout research are discussed.     

Moment closure based parameter inference of stochastic kinetic models

Parameter inference for stochastic kinetic models is a topic that spans many disciplines. Although it is possible to carry out exact inference using partial observations of a stochastic process, it is often computationally impractical. In this paper we use the moment closure approximation of the underlying stochastic process as a fast approximation of the likelihood. We show that this approximation is fast and accurate, even when the population numbers are small.     

Algorithmically recognizable: Santorum’s Google problem,and Google’s Santorum problem

ABSTRACT

Because information algorithms make judgments that can have powerful consequences, those interested in having their information selected will orient themselves toward these algorithmic systems, making themselves algorithmically recognizable, in the hopes that they will be amplified by them. Examining this interplay, between information intermediaries and those trying to be seen by them, connects the study of algorithmic systems to long-standing concerns about the power of intermediaries – not an algorithmic power, uniquely, but the power to grant visibility and certify meaning, and the challenge of discerning who to grant it to and why. Here, I consider Dan Savage’s attempt to redefine the name of U.S. Senator Rick Santorum, a tactical intervention that topped Google’s search results for nearly a decade, and then mysteriously dropped during the 2012 Republican nominations. Changes made to Google’s algorithm at the time may explain the drop; here, they help to reveal the kind of implicitly political distinctions search engines must invariably make, between genuine patterns of participation and tactical efforts to approximate them.     

Promoting positive development among refugee adolescents

Of the estimated 35.3 million refugees around the world (UNHCR, Figures at a Glance, 2022), approximately 50% are children under the age of 18. Refugee adolescents represent a unique group as they navigate developmental tasks in an unstable and often threatening environment or in resettlement contexts in which they often face marginalization. In addition to physiological, social, and psychological changes that mark adolescence, refugee youth often face traumatic experiences, acculturative stress, discrimination, and a lack of basic resources. In this consensus statement, we examine research on refugee adolescents' developmental tasks, acculturative tasks, and psychological adjustment using Suárez-Orozco and colleague's integrative risk and resilience model for immigrant-origin children and youth proposed by Suárez-Orozco et al. Finally, we discuss recommendations—moving from proximal to more distal contexts.     

Using Mokken methods to develop robust cross-national scales: American and West German attitudes toward abortion

A fundamental methodological issue in cross-national research on attitudes is the comparability of the attitude measures across populations. We address this issue by presenting the Mokken method and accompanying Mokken test as a means for developing equivalent attitude scales. We apply these methods to an analysis of the responses to seven abortion items in the 1982 NORC GSS and West German ALLBUS combined files. We find that the seven items form a unidimensional scale in both countries and that four of these items constitute a scale that is robust across the two populations. We conclude by describing how such results can be used to guide the development of Rasch and LISREL models.     

Bayesian inference for a partially observed birth–death process using data on proportions

Stochastic kinetic models are often used to describe complex biological processes. Typically these models are analytically intractable and have unknown parameters which need to be estimated from observed data. Ideally we would have measurements on all interacting chemical species in the process, observed continuously in time. However, in practice, measurements are taken only at a relatively few time‐points. In some situations, only very limited observation of the process is available, for example settings in which experimenters can only observe noisy observations on the proportion of cells that are alive. This makes the inference task even more problematic. We consider a range of data‐poor scenarios and investigate the performance of various computationally intensive Bayesian algorithms in determining the posterior distribution using data on proportions from a simple birth‐death process.