Strength in Diversity? Group Heterogeneity in the Mobilization of Grassroots Organizations

Grassroots groups often find that they need to manage issues of diversity along racial/ethnic, class, gender, religious, and/or citizenship lines, among several other axes of difference. There are strong reasons to expect that diversity is a benefit to such groups, especially in terms of coalition breadth and the widely held expectation that internal heterogeneity helps organizations to resolve collective action dilemmas. Nonetheless, a long tradition within sociological research sets out the expectation that group heterogeneity thwarts the formation of collective identities and group solidarity, and therefore limits the potential for effective organizing. With a particular emphasis on groups active in local community‐based organizing since the 1970s, we review studies on a variety of features of group diversity and their effects on mobilizing processes. We find that although researchers remain somewhat divided on these critical issues, the preponderance of evidence suggests that managing diversity poses significant challenges for grassroots organizing efforts. While these challenges may not easily be overcome, we point to a variety of cases in which group differences offered a significant asset to social change efforts.     

A Bayesian approach to non-parametric monotone function estimation

Summary.  The paper proposes two Bayesian approaches to non-parametric monotone function estimation. The first approach uses a hierarchical Bayes framework and a characterization of smooth monotone functions given by Ramsay that allows unconstrained estimation. The second approach uses a Bayesian regression spline model of Smith and Kohn with a mixture distribution of constrained normal distributions as the prior for the regression coefficients to ensure the monotonicity of the resulting function estimate. The small sample properties of the two function estimators across a range of functions are provided via simulation and compared with existing methods. Asymptotic results are also given that show that Bayesian methods provide consistent function estimators for a large class of smooth functions. An example is provided involving economic demand functions that illustrates the application of the constrained regression spline estimator in the context of a multiple-regression model where two functions are constrained to be monotone.     

Some Outstanding Issues in the Debate on External Promotion of Land Privatisation

Since the early 1990s, the dominant consensus in the debate on land rights reform in sub‐Saharan Africa has been that external interventions to privatise land rights are usually inappropriate and likely to remain so. This article suggests that two elements in the debate – the scope for varying adjudication criteria, procedures and support systems in order to enhance equity, and the influence of a region's agro‐ecological and socioeconomic characteristics on the impacts of tenure change – merit further attention. The article urges a shift towards a more pragmatic approach, sensitive to the diversity of both physical and socio‐economic conditions within which tenure systems operate. Illustrative evidence is drawn from a relatively low‐potential farming region in eastern Kenya.     

An Improved Boxplot for Univariate Data

The boxplot is an effective data-visualization tool useful in diverse applications and disciplines. Although more sophisticated graphical methods exist, the boxplot remains relevant due to its simplicity, interpretability, and usefulness, even in the age of big data. This article highlights the origins and developments of the boxplot that is now widely viewed as an industry standard as well as its inherent limitations when dealing with data from skewed distributions, particularly when detecting outliers. The proposed Ratio-Skewed boxplot is shown to be practical and suitable for outlier labeling across several parametric distributions.     

Aggregating Political Dimensions: Of the Feasibility of Political Indicators

Political indicators are widely used in academic writing and decision making, but remain controversial. This paper discusses the problems related to the aggregation functions they use. Almost always, political indicators are aggregated by weighted averages or summations. The use of such functions is based on untenable assumptions (existence of homogeneous substitution rates, total compensation, and strict monotonicity). We show through concrete examples how these hidden assumptions are likely to produce results that are basically an artifact of ad hoc decisions, which additionally contradict very fundamental notions common to all credible political theories. We suggest, also through example, that some—necessarily partial—solutions are possible.     

Adoption in Clinical Psychology: A Review of the Absence, Ramifications, and Recommendations for Change

Practicing clinical psychologists reported that 5 to 10% of their patients are adoption triad members (Sass & Henderson, 1999) and yet recent studies concluded that the majority of psychologists are not being taught about adoption-related issues in their preservice raining (Post, 1999; Sass & Henderson, 1999). This article discusses the need for training on adoption in the context of the APA Guidelines and Principles for Accreditation of Programs in Professional Psychology; Domain D, which states that programs must provide students with relative knowledge and experiences about the role of cultural and individual diversity in psychological phenomenon as they relate to the science and practice of professional psychology (1996, p. 15), the omission of adoption from curricula, and potential ramifications of this absence.     

Beyond expectancy theory: an integrative motivational model from health care

Expectancy theory has been criticized for its omission of normative, habitual, and other motivational elements. This paper describes the sources and features of an integrative motivational model from the field of preventive health care that combines expectancy/valence factors with habitual, normative, and conative motivational elements. The model is viewed as having implications for work motivation as well.