Working for God and Sustainability: The Activities of Faith-Based Organizations in Kenya

Faith-based organizations (FBOs) have long played a role in international development, and are increasingly involved in environmental sustainability initiatives. Despite these contributions they have, until recently, been largely ignored in scholarship and by secular agencies. This article adds to the growing recognition of FBOs, exploring the identity and function of FBOs doing environmental and development work in Kenya through document review, qualitative questionnaires and participant observation. A diverse group of FBOs with varied identities and engaged in a broad range of activities revealed several strengths and challenges of faith-based environmental and development work. Of particular note is the key role churches and faith-based agencies can play in effecting sustainable and holistic change in Global South countries, due to their rootedness in the community, the social capital they help to produce, and the respect they receive from the people.     

For what use are tests of hypotheses and tests of significance

Tests of sharp null hypotheses, although frequently computed, are.rarely appropriate as the major end product of statistical analyses, except possibly in some, areas of the natural sciences. But procedures closely akin to tests, although often less formal, are needed in almost every investigation in which exploratory data analysis is used to help to decide upon the statistical model appropriate for the final analysis. The term “diagnostic check”has been suggested by Box and Jenkins for these procedures. Traditional statistical tests often suggest useful diagnostic checks -and this, in my view, is what tests are mainly good for-but visual examination and interpretation of data plots are often equally important. Biere is also much to be gained by the development of new diagnostic checks, and testing theory may be useful as one guide to this development.     

Reverse Regression,Fairness, and Employment Discrimination

Possible salary discrimination can be studied by comparing mean salaries of, say, males and females, after statistical adjustment for differences in job qualifications. The adjustment is often made by regression, with salary as dependent variable, and job qualifications and sex as independent variables. One might also regress job qualifications on salary and sex, a procedure called reverse regression. Ideas about fairness as well as technical concepts are relevant to discrimination studies. There are two distinct aspects of fairness, one based on comparisons of salary and the other based on comparisons of qualifications. Both concepts are needed to evaluate fairness.     

Book Reviews

Abstract

Author: Jacquelin Tivers and Michael Day Title: The Viking Children's World Atlas Publisher. The Viking Press-Junior Books 40 W. 23rd St. NY, NY 10010 Date of Publication: 1983 Price: $6.95 Audience: Ages 5 to 12 Introductory Atlas Reviewed by Tom Collins.

Title: Preserving America's Past. Publisher: National Geographic Society Date of Publication: 1983 Price: $6.95 Audience: Middle School to Adult Reviewed by Barbara Harris.     

Occupational Level and the Love of Money

Abstract

As an alternative to the embourgeoisement hypothesis, Goldethorpe, et al., have advanced the notion that the modern working class is privatized in social relations and money-oriented in culture. The present paper addresses itself to this latter point of money-orientedness. Presenting data from a 1973 national survey, the findings support the idea that semi-skilled and unskilled workers place a greater emphasis on money than do other occupational levels. Differences in emphasis on the importance of money are not explained when income is used as a covariate. A part of these differences is explained by education. When both education and income are controlled, differences between occupational levels vanish except for the difference between the semiskilled/unskilled and all other levels. The findings tend to support Form's hypothesis of the ‘internal stratification of the working class” with increasing industrialization.     

Expertise: Between the Scylla of certainty and the new age charybdis

Scientists should be seen as expert advisors rather than producers of certainty. The progress of scientific controversies shows both why this is the case, and why it is so little understood. Those very close to the research front are aware of the many points at which experimental procedures and theoretical arguments could be wrong. They understand the ‘expert’ quality of their conclusions. Those further distanced from the research front are unaware of the immense complexity of the research and, consequently, are more certain of the truth of science.

That scientific results are less conclusive than they are generally taken to be does not mean that ‘anything goes’. There is a difference between experts and non‐experts; it is just that experts should not be expected to agree. Scientific controversies rarely end; it is usual to find equally well qualified experts on both sides of a scientific debate long after a view has been reached throughout the larger part of the scientific community.     

Testing drug additivity based on monotherapies

Under the Loewe additivity, constant relative potency between two drugs is a sufficient condition for the two drugs to be additive. Implicit in this condition is that one drug acts like a dilution of the other. Geometrically, it means that the dose‐response curve of one drug is a copy of another that is shifted horizontally by a constant over the log‐dose axis. Such phenomenon is often referred to as parallelism. Thus, testing drug additivity is equivalent to the demonstration of parallelism between two dose‐response curves. Current methods used for testing parallelism are usually based on significance tests for differences between parameters in the dose‐response curves of the monotherapies. A p‐value of less than 0.05 is indicative of non‐parallelism. The p‐value‐based methods, however, may be fundamentally flawed because an increase in either sample size or precision of the assay used to measure drug effect may result in more frequent rejection of parallel lines for a trivial difference. Moreover, similarity (difference) between model parameters does not necessarily translate into the similarity (difference) between the two response curves. As a result, a test may conclude that the model parameters are similar (different), yet there is little assurance on the similarity between the two dose‐response curves. In this paper, we introduce a Bayesian approach to directly test the hypothesis that the two drugs have a constant relative potency. An important utility of our proposed method is in aiding go/no‐go decisions concerning two drug combination studies. It is illustrated with both a simulated example and a real‐life example. Copyright © 2015 John Wiley & Sons, Ltd.