INTERVENTION PLANNING FOR THE FAMILY OF THE AUTISTIC CHILD: A MULTILEVEL ASSESSMENT OF THE FAMILY SYSTEM*

The clinician working with the family of an autistic child may need to assess the family at several levels. The first level requires an assessment of the behavioral deficits and excesses of the child. The next level examines the family in terms of their behavioral skills and the impediments that occur when they implement behavior change programs. The third level involves assessing the family unit to identify obstacles to change. While many well-functioning families may be stressed by the crises that arise in raising an autistic child, other families are predisposed to dysfunction regardless of the presence of the child.     

Job creation: New work for women?

The movement of some women into self employment is considered in this paper. It is argued that if this movement is to be successful, and thus have any influence on the equality of employment opportunities, then it is necessary for the business ventures involved to be run strategically rather than operationally. It is also argued that there must be greater scope and encouragement for innovation in this area, otherwise there is a danger of mirroring, in new business formation, the structure of inequality that applies to the formal, and declining, structure of current employment. Finally, the paper examines the need for women's entrepreneurial ventures to be better accepted by and integrated into the wider social fabric. The potential sources of stress and of satisfaction in women's self employment are noted.     

Relationship satisfaction and sexual satisfaction: a longitudinal study of individuals in long-term relationships

This study examined the association between relationship satisfaction and sexual satisfaction over time to provide evidence about possible causal explanations for the association between two variables. Eighty-seven individuals in long-term relationships completed measures of sexual satisfaction and relationship satisfaction at 2 times 18 months apart. There was only limited evidence, based on exploratory analysis, to support either the hypothesis that changes in a relationship satisfaction lead to changes in sexual satisfaction or the hypothesis that changes in sexual satisfaction lead to changes in relationship satisfaction. However, sexual satisfaction and relationship satisfaction wer found to change concurrently. The quality of intimate communication accounted for part of the concurrent changes in relationship satisfaction and sexual satisfaction. I discuss the results in terms of the need to develop more complex models depicting the longitudinal associations between relationship satisfaction and sexual satisfaction.     

Differences in childhood sexual abuse experience between adult Hispanic and Anglo women in a primary care setting

The literature on racial and ethnic factors in childhood sexual abuse is limited. The purpose of this exploratory study was to document Hispanic-Anglo differences in childhood sexual abuse experiences and assess whether these differences may be explained by socio-demographic and family environmental differences. Adult Hispanic (n = 69) and Anglo (n = 19) women from a family medicine clinic waiting room reporting a history of childhood sexual abuse completed an in-depth survey concerning the sexual abuse experience and their childhood environment. In this study, Hispanics were more likely to report a family member as the perpetrator and to experience more self-blame as a result of the abuse. Hispanics were also more likely to take action in response to the abuse, especially those who were more acculturated to U.S. culture. However, most of the observed differences in this study could be explained by socio-demographic or family environment variables, not by ethnic background. Qualitative research on the family environments of Hispanic victims of child sexual abuse may further explicate the dynamics and risk factors for abuse by family members.     

Present and accounted for: measuring attendance in out-of-school-time programs

Evidence is emerging that youth who attend out-of-school-time (OST) programs more frequently and for longer periods of time benefit more than youth who attend less frequently or do not attend at all. It is also increasingly clear that children and youth will not reap the benefits of programs if they do not attend regularly. Collecting attendance data can help program leaders gauge demand for services, plan and manage programs effectively, and evaluate participant outcomes in relation to attendance. This chapter presents these and other reasons for collecting attendance data, as well as the methods and techniques that program leaders and researchers have at their disposal for measuring attendance. It describes four indicators of attendance--absolute attendance, intensity, duration, and breadth--that can provide detailed information and insight about youth participants and their use of programs. The chapter also provides tips for collecting attendance data and features examples from OST programs. Throughout, the chapter illustrates that the right indicators and data collection methods depend on program needs, characteristics, and goals.     

An Endangered Species: The Female as Addict or Member of an Addict Family*

When a woman is the identified addict or a member of a drug/alcohol abusing family system she often experiences considerably more psychiatric abuse than her male cohorts. This paper surveys some of the representative literature reflecting attitudes and practices imposed on these women. Explanations based on a study of healthy family systems are given with interpretations anchored in cultural rather than sexist phenomena. It is suggested that women need to be understood according to the complex interlocking transactions within family systems.     

Adaptive estimation of the conditional cumulative distribution function from current status data

Consider a positive random variable of interest Y depending on a covariate X, and a random observation time T independent of Y given X. Assume that the only knowledge available about Y is its current status at time T  : δ=_I{Y≤T}$\delta ={\mathbb{I}}_{\{Y\le T\}}$ with I$\mathbb{I}$ the indicator function. This paper presents a procedure to estimate the conditional cumulative distribution function F of Y given X   from an independent identically distributed sample of (X,T,δ)$(X,T,\delta )$.     

Distance-based approach in univariate longitudinal data analysis

In this paper, we propose a methodology to analyze longitudinal data through distances between pairs of observations (or individuals) with regard to the explanatory variables used to fit continuous response variables. Restricted maximum-likelihood and generalized least squares are used to estimate the parameters in the model. We applied this new approach to study the effect of gender and exposure on the deviant behavior variable with respect to tolerance for a group of youths studied over a period of 5 years. Were performed simulations where we compared our distance-based method with classic longitudinal analysis with both AR(1) and compound symmetry correlation structures. We compared them under Akaike and Bayesian information criterions, and the relative efficiency of the generalized variance of the errors of each model. We found small gains in the proposed model fit with regard to the classical methodology, particularly in small samples, regardless of variance, correlation, autocorrelation structure and number of time measurements.     

On the use of different metrics for assessing complex pattern reproductions

Nowadays, there is an increasing interest in multi-point models and their applications in Earth sciences. However, users not only ask for multi-point methods able to capture the uncertainties of complex structures and to reproduce the properties of a training image, but also they need quantitative tools for assessing whether a set of realizations have the properties required. Moreover, it is crucial to study the sensitivity of the realizations to the size of the data template and to analyze how fast realization-based statistics converge on average toward training-based statistics. In this paper, some similarity measures and convergence indexes, based on some physically measurable quantities and cumulants of high-order, are presented. In the case study, multi-point simulations of the spatial distribution of coarse-grained limestone and calcareous rock, generated by using three templates of different sizes, are compared and convergence toward training-based statistics is analyzed by taking into account increasing numbers of realizations.