The legal rights of LGBT youth in state custody: what child welfare and juvenile justice professionals need to know

Youth in state custody, regardless of their sexual orientation or gender identity, have federal and state constitutional and statutory rights. These rights guarantee a young person safety in their placement as well as freedom from deprivation of their liberty interest. Many lesbian, gay, bisexual, and transgender (LGBT) youth have these rights violated on a regular basis. Many cases in both the child welfare and juvenile justice contexts have resulted in extensive and time-consuming consent decrees as well as sizable damages awards. Knowledge of a youth's legal rights can help providers avoid legal liability while creating a safer and healthier environment for LGBT youth. This article provides a general overview of the successful federal legal claims that youth in the child welfare and juvenile justice systems have made, discussion of the rights generated as a result, particle application of these rights to the experiences of LGBT youth with hypothetical scenarios, a focus on specific rights that emanate from certain state laws, and a focus on specific concerns of transgender youth.     

Business model design–performance relationship under external and internal contingencies: Evidence from SMEs in an emerging economy

We examined Business Model (BM) designs – performance relationship and the moderating effects of firm age and external environment on this relationship. Furthermore, we investigated the impact of simultaneously operating dual BM designs (i.e. novelty and efficiency) on firm performance and contingent effect of firm age on this relationship. Based on data from 241 Indian SMEs, our findings highlighted that BM novelty was of greater benefit to younger SMEs compared to mature SMEs, while BM efficiency was of greater benefit to more mature SMEs. The environmental dynamism positively moderated the relationship between BM novelty and performance but it negatively moderated the relationship between BM efficiency and performance. We also found that BM efficiency is more beneficial in a low, rather than a high, munificent environment but we found environmental munificence did not moderate the BM novelty and SME performance relationship. Finally, we found simultaneous deployment of BM novelty and BM efficiency resulted in an enhancement of performance among mature SMEs compared to younger SMEs. Our study not only adds to the limited literature on BMs in SMEs but also helps practicing managers and entrepreneurs to make informed choices about their BMs.     

How does inequality aversion affect inequality and redistribution?

We investigate the effects of inequality aversion on equilibrium labor supply, tax revenue, income inequality, and median voter outcomes in a society where agents have heterogeneous skill levels. These outcomes are compared to those which result from the behavior of selfish agents. A variant of Fehr-Schmidt preferences is employed that allows the externality from agents who are “ahead” to differ in magnitude from the externality from those who are “behind” in the income distribution. We find first, that inequality-averse preferences yield distributional outcomes that are analogous to tax-transfer schemes with selfish agents, and may either increase or decrease average consumption. Second, in a society of inequality-averse agents, a linear income tax can be welfare-enhancing. Third, inequality-averse preferences can lead to less redistribution at any given tax, with low-wage agents receiving smaller net subsidies and/or high-wage individuals paying less in net taxes. Finally, an inequality-averse median voter may prefer higher redistribution even if it means less utility from own consumption and leisure.     

Representations of Parent–Child Alliances in Children's Family Drawings

The purpose of this study was to investigate relationships between children's representations of parent–child alliances (PCA) and their peer relationship quality, using a new scale that was developed to rate representations of PCA in children's family drawings. The parent–child alliance pattern is characterized by a relationship between parent and child that is stronger than the marital relationship. We used family drawings to assess children's (at the ages of 4–8 years) representations of alliances because it is often difficult for children to express their perceptions of family dynamics verbally. Children whose drawings were rated higher in PCA were rated lower in prosocial behavior and assertiveness and higher in social problems by their teachers. These relationships were stronger for boys than for girls.     

Conversion to the world view of Alcoholics Anonymous: A refinement of conversion theory

Most empirical studies of the conversion process have focused on individuals who have come to espouse the world view of a deviant religious denomination or sect. Using observational data our research analyzes the conversion process by which individuals come to identify with the ideology propounded by Alcoholics Anonymous (A.A.). A.A. provides prospective alcoholics with both a solution to drinking problems and an overarching world view with which to reinterpret their past experience. The A.A. conversion process can be divided into six phases: hitting bottom, first stepping, making a commitment, accepting your problem, telling your story, and doing Twelfth Step work. Each of these phases is described in detail. Similarities and differences are noted between the observed A.A. conversion process and the model generally described in the sociological literature on religious conversion. Our analysis indicates certain weaknesses in the process-model explanation of conversion and points to the necessity of taking into account organizational context and situational variables.An earlier version of this paper was presented at the Annual Meetings of the Society for the Scientific Study of Religion, San Antonio, Texas, October, 1979.     

TANF Participation Rates: Do Community Conditions Matter?*

Abstract A general criticism of the 1996 Welfare Reform Act is that it is primarily the result of an urban political agenda, and it may hurt rather than help the rural poor. Under the new welfare system, the rural poor that are most likely to be affected are those who live in socially, economically, and spatially disadvantaged communities. More residents in these communities are likely to need TANF, clients in these communities are least likely to leave TANF by finding employment, and community organizations are likely to have more limited resources to help TANF recipients. The objective of this study is to examine the extent to which variations in community conditions account for differences in TANF participation rates. Using 1997 TANF data from the Mississippi Department of Human Services, we estimated OLS regression models of local TANF participation rates across 100 communities in nonmetro counties. The results indicate that TANF participation rates tend to be higher in communities with high concentrations of African Americans, less faith‐based activeness, more employment in retail trade, spatial concentration of the poor, and located in the Delta.     

Computation of the Two-Sample Smirnov Statistics

A simple method is given for evaluating the one- or two-sided Smirnov statistic for comparing two independent samples from continuous populations.     

A two-sample distribution-free scale test of the smirnov type

The two-sample, distribution-free statistics of Smirnov (1939) are used to define a new statistic. While the Smirnov statistics are used as a general goodness-of-fit test, a distribution-free scale test based on this new statistic is developed. It is shown that this new test has higher power than the two-sided Smirnov statistic in detecting differences in scale for some symmetric distributions with equal means/medians. The critical values of the proposed test statistic and its limiting distribution are given     

Location and Scale Estimation with Correlation Coefficients

This article shows how to use any correlation coefficient to produce an estimate of location and scale. It is part of a broader system, called a correlation estimation system (CES), that uses correlation coefficients as the starting point for estimations. The method is illustrated using the well-known normal distribution. This article shows that any correlation coefficient can be used to fit a simple linear regression line to bivariate data and then the slope and intercept are estimates of standard deviation and location. Because a robust correlation will produce robust estimates, this CES can be recommended as a tool for everyday data analysis. Simulations indicate that the median with this method using a robust correlation coefficient appears to be nearly as efficient as the mean with good data and much better if there are a few errant data points. Hypothesis testing and confidence intervals are discussed for the scale parameter; both normal and Cauchy distributions are covered.