The exponentiated power exponential regression model with different regression structures: application in nursing data

We define the exponentiated power exponential distribution and propose a regression model with different systematic structures based on the new distribution. We show that the new regression model can be applied to dispersion data since it represents a parametric family of models that includes as sub-models some widely-known regression models. It then can be used more effectively in the analysis of real data. We use maximum likelihood estimation and derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes. Some global-influence measurements are also investigated and simulation studies are performed to evaluate the accuracy of the estimates. We provide an application of the regression model with four systematic structures to nursing activities score data in the Unit of the Medical Clinic of University of São Paulo (USP) Hospital.     

Child Obesity and the Interaction of Family and Neighborhood Socioeconomic Context

Population Research and Policy Review - The literature on neighborhoods and child obesity links contextual conditions to risk, assuming that if place matters, it matters in a similar way for...     

Periodic review of foster care: a brief national assessment.

A survey of statewide public agencies shows that a majority of states have some form of judicial or administrative periodic review, although few have both. The organizational level of authority and degree of foster care specialization of agencies are positively correlated with administrative review and negatively correlated with judicial review.     

Making the Randomized Response Technique Work

The ability of the randomized response technique to obtain sensitiveinformation on surveys was compared to two other methods involvingself-administered questionnaires. Using a national probabilitysample, and extending upon a number of developmental changeswhich have evolved over the years, the randomized response techniqueproved to be decidedly superior to the other methods.     

Models of social mobility

Properties of measures and models of social mobility are analyzed in relation to the conceptualization of mobility. Two main objectives of mobility research are identified. One is the study of determinants of occupational achievement, the other is the study of mobility as a characteristic of social systems. It is shown that the realization of both objectives is hindered by a failure of commonly used models and measures of mobility to separate out the various individual and structural factors responsible for mobility.     

Determining the importance of an independent variable: A path analytic solution

Various methods have been proposed for evaluating the importance of an independent variable in determining a given dependent variable. This paper suggests that the analysis of direct and indirect effects in a recursive causal model can provide a more satisfactory evaluation than the ordinary correlation and regression techniques commonly used. The interpretation of an independent variable's impact derived from a path model is generally more adequate because it is able to take into account the operation of indirect effects and spuriousness. To demonstrate this contention, data gathered by the author to explain organizational innovation are presented.