Towards an Objective Classification Scheme for Organizational Task Environments

This study replicates, refines, cross-validates and simplifies a scheme of operationalization and measurement of environmental dimensions proposed by Dess and Beard (1984). Employing a sample of 60 industries and data over a 16-year period, this study found considerable support for the viability of the three dimensions of munificence, dynamism and complexity. The data intensive and computationally complex operationalization scheme was simplified using a discriminant analysis approach and the discriminant functions were cross-validated using an alternate data set.     

Some new construction of circular weakly balanced repeated measurements designs in periods of two different sizes

Abstract

Balanced repeated measurements designs (RMDs) balance out the residual effects. Williams Latin square designs work as minimal combinatorial balanced as well as variance balanced for RMDs for p (period sizes) = v (number of treatments). If minimal balanced RMDs cannot be constructed for the situations where p must be less than v then weakly balanced RMDs should be preferred. In this article, some generators are developed to generate circular weakly balanced RMDs in periods of two different sizes. To obtain the proposed designs, some construction procedures are also described for some of the cases where we could not develop generators.     

Minimal circular strongly balanced repeated measurements designs in periods of three different sizes

Repeated measurements designs (RMD) are widely used in medicine, pharmacology, animal sciences, and psychology. If there is a restriction on the total number of treatments, some experimental units can receive on the total length of time while some experimental units can remain in the trial, then RMD in periods of unequal sizes should be used. In this article, some infinite series are developed to generate the minimal circular strongly balanced RMD in periods of three different sizes p₁, p₂, and p₃, where 2 ≤ p₃ < p₂ ≤ 10.     

On length and area-biased Maxwell distributions

This article addresses the various properties and different methods of estimation of the unknown parameter of length and area-biased Maxwell distributions. Although, our main focus is on estimation from both frequentist and Bayesian point of view, yet, various mathematical and statistical properties of length and area-biased Maxwell distributions (such as moments, moment-generating function (mgf), hazard rate function, mean residual lifetime function, residual lifetime function, reversed residual life function, conditional moments and conditional mgf, stochastic ordering, and measures of uncertainty) are derived. We briefly describe different frequentist approaches, namely, maximum likelihood estimator, moments estimator, least-square and weighted least-square estimators, maximum product of spacings estimator and compare them using extensive numerical simulations. Next we consider Bayes estimation under different types of loss function (symmetric and asymmetric loss functions) using inverted gamma prior for the scale parameter. Furthermore, Bayes estimators and their respective posterior risks are computed and compared using Markov chain Monte Carlo (MCMC) algorithm. Also, bootstrap confidence intervals using frequentist approaches are provided to compare with Bayes credible intervals. Finally, a real dataset has been analyzed for illustrative purposes.     

The Adult Life Cycle of Poor African American Fathers

Abstract

This article is based on the qualitative findings of a 4-year study of 150 adult African American men who are non-custodial fathers. Using social constructionist and ecological frameworks, issues of individual, personality and family development are explored and implications for micro and macro social work practice are discussed.     

Multidimensional Wellbeing: An Index of Quality of Life in a Developing Economy

Human wellbeing indices can shed light on a society’s quality of life. This study ranks human wellbeing by employing objective and subjective indicators of quality of life for hundred districts of Pakistan. Households level data used for the analysis includes ‘The Pakistan Social and Living Standards Measurement Survey’ for the year 2006–2007. The human wellbeing is examined in four domains: education, health, living conditions and economic situation. Principal component analysis is employed for indexing human wellbeing, rated in five quintiles are generated. The paper demonstrates the importance of education, health and living condition domains in determining the human wellbeing. Objective indicators of education i.e., adult literacy rate, net primary enrolment and gender equality in education are important variables in ranking of districts. Economic status of the households and communities are important variables in subjective perception of wellbeing. The results indicate substantial variation in human wellbeing among districts of Pakistan It may be considered that disparity in objective condition and in subjective perceptions are adequately depicting wellbeing differences. Finally, it is argued that objective indicators and subjective wellbeing measures are needed in unison to understand human quality of life and to make informed policy decisions.     

Comparative study of attitudes to religious groups in New Zealand reveals Muslim-specific prejudice

ABSTRACT

The March 15th terrorist attack started a national dialogue about prejudice in New Zealand. Previous research has investigated attitudes towards Muslims in comparison to ethnic minorities. However, presently, there are no nationally representative studies in New Zealand systematically comparing attitudes to Muslims with attitudes to other religious groups. Here, we present evidence from the New Zealand edition of the International Social Survey Programme module on religion, a national postal survey (N?=?1335) collected between September 2018 and February 2019. We assess perceived threat and negativity towards Christians, Muslims, Hindus, Buddhists, Jews, and Atheists. We find substantially greater perceived threat and negativity towards Muslims compared with other groups. In particular, older people, New Zealand Europeans, men, and those with more right-wing attitudes report greater threat and negativity towards Muslims. In line with previous studies, higher religious identification and higher education predict greater acceptance. Taken collectively, these results reveal that the Muslim Acceptance Gap in this country is substantial, and greater challenges for acceptance are evident among lower-educated, right-wing, older, secular, and male populations. The magnitude of this gap reveals a substantial challenge to the future of New Zealand where religious and secular people can live without evoking prejudice.     

Subject Positioning,Fear, and Insecurity in South Asian Muslim Communities in the War on Terror Context

This paper focuses on the subject positioning of South Asian Muslim communities in Montreal in the sociopolitical context of the war on terror (WOT) in Canada after 9/11. Drawing upon community studies, the results highlight the ways in which the climate of fear and suspicion associated with heightened security and antiterrorism concerns shapes the lives of these respondents and how they respond to it in their local contexts. The increased external scrutiny these communities face is also associated with an internalization of fear, which becomes a self‐regulating factor of how they view themselves, their relationships with members of their own communities, and their belonging within the larger society.     

Variance estimation in adaptive cluster sampling

Abstract

In this paper, a class of variance estimator is proposed of a finite population variance under an adaptive cluster sampling design in the presence of information on an auxiliary variable. We obtain expressions for the mean square error and bias for the developed estimators and their performance is evaluated on a Poisson clustered process and a real data set. The simulation study evaluates the efficiency of the suggested estimators for an adaptive cluster sampling (ACS) design and the Isaki (1983 Isaki, C. T. 1983. Variance estimation using auxiliary information. Journal of the American Statistical Association 78 (381):117–23. doi: 10.1080/01621459.1983.10477939.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) estimator of the variance for SRSWOR over the sample variance for SRSWOR.     

Rural Latino Youth Career Development: An Application of Social Cognitive Career Theory

This study used social cognitive career theory (Lent, Brown, & Hackett, 1994 ) to investigate the career development of 9th‐grade students living in 2 rural communities with large numbers of Latino immigrants. Participants (55.3% Latino) responded to measures of vocational skills self‐efficacy, career decision outcome expectations, career aspirations, and barriers to postsecondary education. Contrary to previous findings, results indicated that Latino students in these communities reported higher self‐efficacy beliefs than did White students. Latino students also reported higher perceived barriers, but this did not seem to relate to their career aspirations. Results suggest that school and career counselors should focus on programming that attends to Latino students' self‐efficacy and outcome expectations, as well as efficacy for overcoming barriers. Doing so could prove useful for increasing career achievement among rural Latino youth.