Response: Avuncularity and Kin Selection in Homosexuals: A Problematic Test or a Problematic Hypothesis?

Here we respond to Vasey et al.'s critical comments regarding our article, “Societal norms rather than sexual orientation influence kin altruism and avuncularity in tribal Urak-Lawoi, Italian, and Spanish adult males” (Camperio Ciani, Battaglia, &; Liotta, 2015 Camperio Ciani, A., Battaglia, U., &; Liotta, M. (2015). Societal norms rather than sexual orientation influence kin altruism and avuncularity in tribal Urak-Lawoi, Italian, and Spanish adult males. Journal of Sex Research. Advance online publication. doi:10.1080/00224499.2014.993748[Taylor &; Francis Online] , [Google Scholar], JSR doi:10.1080/00224499.2014.993748). The first regards the selection of the Urak-Lawoi population of Ko Lipeh, which is considered too modern and touristic to be adequate to test the kin selection and avuncular hypothesis for homosexuality. We provide historical evidence of the contrary, and show that the population at the inception of our 10 years research was indeed primitive and tribal, and probands actually grew and lived in such a society. Only a few years after the 2004 tsunami, the island was developed and invaded by mass tourism. The second comment regarded the statistical analysis and interpretation of data. We show that we consistently and conservatively considered the effects of all confounding variables, both with comparative tests, and by a series of multivariate regression analyses. This was the orthodox procedure approved by all other reviewers. In conclusion, even addressing these comments, we maintain that the kin selection and avuncularity hypothesis for homosexuality is not supported by empirical data even in this primitive and tribal society.     

Quality of Life and Leisure Activities: How do Leisure Activities Contribute to Subjective Well-Being?

The quality of life is determined with objective factors and also with subjective perception of factors which influence human life. Leisure activities play a very important role in subjective well-being because they provide opportunities to meet life values and needs. Through participation in leisure activities people build social relationships, feel positive emotions, acquire additional skills and knowledge, and therefore improve their quality of life. In this report we will explore how leisure activities improve subjective well-being. We will try to distinguish among different types of leisure activities and find those which contribute more to the subjective well-being. Particularly, we will explore which leisure activities contribute to the subjective well-being of women and men of different age. Our study is based on data from a representative sample of Croatian citizens (N = 4,000), who estimated their subjective well-being and participation in various leisure activities. First, we will describe the subjective well-being of various groups of people who differ by gender and age. Afterward, we will identify important leisure activities which determine subjective well-being across age and gender groups. Overall, our results show that engagement in leisure activities contributes to subjective well being, while the pattern of important leisure activities somewhat varies across different age and gender groups.     

Nonparametric Tree‐Based Predictive Modeling of Storm Outages on an Electric Distribution Network

This article compares two nonparametric tree‐based models, quantile regression forests (QRF) and Bayesian additive regression trees (BART), for predicting storm outages on an electric distribution network in Connecticut, USA. We evaluated point estimates and prediction intervals of outage predictions for both models using high‐resolution weather, infrastructure, and land use data for 89 storm events (including hurricanes, blizzards, and thunderstorms). We found that spatially BART predicted more accurate point estimates than QRF. However, QRF produced better prediction intervals for high spatial resolutions (2‐km grid cells and towns), while BART predictions aggregated to coarser resolutions (divisions and service territory) more effectively. We also found that the predictive accuracy was dependent on the season (e.g., tree‐leaf condition, storm characteristics), and that the predictions were most accurate for winter storms. Given the merits of each individual model, we suggest that BART and QRF be implemented together to show the complete picture of a storm's potential impact on the electric distribution network, which would allow for a utility to make better decisions about allocating prestorm resources.     

Living in the Now: Decision-Making and Delay Discounting in Adolescent Gamblers

Several studies examining the relationship of affective decision-making and delay discounting in disordered gambling demonstrated that adult pathological gamblers differ from healthy controls on both reward-related decision tasks. To date no study analyzed the relative contribution of these variables in adolescent gambling. This study was designed to compare affective decision-making and delay discounting in gamblers and nongamblers Italian adolescents, controlling for alcohol consumption. A total of 138 adolescents took part in the research. Two equal-number groups, defined according to the scoring rules for the South Oaks Gambling Screen-Revised for Adolescents, were administered the Iowa Gambling Task (IGT), the Monetary Choice Questionnaire (MCQ), and the Alcohol Use Disorders Identification Test (AUDIT). Zero-order correlations among all variables revealed a moderate negative association between IGT and MCQ scores only in nongamblers group. Results of mixed-model ANOVAs indicated that, compared with nongamblers, adolescent gamblers performed worse on the IGT, showed steeper delay discounting, and scored significantly higher on the AUDIT. Results of logistic regression analysis indicated that IGT, MCQ, and AUDIT scores are all significant predictors of gambling status. This novel finding provides the first evidence of an association among problematic gambling, maladaptive decision-making, and steep delay discounting among adolescents, as already observed in adults.     

GENDER DIFFERENCES IN JOB AUTONOMY:

This research investigates the impact of gender, occupational segregation, and authority position on various forms of job autonomy. The empirical analysis was guided by theoretical concerns over the relevance of occupational characteristics and authority position in explaining the gender gap in job autonomy. Ordinary Least Squares regression results show that after taking various individual and employment-related factors into account, authority position, but not female-dominated occupation, explains a large portion of the gender gap in the degree of job autonomy. Furthermore, logistic regressions indicate that no gender differences in the likelihood of having any of five components of job autonomy remain, after taking all other factors in the model into account. It is concluded that authority position at work is more instrumental in explaining the gender gap in job autonomy than the gender composition of occupations.     

Evaluating multidisciplinary child abuse and neglect teams: a research agenda

A review of child welfare research literature reveals used to investigate and intervene in child abuse and neglect cases, the field does not know enough about their structural variations, implementation processes, or effectiveness. Moreover, although articles advocating multidisciplinary teams enumerate their apparent strengths, they lack attention to the teams' possible weaknesses. The article discusses implications for future evaluation studies.     

Bayesian analysis of generalized elliptical semi-parametric models

In this paper, we study the statistical inference based on the Bayesian approach for regression models with the assumption that independent additive errors follow normal, Student-t, slash, contaminated normal, Laplace or symmetric hyperbolic distribution, where both location and dispersion parameters of the response variable distribution include nonparametric additive components approximated by B-splines. This class of models provides a rich set of symmetric distributions for the model error. Some of these distributions have heavier or lighter tails than the normal as well as different levels of kurtosis. In order to draw samples of the posterior distribution of the interest parameters, we propose an efficient Markov Chain Monte Carlo (MCMC) algorithm, which combines Gibbs sampler and Metropolis–Hastings algorithms. The performance of the proposed MCMC algorithm is assessed through simulation experiments. We apply the proposed methodology to a real data set. The proposed methodology is implemented in the R package BayesGESM using the function gesm().     

Patterns of plant species diversity in deciduous woodlands of Kyiv,Ukraine

Urban Ecosystems - The present study is aimed at exploring native and alien plant species diversity patterns in distinct types of the urban forest environment by documenting differences in species...     

FIRM SURVIVAL,UNCERTAINTY, AND FINANCIAL FRICTIONS: IS THERE A FINANCIAL UNCERTAINTY ACCELERATOR?

Using a large panel of unquoted UK firms over the period 2000–2009, we examine the impact of firm‐specific uncertainty on corporate failures. In this context we also distinguish between firms which are likely to be more or less dependent on bank finance as well as public and nonpublic companies. Our results document a significant effect of uncertainty on firm survival. This link is found to be more potent during the recent financial crisis compared with tranquil periods. We also uncover significant firm‐level heterogeneity because the survival chances of bank‐dependent and nonpublic firms are most affected by changes in uncertainty, especially during the recent global financial crisis. (JEL E44, F32, F34, G32)