Organisational Identity of Social Enterprises: A Taxonomic Approach

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This paper describes an exploratory study aiming to investigate the existence of distinct groups of social enterprises...     

The McDonald Gumbel model

ABSTRACT

We propose a new model called the McDonald Gumbel distribution, the major advantage of which is its ability to fit asymmetric real data that can not be properly adjusted by existing distributions. This model contains as special models the Gumbel, exponentiated Gumbel (Persson and Rydén, 2010 Persson, K., Rydén, J. (2010). Exponentiated Gumbel distribution for estimation of return levels of significant wave height. J. Environ. Statist. 1:1–12. [Google Scholar]), beta Gumbel (Nadarajah and Kotz, 2004 Nadarajah, S., Kotz, S. (2004). The beta Gumbel distribution. Mathemat. Prob. Eng.323–332.[Crossref], [Web of Science ®] , [Google Scholar]), Kumaraswamy Gumbel distributions, among others. We obtain the ordinary moments, quantile and generating functions and mean deviations. The method of maximum likelihood is used to fit the proposed distribution. The applicability of the new model is illustrated by means of two real data sets.     

Modelling interval data with Normal and Skew-Normal distributions

A parametric modelling for interval data is proposed, assuming a multivariate Normal or Skew-Normal distribution for the midpoints and log-ranges of the interval variables. The intrinsic nature of the interval variables leads to special structures of the variance–covariance matrix, which is represented by five different possible configurations. Maximum likelihood estimation for both models under all considered configurations is studied. The proposed modelling is then considered in the context of analysis of variance and multivariate analysis of variance testing. To access the behaviour of the proposed methodology, a simulation study is performed. The results show that, for medium or large sample sizes, tests have good power and their true significance level approaches nominal levels when the constraints assumed for the model are respected; however, for small samples, sizes close to nominal levels cannot be guaranteed. Applications to Chinese meteorological data in three different regions and to credit card usage variables for different card designations, illustrate the proposed methodology.     

Connectivity and Resilience: A Multidimensional Analysis of Infrastructure Impacts in the Southwestern Amazon

Infrastructure is a worldwide policy priority for national development via regional integration into the global economy. However, economic, ecological and social research draws contrasting conclusions about the consequences of infrastructure. We present a synthetic approach to the study of infrastructure, focusing on a multidimensional treatment of indicators of connectivity and resilience. As our study case, we adopt a tri-national frontier in the southwestern Amazon being integrated by a highway, and use survey data for rural leaders to evaluate the relationship of community connectivity to market towns and social-ecological resilience. The findings show varying relationships among different dimensions of connectivity and resilience, which bear implications regarding indicator approaches to the study of infrastructure impacts.     

Heteroscedastic Weibull-Normal Mixture Models: A Bayesian Approach

In this article, we propose Bayesian methodology to obtain parameter estimates of the mixture of distributions belonging to the normal and biparametric Weibull families, modeling the mean and the variance parameters. Simulated studies and applications show the performance of the proposed models.     

Differential effects of parental control on preschool-age adjustment depending on child effortful control

This study examined whether parental control differentially predicted children's effortful control and adjustment depending on children's levels of executive control and delay ability. Using longitudinal data, the study included 241 preschool-age children and their mothers. Fifty-seven percent of the sample was lower income and included 64% White, 10% Latino/Hispanic, 9% Black, 3% Asian-American, 2% Native or American Indian, and 12% multiple racial/ethnic backgrounds. Interactions between aspects of parental and child control at 3-years-old were tested as predictors of mother-reported child effortful control at 4.5 years and teacher-reported adjustment at 5.5 years. Children's early levels of executive control and delay ability moderated the relations of some forms of parental control with child outcomes, although several hypothesized interactions were nonsignificant. Low parental autonomy respect predicted higher externalizing for children initially high in executive control but predicted lower externalizing for children initially low in executive control. Conversely, high autonomy respect predicted higher impulsivity for children low in delay ability but higher social competence for children high in delay ability. Finally, low maternal negative control predicted higher internalizing for children low in delay ability, whereas it predicted higher internalizing for children high in delay ability. These findings suggest that in some cases the type and degree of parental control should match a child's level of effortful control to support their social, emotional, and behavioral adjustment optimally.