Revolutionary Horizons: Past and Present in Bolivian Politics

Revolutionary Horizons, by Forrest Hylton and Sinclair Thomson,is a highly readable work that contributes to understandingthe recent events that have placed Bolivia, once erased fromthe map by Queen Victoria following the expulsion of her emissaryin the nineteenth century, in the spotlight of observers ofprogressive movements around the world. With an insightful introductionby Adolfo Gilly, the book provides an accessible analysis ofthe events that led to the inauguration of Evo Morales, thefirst indigenous president in Bolivian history, in January 2006,ending the epoch of Andean apartheid. More than a simple recounting,     

Recruiting fathers to parenting programs: Advice from dads and fatherhood program providers

The benefits of high-quality father–child relationships for fathers and children alike are well documented. While evidence suggests parenting programs can improve the quality of father–child relationships, few fathers participate in such programs. This qualitative study aims to fill the gap in knowledge on best practices for recruiting urban African American fathers, a group of fathers with unique parenting challenges, to parenting programs. Focus groups were conducted with 29 fathers to gain their perspectives on recruitment strategies. Semi-structured interviews were also conducted with a nationwide sample of 19 fatherhood program providers to learn about their most successful recruitment strategies. Recruitment strategies based on emergent themes from the focus groups and interviews are presented here. Themes included using word-of-mouth recruitment, increasing advertising, targeting advertising specifically to urban African American fathers, providing transportation and incentives, recruiting through the courts, collaborating with other community agencies, and offering parenting programming along with other programming valued by fathers such as employment assistance. Implications for developing strategies for recruiting urban African American fathers to parenting programs are discussed.     

Physical fitness effects on substance abuse risk factors and use patterns

In this study, seventy-four adolescents in either a school, community or hospital based drug intervention program received and eight to nine week structured fitness activity class as an integrated element of their respective prevention or treatment program. Prepost assessments indicated significant gains in the field fitness tests of one mile run, 1 minute situp, 1 minute pushup, percent fat and flexibility for the total sample. Based upon prepost change on the one mile run time (less than 1:00) subjects were categorized as improvers (n = 38) and non-improvers (n = 36). Improvers demonstrated a significant increase in the self concept risk factor (Piers Harris Self Concept Scale) and a significant decrease in anxiety and depression risk factors (General Well-Being Scale) compared to the non-improvers. At posttest, the improvers self reported substance use patterns were significantly lower compared to the non-improvers for percentage of the sample who were multiple drug users and alcohol uses per week and were significantly higher for the percentage of the sample demonstrating total abstinence. These findings are suggestive of the usefulness of physical training as a supplemental intervention for adolescent substance abusers.     

Bounded influence estimation for regression and scale

Bednarski and Müller [Optimal bounded influence regression and scale M-estimators in the context of experimental design, Statistics 35 (2001), pp. 349–369] introduced a class of bounded influence M estimates for the simultaneous estimation of regression and scale in the linear model with normal errors by solving the corresponding normal location and scale problem at each design point. This limits the proposal to regressor distributions with finite support. Based on their approach, we propose a slightly extended class of M estimates that is not restricted to finite support and is numerically easier to handle. Moreover, we employ the even more general class of asymptotically linear (AL) estimators which, in addition, is not restricted to normal errors. The superiority of AL estimates is demonstrated by numerical comparisons of the maximum asymptotic mean-squared error over infinitesimal contamination neighbourhoods.     

Strategies for growth: Intervention in a church

This article is a case study of a small, local congregation, and reports the results of an intervention aimed at evaluation and change of existing organizational strategy. It presents both a summary of one applicable business model, and the techniques and procedures employed in assisting both the general membership and church leaders in self-evaluation and long-range planning. The intervention resulted in increased awareness of organizational problems and needs, and provided a basis for future choices involving pastoral leadership, programme development and institutional needs. The events occured while the author served as temporary, interim pastor during 1980 and 1981.     

The cost of not knowing the radius

Robust Statistics considers the quality of statistical decisions in the presence of deviations from the ideal model, where deviations are modelled by neighborhoods of a certain size about the ideal model. We introduce a new concept of optimality (radius-minimaxity) if this size or radius is not precisely known: for this notion, we determine the increase of the maximum risk over the minimax risk in the case that the optimally robust estimator for the false neighborhood radius is used. The maximum increase of the relative risk is minimized in the case that the radius is known only to belong to some interval [r _l ,r _u ]. We pursue this minmax approach for a number of ideal models and a variety of neighborhoods. Also, the effect of increasing parameter dimension is studied for these models. The minimax increase of relative risk in case the radius is completely unknown, compared with that of the most robust procedure, is 18.1% versus 57.1% and 50.5% versus 172.1% for one-dimensional location and scale, respectively, and less than 1/3 in other typical contamination models. In most models considered so far, the radius needs to be specified only up to a factor , in order to keep the increase of relative risk below 12.5%, provided that the radius–minimax robust estimator is employed. The least favorable radii leading to the radius–minimax estimators turn out small: 5–6% contamination, at sample size 100.      

The parenting role of African-American fathers in the context of urban poverty

This qualitative study examines low-income African-American fathers' perceptions of their parenting role and the strategies they employ to bring up children in poor urban neighborhoods. Focus groups and individual interviews were conducted with 36 fathers who had contact with their children at least twice a month. Men in the study expressed conventional views of their fathering roles as provider, nurturer, and teacher, but placed the most emphasis on ‘being there’ for their children, as their financial circumstances limited other forms of involvement. Many fathers felt their circumstances to be exacerbated by a hostile child-support system. They desired to teach their children alternatives to the negative practices and values they saw in their urban neighborhoods and to have the skills to prosper in mainstream society. Overall, the findings suggest that many low-income urban fathers already desire to be responsible fathers but see themselves as limited by material and structural challenges. Services and policies that promote the economic stability of low-income fathers are recommended.     

Firm-specific human capital, job matching, and turnover: evidence from major league baseball, 1900–1992

The two dominant labor market turnover hypotheses, the firm-specific human capital model (FSHCM) and the job-matching model, suggest different patterns of player mobility in major league baseball. The matching hypothesis predicts greater mobility of players in positions that require substantial team production. A better match may offer large productivity gains. Alternately, the FSHCM predicts players in positions requiring the greatest amount of teamwork will benefit from specific knowledge, making them less likely to change teams. We examine the frequency distribution of trades by player position from 1900–1992 and find the FSHCM provides the best explanation for turnover in this industry.     

Anticipating acceptance of emerging technologies using twitter: the case of self-driving cars

In an early stage of developing emerging technologies, there is often great uncertainty regarding their future success. Companies can reduce this uncertainty by listening to the voice of customers as the customer eventually decides to accept an emerging technology or not. We show that risk and benefit perceptions are central determinants of acceptance of emerging technologies. We present an analysis of risk and benefit perception of self-driving cars from March 2015 until October 2016. In this period, we analyzed 1,963,905 tweets using supervised machine learning for text classification. Furthermore, we developed two new metrics, risk rate (RR) and benefit rate (BR), which allow analyzing risk and benefit perceptions on social media quantitatively. With our results, we provide impetus for further research on acceptance of self-driving cars and a methodological contribution to acceptance of emerging technologies research. Furthermore, we identify crucial issues in the public perception of self-driving cars and provide guidance for the management of emerging technologies to increase the likelihood of their acceptance.     

Measuring Fidelity in Research Studies: A Field Guide to Developing a Comprehensive Fidelity Measurement System

An accurate assessment of fidelity, combined with a high degree of fidelity to the intervention, is critical to the reliability, validity, replicability, and scale-up of the results of an intervention research study. However, extant measures of fidelity are infrequently applicable to the program or intervention being studied, and the literature lacks guidance on the specific process of developing a system to measure fidelity in a manualized intervention. This article describes a five-step process to define the scope, identify components, develop tools, monitor fidelity, and analyze outcomes to develop a comprehensive fidelity measurement system for an intervention. The process describes the components, measures and key decisions that form a comprehensive fidelity measurement system. In addition, the process is illustrated by a case study of the development of a fidelity measurement system for a research study testing Pathways Triple P, a behavioral parent-training program, with a population of child welfare-involved families. Pathways Triple P is a common, manualized intervention and the process described in this article can be generalized to other manualized interventions. The implications and requirements for accurately assessing and monitoring fidelity in research studies and practice are discussed.