Gender in academic STEM: A focus on men faculty

In this study, we explore how men faculty understand the role of gender in shaping faculty experiences in academic science, technology, engineering and mathematics (STEM) and how they position themselves in relation to inequalities disfavouring women. Our data reveal diversity among men in their understandings regarding challenges facing women in STEM. The majority of our participants revealed gender‐blind perspectives and argued that the egalitarian structure of academia does not allow gender to impact attainments in STEM in any significant way. However, a considerable number of them felt privileged compared to women and described subtle ways in which gender shapes opportunities. Our findings show the important implications of men's sensitivity to gender in the ways they perform their professional roles as, for example, mentors, colleagues and teachers in relation to women in STEM. They further call for attention to men's perceptions of gender issues when designing institutional interventions for improving women's conditions in STEM.     

A flexible generalization of the skew normal distribution based on a weighted normal distribution

The skew normal distribution of Azzalini (Scand J Stat 12:171–178, 1985) has been found suitable for unimodal density but with some skewness present. Through this article, we introduce a flexible extension of the Azzalini (Scand J Stat 12:171–178, 1985) skew normal distribution based on a symmetric component normal distribution (Gui et al. in J Stat Theory Appl 12(1):55–66, 2013). The proposed model can efficiently capture the bimodality, skewness and kurtosis criteria and heavy-tail property. The paper presents various basic properties of this family of distributions and provides two stochastic representations which are useful for obtaining theoretical properties and to simulate from the distribution. Further, maximum likelihood estimation of the parameters is studied numerically by simulation and the distribution is investigated by carrying out comparative fitting of three real datasets.     

An analysis of major social obstacles affecting human resource development in Iran

ABSTRACT

This study aimed to analyze the major social obstacles affecting the human resource development (HRD) in Iran. The study population included faculty members in Yazd province, Iran (N = 280, n = 162). A survey and a researcher-made questionnaire were used to collect data. The reliability of the questionnaire was confirmed by using Cronbach’s alpha (0.88) and its validity was approved by a panel of experts. The results indicated that the major social obstacles affecting HRD are ‘an increase in the share of foreigners in the labor market’, ‘frustration of native graduates’ and ‘local brain drain’, respectively. Furthermore, the results of exploratory factor analysis indicated that the most important social obstacles affecting HRD can be summarized into six factors including migration, lack of nativism, inclination towards foreigners, gender imbalance, lack of justice in distribution of resources, and lack of meritocracy. These factors altogether could explain 65.45% of the total variance. In the end, some applied recommendations (such as paying more attention to rural youth, fair distribution of facilities towards urban and rural balance, supporting native elites, preference for employment, and applying indigenous peoples based on meritocracy, creating favorable balance at different levels of academic education, avoiding gender inequality) have been presented.     

Understanding the Role of Outsiders in Community-Based Development Interventions: A Framework with Findings from Iran

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This article analyzes various roles of development practitioners (called outsiders) in five different cases of...     

Poverty and Income Replacement Profile Among EPF Retiree in Malaysia

Social security policies often focus on replacement rates, which indicate retirement income or social security benefits in relation to preretirement income. The higher replacement rate among the pensioners would ensure that the ageing society would have sufficient income to lead a normal life after retirement. This study examined factors that influencing the income replacement rate of Malaysian Employee Provident Fund (EPF) retirees. The analysis was based on a nationwide survey conducted in 2013–2014 among EPF retiree. A logit model was used to evaluate the likelihood of selected socio-demographic and economic factors contributing to income of the retirees. The results indicated that around 62 % of elderly has lower retirement income compared to their preretirement income and it makes them more vulnerable to unpredictable events and financial conditions. The study suggested that the income replacement rate of elderly could be strengthened by investing in ageing workforce, raising retirement age, enhancing educational achievements of low income groups and restructuring employment. These may in turn increase the availability of skilled workers, enhancing the national productivity, increase the income security of retirees, reduce poverty, and develop economic growth of the country.     

Substance Use Disorders in a Sample of Iranian Secondary School Students

Aims: The current research assessed therate of substance use among Iranian secondaryschool students. Participants: 470boy secondary school students selected randomlyand were assessed. Measurements: Aconfidential questionnaire based on DSM-IV anda prior study was distributed, completed by thestudents and collected in the same sessions in2001. Results: Their mean age was13.6 yr., (SD = 0.67) ranging from 12 to 14. Ofthe subjects 105 (22.3%) reported usage ofsubstance (s) once or more sometime duringtheir lives: tobacco 82 (17.5%) alcohol 32(6.8%), opium 3 (–0.6%), hashish 1 (–0.2%), and heroin 2 (0.4%). Only 39 (8.3%) of the students were current substance dependent: 29 (6.2%) were tobacco dependent and 13 (2.8%)were alcohol dependent. Some were using morethan one substance. Conclusions:Tobacco and alcohol were found to be the mostprevalent form of substance use. Seekingpleasure, modeling and release of tension werethe most common reasons for initial substanceuse. The most common reasons reported forcurrent use were seeking pleasure, habit andrelease of tension, respectively. Thesefindings can be implicated in planningpreventive programs. Some of the findings aredifferent from those carried in the west.Cultural attitudes could be the causes of thedifferences.     

Iranian obstetricians’ views about the factors that influence pregnant women's choice of delivery method: A qualitative study

BackgroundCaesarean section is a commonly performed childbirth procedure. While caesarean section is undeniably a lifesaving procedure for some mothers and babies, it can also be an unnecessary procedure for others. Different factors may be involved in the rate of birth by caesarean section.QuestionThis qualitative study was conducted in Kashan city, Iran, to explore obstetrician's views of what might influence pregnant women's choice of delivery method.MethodsObstetricians’ views and experiences were collected using semi-structured interviews. Interviews were conducted in a clinic or hospital, based on the preference of the 18 physicians who agreed to participate in the study. All interviews were recorded and transcribed. Participants were asked key questions, including: “Why do some women prefer caesarean section?”; “What kind of delivery did you have and why?”; “What kind of delivery would you recommend to pregnant women and why?” Inductive qualitative content analysis was undertaken using the method described by Morreti with 120 initial codes categorized into six categories.FindingsThe six categories developed from the initial codes were: factors relating to women, obstetricians, delivery conditions, complications, society's beliefs and the health system.ConclusionA qualitative study conducted in Iran showed that most of the factors identified by participants facilitated the choice of caesarean section. Vaginal birth was anticipated as a painful and lengthy process, with low cultural acceptance and resulting in less income for obstetricians.     

Maximum likelihood estimation of sensitive proportion using repeated randomized response techniques

Randomized response techniques are designed to obtain usable data on sensitive issues while protecting the privacy of individuals. In this paper, based on repeating the randomized response technique, a new technique called repeated randomized response is introduced to increase the protection of privacy and efficiency of estimator for proportion of sensitive attribute. By using this technique, the proportion of academic cheating is estimated among students of Shahid Chamran University of Ahvaz, Ahvaz, Iran.     

Application of Different Techniques of Factor Analysis to Develop Neighborhood Social Capital Rating Scale

Composite indicators are widely used to determine the ranking of countries, organizations or individuals in terms of overall performance on multiple criteria. Their calculation requires standardization of the individual statistical criteria and aggregation of the standardized indicators. These operations introduce a potential propagation effect of extreme values on the calculation of the composite indicator of all entities. In this paper, we propose robust composite indicators for which this propagation effect is limited. The approach uses winsorization based on a robust estimate of the distribution of the sub-indicators. It is designed such that the winsorization affects only the composite indicator rank but has no effect on the entities ranking in each sub-indicator. The simulation study documents the benefits of distribution-based winsorization in the presence of outliers. It leads to a ranking that is closer to the clean data ranking when compared to the ranking obtained using either no winsorization or the traditional winsorization based on empirical quantiles. In the empirical application, we illustrate the use of winsorization for ranking countries based on the United Nations Industrial Development Organization’s Competitive Industrial Performance index. We show that even though the sub-indicator ranking does not change, the robust winsorization approach has a material impact on the ranking of the composite indicator for countries with large discrepancies in the scores of the sub-indicators.