Social Problems,by Amitai Etzioni. Foundations of Modern Sociology Series. Prentice Hall,Englewood Cliffs,New Jersey, 1976. $3.95, Paper. 182 Pp.

Abstract

Publication productivity has received increasing attention in the social work literature. A major shortcoming of the social work literature on productivity is the paucity of attention given specifically to the publication efforts of ethnic minority social work educators. This article presents findings from the first national survey to specifically focus on publication productivity among African-American social work faculty. The data generated from the survey reveal that productivity is associated more with individual-level factors than structural factors, a minority of African-American faculty are producing most of the publications, and African-American social work faculty are producing slightly fewer publications than the broader population of social work faculty.     

Literature as the Guide to History

The author presents a content integration that focuses on social studies and science knowledge and skills. The idea of using folk crafts to help elementary students learn social studies extends from John Dewey's laboratory school to the twenty-first century. Meaningful content is applied to skills, such as blacksmithing, found in the community, and students make connections between school knowledge and their lives outside of school. In this activity, blacksmithing helped students integrate ideas from multiple academic subjects, incorporating content from the social sciences and humanities. The guest content expert with a specialized knowledge base played a large role in making this experience occur for the students and teachers.     

Self‐Reported Likelihood of Whistleblowing by Social Work Students

This article presents a first study on the professional–ethical dilemma of whistleblowing in social work, and suggests some lines for further research on this topic as well as ways for integrating it in the social work curriculum. The study examines the self‐reported readiness of social work students to blow the whistle, whether internally or externally. Internal disclosure entails reporting the wrongdoing to an authority within the organization. External disclosure entails reporting the offense to an outside agency, such as the police, professional organization, or press. The findings indicate that the students view the acts that are detrimental or cause injustice to the client in a very serious light. In dilemma situations such as these, the students reported a willingness to act. The students also report considerably greater likelihood of whistleblowing internally than externally.     

Tall claims? Sense and nonsense about the importance of height of US presidents

According to both the scientific literature and popular media, all one needs to win a US presidential election is to be taller than one's opponent. Yet, such claims are often based on an arbitrary selection of elections, and inadequate statistical analysis. Using data on all presidential elections, we show that height is indeed an important factor in the US presidential elections. Candidates that were taller than their opponents received more popular votes, although they were not significantly more likely to win the actual election. Taller presidents were also more likely to be reelected. In addition, presidents were, on average, much taller than men from the same birth cohort. The advantage of taller candidates is potentially explained by perceptions associated with height: taller presidents are rated by experts as ‘greater’, and having more leadership and communication skills. We conclude that height is an important characteristic in choosing and evaluating political leaders.     

Trends and challenges of developing human capital in India

With the population touching 1.2 billion, half of which is around 25 years of age, India is set to be among one of the top countries for human capital in the next two decades. While the country has been making rapid progress economically, human capital additions may remain marginal and may not keep up with the pace of economic growth unless accompanied by planned development of manpower. The Indian corporate sector was the first to start a dedicated HR function 30 years ago and the nation was the first to have a Ministry of HRD 20 years ago. Despite the early start, the last two to three decades have provided a mixed bag of experiences and expectations. Conservative HRD policies have not helped India's skill base to develop at the same rate as economic progress. An inadequate research base and the low quality of people entering the HR profession have prevented corporate HRD from becoming more productive than it is now. A lot of attention is directed towards recruitment, retention and compensation strategies rather than to talent multiplication. At the same time, innovative leaders and chief executive officers (CEOs) who have taken up the mantle of HR have made a mark. The future of human capital formation will be bright at the national level if the government makes more intense efforts to build human capital and becomes more innovative and expansive. At the corporate level, the credibility of HR is still suspect as it has not been able to match its steps with those of India's more innovative leaders. Preparation of a new breed of HR professionals combined with education of CEOs in what good HR can do may go a long way in helping Indian HR develop a strong footing.     

A statistic to check model adequacy in time series

A simple statistic is suggested to examine if the assumptions on variances in a fitted time series model is valid or not. The properties of the statistic are discussed and examples are considered.     

A note on circular neighbor balanced designs

ABSTRACT

This paper describes some methods of constructing circular neighbor balanced and circular partially neighbor balanced block designs for estimation of direct and neighbor effects of the treatments. A class of circular neighbor balanced block designs with unequal block sizes is also proposed.     

Bayesian regression under combinations of constraints

A Bayesian method for regression under several types of constraints is proposed. The constraints can be range-restricted and include shape restrictions, constraints on the value of the regression function, smoothness conditions and combinations of these types of constraints. The support of the prior distribution is included in the set of piecewise linear functions. It is shown that the proposed prior can be arbitrarily close to the distribution induced by the addition of a polynomial plus an (m−1)-fold integrated Brownian motion. Hence, despite its piecewise linearity, the regression function behaves (approximately) like an m−1 times continuously differentiable random function. Furthermore, thanks to the piecewise linear property, many combinations of constraints can easily be considered. The regression function is estimated by the posterior mode computed by a simulated annealing algorithm. The constraints on the shape and the values of the regression function are taken into account thanks to the proposal distribution, while the smoothness condition is handled by the acceptation step. Simulations from the posterior distribution are obtained by a Gibbs sampling algorithm.     

Use of Biological Markers in Risk Assessment1

Measurements of intermediate end points in the carcinogenic process may reduce uncertainty in human risk assessment from bioassay data, by identifying sources of interspecies variation and dose nonlinearity. This paper describes desirable properties of such markers: persistence, predictive power, temporal relevance, and consistency across dose rate and species. We illustrate these properties by evaluating markers for squamous cell nasal carcinoma in rodents exposed to formaldehyde. We also discuss design issues for bioassays that evaluate markers and tumors simultaneously at necropsy.