Keeping children on top of the states' policy agendas

There is no longer any doubt that national consciousness of the truth that the future always depends on today's children has reached new levels of legislative action. This article cites Alaska's progress, and what has been and has not been achieved, and movements in other states, as a call to vigorous action.     

Organizing for Public Policy Effect: Aggregate Affiliated Interests in the American States*

Recent advances in the study of organizations suggest that various environmental characteristics should affect the structural characteristics of interest groups. We explore this thesis using a data set of lobbying in the American states. We use OLS regression to determine the effect of variables to measure the concepts of societal system, political culture, lobbyist registration, and state expenditures. We find that the most important variable is the total number of state lobbying efforts. In addition, as the number of lobbying increases among the states we found that a larger proportion of lobbying has been conducted by interest groups acting on their own, instead of creating affiliated aggregates. In addition, adding more variables does not increase the explanative value of the model.     

Bayesian least squares estimates of univariate regression functions

The regression function R(?) to be estimated is assumed to have an expansion in terms of specified functions, orthogonalized vich respect to values of the explanatory variable. Relative precisions of OBSERVATION are assumed known. The estimate is the posterior linear mean of R(?) given the data. The investigator plots graphs of appropriate functions as an aid in eliciting his prior means and precisions for the coefficients in the expansion. The method is illustrated by an example using simulated data, an example in which effects of various dosages of Vitamin D are estimated, and an example in which a utility function is estimated.     

Dare to Care: Exploring the Relationships between Socio-Moral Climate,Perceived Stress,and Work Engagement in a Social Service Agency

Abstract

Human service professionals working in an interpersonal violence social service agency are at increased risk of experiencing emotional burnout, compassion fatigue, and high levels of stress, which may reduce work engagement, increase turnover, and ultimately negatively affect client outcomes. However, a positive organizational climate has the potential to buffer the negative effects of perceived stress on work engagement. Socio-moral climate is a behavioral-based organizational construct that assumes that workplace practices and procedures can impact employees’ attitudes and behaviors. This exploratory study (N?=?41) investigates the relationships between perceived stress, work engagement, and socio-moral climate in a social service agency serving survivors of interpersonal violence, comparing employees with direct interactions with clients in a shelter to those with indirect contact at a different location. Results of moderation analyses show that socio-moral climate significantly predicts higher work engagement, while perceived stress is negatively associated with work engagement; however, the interaction effect was not significant and there were no differences in perceived stress between both employees. Further research should continue to investigate the role of socio-moral climate on employee work engagement in social service agencies, which could improve the quality of services for their clients.     

Bayes least squares linear estimation of densities

Linear, least squares statistical methods in which the "parameters" are interpreted as random variables were introduced by Whittle, and further developed by Hartigan and others. They are applied here to the problem of estimating the coefficients in an orthogonal expansion of a multivariate density, given a simple random sample.