Assimilation or Acculturation Problems of Aboriginal Families

Policies of colonisation and assimilation have had devastating consequences for Aboriginal people. Emphasis must be given to strategies far more diverse than economic development.     

Understanding variation in marital sexual pleasure: an impossible task?

Over the past twenty years, sociologists have begun to explore the social and cultural context within which sexual relationships are constructed and in Western society, given such importance. However, although it is commonly recognised that the contraceptive pill has changed the meaning of sexuality (Giddens, 1992; Ferguson, 1989) comparatively little attention has been paid to locating the level of pleasure married women derive from marital sex within the situational, structural and cultural parameters of their lives. The material in this paper is based on intensive interviews with 60 married women, aged 20–42 years old and randomly selected from the records of general medical practitioners in North London. The paper indicates that methodological squeamishness about the viability of a study of sexual pleasure is unwarranted. It shows that only just over one third of these respondents had a high level of sexual pleasure on the scale devised in the study (weighted kappa=.89). For the most part, such pleasure was not associated with other aspects of the marital relationship. Drawing on illustrative material, it locates such pleasure within the context of their marital and family situation and suggests future lines of enquiry.     

Assessing reoffense risk with juvenile sexual offenders

This article summarizes a two-year study of juvenile sexual offenders in Washington. Both community-based and institution-based treatment programs were evaluated. A typical profile of the juvenile sexual offender is offered, as well as recidivism data from a mean 20-month follow-up period.     

M-quantile models with application to poverty mapping

Over the last decade there has been growing demand for estimates of population characteristics at small area level. Unfortunately, cost constraints in the design of sample surveys lead to small sample sizes within these areas and as a result direct estimation, using only the survey data, is inappropriate since it yields estimates with unacceptable levels of precision. Small area models are designed to tackle the small sample size problem. The most popular class of models for small area estimation is random effects models that include random area effects to account for between area variations. However, such models also depend on strong distributional assumptions, require a formal specification of the random part of the model and do not easily allow for outlier robust inference. An alternative approach to small area estimation that is based on the use of M-quantile models was recently proposed by Chambers and Tzavidis (Biometrika 93(2):255–268, 2006) and Tzavidis and Chambers (Robust prediction of small area means and distributions. Working paper, 2007). Unlike traditional random effects models, M-quantile models do not depend on strong distributional assumption and automatically provide outlier robust inference. In this paper we illustrate for the first time how M-quantile models can be practically employed for deriving small area estimates of poverty and inequality. The methodology we propose improves the traditional poverty mapping methods in the following ways: (a) it enables the estimation of the distribution function of the study variable within the small area of interest both under an M-quantile and a random effects model, (b) it provides analytical, instead of empirical, estimation of the mean squared error of the M-quantile small area mean estimates and (c) it employs a robust to outliers estimation method. The methodology is applied to data from the 2002 Living Standards Measurement Survey (LSMS) in Albania for estimating (a) district level estimates of the incidence of poverty in Albania, (b) district level inequality measures and (c) the distribution function of household per-capita consumption expenditure in each district. Small area estimates of poverty and inequality show that the poorest Albanian districts are in the mountainous regions (north and north east) with the wealthiest districts, which are also linked with high levels of inequality, in the coastal (south west) and southern part of country. We discuss the practical advantages of our methodology and note the consistency of our results with results from previous studies. We further demonstrate the usefulness of the M-quantile estimation framework through design-based simulations based on two realistic survey data sets containing small area information and show that the M-quantile approach may be preferable when the aim is to estimate the small area distribution function.     

Improving Risk Management: From Lame Excuses to Principled Practice

The three classic pillars of risk analysis are risk assessment (how big is the risk and how sure can we be?), risk management (what shall we do about it?), and risk communication (what shall we say about it, to whom, when, and how?). We propose two complements as important parts of these three bases: risk attribution (who or what addressable conditions actually caused an accident or loss?) and learning from experience about risk reduction (what works, and how well?). Failures in complex systems usually evoke blame, often with insufficient attention to root causes of failure, including some aspects of the situation, design decisions, or social norms and culture. Focusing on blame, however, can inhibit effective learning, instead eliciting excuses to deflect attention and perceived culpability. Productive understanding of what went wrong, and how to do better, thus requires moving past recrimination and excuses. This article identifies common blame‐shifting “lame excuses” for poor risk management. These generally contribute little to effective improvements and may leave real risks and preventable causes unaddressed. We propose principles from risk and decision sciences and organizational design to improve results. These start with organizational leadership. More specifically, they include: deliberate testing and learning—especially from near‐misses and accident precursors; careful causal analysis of accidents; risk quantification; candid expression of uncertainties about costs and benefits of risk‐reduction options; optimization of tradeoffs between gathering additional information and immediate action; promotion of safety culture; and mindful allocation of people, responsibilities, and resources to reduce risks. We propose that these principles provide sound foundations for improving successful risk management.     

Cell Phone Survey Feasibility in The U.S.: Sampling and Calling Cell Numbers Versus Landline Numbers

In 2004, we conducted a nationwide dual frame survey of landlineand cell phone numbers to evaluate the feasibility of includingcell phone numbers in a random digit dial telephone survey.Households with both landline and cell phones were eligiblefor selection in both samples. This article describes our designand data collection methods; compares the results from the twosamples (with an emphasis on operational characteristics); andpresents the outcomes of two experimental manipulations designedto improve the cell phone response rate.     

Semiparametric sieve maximum likelihood estimation under cure model with partly interval censored and left truncated data for application to spontaneous abortion

Lifetime Data Analysis - This work was motivated by observational studies in pregnancy with spontaneous abortion (SAB) as outcome. Clearly some women experience the SAB event but the rest do not....     

“Why I Can't Stand Out in Front of My House?”: Street‐Identified Black Youth and Young Adult's Negative Encounters With Police

This street participatory action research (Street PAR) study organized 15 residents to document street‐identified Black youth and adult's negative experiences with police in Wilmington, Delaware. Data were collected on mostly street‐identified Black men and women aged 18–35 in the forms of (1) 520 surveys, (2) 24 individual interviews, (3) four dual interviews, (4) three group interviews, and (5) extensive field observations. Forty‐two percent of survey participants reported being stopped by police in the last year. However, with the exception of being “stopped,” participants overall reported little negative contact with police at least within the past year. Chi‐square and ANOVA analyses suggest an interactional relationship exists between race, gender, and age on experiences with police. Younger Black men (18–21) were found to have the most negative contact with police. Analysis suggests a smaller, more hardened mostly male variant of the larger street community has had repeated contact with police. Qualitative analysis reveals at least two major themes: (1) disrespect and disdain for residents and (2) low motivation for working with police. Street PAR methodology was also found to be instrumental in working with local residents and the Wilmington Police Department to improve conditions between residents and police.