Estimating the Standard Deviation From the Range: a Replication of Analysis of Demographic Data Reported in Marriage & Family Review, 2016-2017

Abstract

A major concern in the social sciences is lack of replication of previous studies. An important methodological concern in the social sciences is the ability to determine effect sizes in addition to statistical significance levels. Effect sizes cannot be easily calculated in the absence of sufficient data; usually standard deviations are needed. If standard deviations are not available, how can they be estimated? Various proposals have been offered to solve this question. One solution is to divide the range (maximum–minimum) by four; a variety of more complicated solutions, based on sample size or the skew of the variable’s distribution, have been suggested (Schumm, Higgins, et al., 2017). Here, 30 cases involving the demographic variable of age, from 23 articles published in Marriage & Family Review between 2016 and 2017, are assessed to replicate the previous report of Schumm, Higgins et al. (2017). Our results indicated that both linear and power functions significantly predicted the size of standard deviations, with larger samples featuring smaller standard deviations. Aside from sample size, the best solution appears to be to divide the range by 4.5–5.0; although for very small samples (N?<?50), it is probably better to divide by 3.5–4.0 whereas for larger samples, especially those that involve higher levels of skew, it may be better to divide by 5.0 or higher. The Wan et al. (2014) estimation procedure appears to be approximately a power function of sample size. For samples up to several thousand in size, the range of divisors appears to run between 3.0 and 8.0, extremes that could be used to determine the largest or smallest possible standard deviations, respectively. Values far below 3.0 or above 8.0 may reflect typographical errors in data reports or possibly be evidence of artificially generated data, if not scientific fraud. When a variable is split into subsamples, its standard deviations should usually increase for the subsamples compared with the total sample. Similar assessments remain in progress for non-demographic variables in social sciences.     

Labour Policy and Determinants of Employment and Wages in a Developing Economy with Labour Shortage

Using data from a sample of 1,099 workers, this paper investigates the determinants of employment and wages for workers in the United Arab Emirates. The paper further examines the wage distribution and the decomposition of the wage gap between the public and the private sectors. Results of the study are consistent with the dual labour market theory and indicate that the labour market in the United Arab Emirates is segmented based on sectors (public versus private) and types of workers (nationals versus non‐nationals). The study concludes with a discussion of the implication of these findings for the effectiveness of labour and economic policy.     

Designing survivable resilient networks: A stochastic hybrid genetic algorithm approach

As high-speed networks have proliferated across the globe, their topologies have become sparser due to the increased reliability of components and cost considerations. Reliability has been a traditional goal within network design optimization. An alternative design consideration, network resilience, has not been studied or incorporated into network designs nearly as much. The authors propose a methodology for the difficult estimation of traffic efficiency (TE), a measure of network resilience, and a hybrid genetic algorithm to design networks using this measure.     

Portrayal of Muslims Following the Murders of Lee Rigby in Woolwich and Mohammed Saleem in Birmingham: A Content Analysis of UK Newspapers

In 2013, Michael Adebolajo and Michael Adebowale murdered a British soldier, named Lee Rigby in Woolwich, south-east London. In the aftermath of the incident, evidence showed Muslims had become targets for a rise in anti-Muslim hate crimes.¹1. ACPO, “True Vision Records”, 2013. Available at: http://www.reportit.org.uk/true_vision_records_a_significant_weekly_reduct (accessed 2 September 2014).View all notes Most notably, mosques had been reported to have been burnt down and graffiti with messages of hate scrawled against the walls. In such times, the role of the media is crucial in projecting a balanced approach. This study analysed newspaper coverage three weeks from the Woolwich attacks and examined the language and headlines used to describe Muslims. Over 1022 articles from UK newspapers were reviewed using the Nexis database utilising both quantitative and qualitative methods to examine the media narrative regarding Muslims and also make a comparative analysis of how the media reported on the case of Mohammed Saleem who was murdered by the far right extremist, Pavlo Lapshyn. The newspaper articles were analysed by using the computer software NVivo to search for and identify patterns across the articles in order to give an idea of the most frequent ways that Muslims were being portrayed. This paper found that news coverage had generalised about Muslims which was made in an overtly prejudicial way.     

An islamic perspective for strengths-based social work with muslim clients

This paper examines the Islamic concept of fi?ra or ‘original purity’ in relation to the strengths perspective in social work as a basis to guide religious and culturally appropriate services to Muslim clients. Both fi?ra and the strengths perspective presuppose a positive view of humankind; people are viewed as resilient and capable of growth and development, albeit in respective Islamic and secular systems, these outcomes are towards different ends. In Islam, growth and development links to the self but, ultimately, also to one's relationship with God. In secular social work systems, individual effort and the ability to overcome adversity and become whole are key and need not necessarily be linked to a God. This paper assesses the concept of fi?ra in relation to the strengths perspective to determine a religious and culturally appropriate equivalent for working with Muslim clients within the broader context of multicultural practice.     

Cryptosporidium and Dairy Cattle in the Catskill/Delaware Watershed: A Quantitative Risk Assessment

We carried out a study to estimate the public health risk posed by dairy cattle located in New York City's Catskill/Delaware watershed, as measured by daily C. parvum-like oocyst loading. A Monte Carlo simulation model that takes into account the nature of the dairy cattle population within the target area, age-specific incidence/prevalence rates, as well as differential fecal production and oocyst-shedding intensity rates was used to address the objectives. Additionally, the model was designed to distinguish between zoonotic and nonzoonotic species/genotypes of Cryptosporidium. Total estimated daily C. parvum-like oocyst shedding across all age/production categories was estimated at 4.15 x 10(10). The zoonotic C. parvum comprised 93.5% of this load. It was estimated that preweaned calves produce 99.5% of the total daily C. parvum ocyst burden. The recently described nonzoonotic C. bovis was estimated to have a daily load of 2.2 x 10(9) oocysts across all age/production strata. C. parvum deer-like genotype was estimated to have a total daily load of 1.3 x 10(9) oocysts. The results of this study support earlier assertions that strategies aimed at reducing the cryptosporidial risk posed by dairy cattle to public health will be most efficacious if aimed at preweaned calves.     

Multiple comparisons with a control in repeated measures incomplete block designs using R-estimators

New multiple comparison with a control (MCC) procedures are developed in repeated measures incomplete block design settings based on R-estimates. It is assumed that the errors within each subject are exchangeable random variables. The R-estimators of the treatment effects are obtained by minimizing a sum of Jaeckel (1972)-type dispersion functions. Based on the R-estimators, Dunnett-type multiple comparison procedures are developed for comparing test-treatments with a control-treatment. Under exchangeable errors, it is demonstrated that for Cox-type designs, the new procedures are more efficient than the existing nonparametric procedures. The new MCC procedures are applied to a data set in a clinical trial which consists of patients with reversible obstructive pulmonary disease.     

Learning from tradition: the planning of residential neighborhoods in a changing world

This paper analyses the community values of residential neighborhoods in the southwestern region of Saudi Arabia as an approach to a new theory in urbanism. The indigenous masterbuilders and tribemen incorporated planning decisions pertinent to climatic, cultural, social, economic and religious factors when designing physical elements in their built environment. This is what makes every traditional settlement in the southwest region of Saudi Arabia unique in terms of urban form and social structure. As a step to examining and evaluating the process of residential neighborhood development, three stages of practiced urbanism are discussed. These stages are labelled “vernacular”, “transitional” and “new vernacularism”. These are planning concepts used worldwide in the development of residential neighborhoods throughout history until the present. “New Vernacularism” is envisioned in this investigation as a design/planning objective implemented in most recently planned neighborhoods in Al-Horaidhah, Southwest Saudi Arabia. The achievement of successful urbanism underlies the political goals of urban planning practice. The Al-Horaidhah planning concept is conceived in the light of preservation of community values in neighborhood design/planning as a critical issue.The paper aims to investigate and reconcile the conflicts in the planning of residential neighborhoods in a changing world. The conflicts are restricted between retaining traditions of architecture, urban design and planning with the necessary social, economic, and technological changes in urban formation, mainly, the vernacular and modern. The paper illustrates the concept “New Vernacularism” by presenting Al-Horaidhah scheme as a model for community development in three administrative regions along the Red Sea coastline. “New Vernacularism” as a planning concept looks at the community development in Al-Horaidhah in the light of Sharicah, the Islamic Law and Customary norms by emphasizing the importance of the involvement of local residents in the planning process and gives suggestions of how this might best be achieved and later implemented into new communities.     

Scalable spatio‐temporal Bayesian analysis of high‐dimensional electroencephalography data

We present a scalable Bayesian modelling approach for identifying brain regions that respond to a certain stimulus and use them to classify subjects. More specifically, we deal with multi‐subject electroencephalography (EEG) data with a binary response distinguishing between alcoholic and control groups. The covariates are matrix‐variate with measurements taken from each subject at different locations across multiple time points. EEG data have a complex structure with both spatial and temporal attributes. We use a divide‐and‐conquer strategy and build separate local models, that is, one model at each time point. We employ Bayesian variable selection approaches using a structured continuous spike‐and‐slab prior to identify the locations that respond to a certain stimulus. We incorporate the spatio‐temporal structure through a Kronecker product of the spatial and temporal correlation matrices. We develop a highly scalable estimation algorithm, using likelihood approximation, to deal with large number of parameters in the model. Variable selection is done via clustering of the locations based on their duration of activation. We use scoring rules to evaluate the prediction performance. Simulation studies demonstrate the efficiency of our scalable algorithm in terms of estimation and fast computation. We present results using our scalable approach on a case study of multi‐subject EEG data.     

Estimating drift parameters in a non-ergodic Gaussian Vasicek-type model

Statistical Methods & Applications - We study a problem of parameter estimation for a non-ergodic Gaussian Vasicek-type model defined as $$dX_t=\theta (\mu + X_t)dt+dG_t,\ t\ge 0$$ with unknown...