Development of Science Anxiety Scale for Primary School Students

The principal aim of the study is to develop a new scale Science Anxiety Scale and to examine its the psychometric properties and construct validity of the Science Anxiety Scale in a sample of 797 primary school students. Exploratory factor analysis was applied and found to have a two-dimensional structure. Confirmatory factor analyses provide evidence for a solid two-dimension structure reflecting the theorized construct: personal and environmental. Also, for convergent validity, item reliability, construct reliability and average variance values were calculated and it was found that item reliability and construct reliability values generally provided the required criteria. The average variance extracted value had a value below the criteria value for both sub-dimensions. Discriminant validity was above the criteria value in all dimensions. The reliability of the Science Anxiety Scale scales appeared to be satisfactory, with good internal consistency. The Science Anxiety Scale was found to be reliable and valid for the Turkish primary student context with a few exceptions.     

Erectile dysfunction is a marker for obstructive sleep apnea

Purpose: To investigate the prevalence of erectile dysfunction (ED) in patients with obstructive sleep apnea (OSA) with and without any other comorbidities.

Methods: The patient group was newly diagnosed as having OSA (apnea–hypopnea index [AHI]?>?5/h) using a polysomnographic examination. A group of subjects with simple snoring were included into the control group. Clinically relevant comorbidities were systematically assessed in face-to-face interviews. All patients were asked to complete the 15-item International Index of Erectile Function (IIEF-15) questionnaire for the evaluation of ED. The patients with OSA and ED were evaluated according to these comorbidities.

Results: Of the 94 patients, 39 patients were excluded because of severe diseases. OSA was observed in 38 (69.1%) of the 55 patients. ED was seen in 24 (63.2%) patients with OSA, and in 8 (47.1%) patients without OSA (p?>?0.05). There were no statistical differences between the groups’ ages, IIEF scores, and body mass index (BMI) scores. There were statistically significant differences between the groups’ AHI scores (p?p?Conclusion: The rate of ED was higher in patients with OSA who had no other comorbidities. Therefore, ED can be a sensitive marker of OSA.     

Against the Tide: Gendered Prejudice and Disadvantage in Engineering

Although a balance has been achieved in the overall numbers of female and male students in higher education in the industrialized countries, vertical sex segregation has remained high as male academics and students continued to outnumber their female counterparts internationally. Gender representation is only one façade of gendered disadvantage in engineering, as complex forms of gendered disadvantage occur in social, cultural, psychological and economic layers of life, where women engineering students find themselves swimming against the tide of prejudice. This article draws on comparative and historical data, and a qualitative study with interviews and a questionnaire survey which generated 603 completed responses from female and male engineering students in Turkey. It seeks to reveal the complex and layered nature of gendered prejudice levelled against female engineering students. The findings suggest that linear formulations of gendered prejudice and disadvantage in engineering study are insufficient to account for the complexity of influences on career choice and their concomitant gendered outcomes.     

Tilly and Bourdieu

The first part of this essay discusses the most important similarities between the sociological visions of Pierre Bourdieu and Charles Tilly; the second part surveys the key differences. The conclusion then offers a critical assessment of these two thinkers’ respective contributions to social science.     

Empirical Bayes sequential estimation of a finite population mean

In this article, we consider the Bayes and empirical Bayes problem of the current population mean of a finite population when the sample data is available from other similar (m-1) finite populations. We investigate a general class of linear estimators and obtain the optimal linear Bayes estimator of the finite population mean under a squared error loss function that considered the cost of sampling. The optimal linear Bayes estimator and the sample size are obtained as a function of the parameters of the prior distribution. The corresponding empirical Bayes estimates are obtained by replacing the unknown hyperparameters with their respective consistent estimates. A Monte Carlo study is conducted to evaluate the performance of the proposed empirical Bayes procedure.