Covariate classification by post–stratification

The plug–in Anderson's covariate classification statistic is constructed on the basis of an initially unclassified training sample by means of posty–stratification. The asymptotic efficiency relative to the discriminant based on an initially classified training sample is evaluated for the case where a covariate is present. Effect of post–stratification is examined.     

Enriching Surveys with Supplementary Data and its Application to Studying Wage Regression

We consider the problem of supplementing survey data with additional information from a population. The framework we use is very general; examples are missing data problems, measurement error models and combining data from multiple surveys. We do not require the survey data to be a simple random sample of the population of interest. The key assumption we make is that there exists a set of common variables between the survey and the supplementary data. Thus, the supplementary data serve the dual role of providing adjustments to the survey data for model consistencies and also enriching the survey data for improved efficiency. We propose a semi‐parametric approach using empirical likelihood to combine data from the two sources. The method possesses favourable large and moderate sample properties. We use the method to investigate wage regression using data from the National Longitudinal Survey of Youth Study.     

Bias Reduction using Stochastic Approximation

The paper studies stochastic approximation as a technique for bias reduction. The proposed method does not require approximating the bias explicitly, nor does it rely on having independent identically distributed (i.i.d.) data. The method always removes the leading bias term, under very mild conditions, as long as auxiliary samples from distributions with given parameters are available. Expectation and variance of the bias-corrected estimate are given. Examples in sequential clinical trials (non-i.i.d. case), curved exponential models (i.i.d. case) and length-biased sampling (where the estimates are inconsistent) are used to illustrate the applications of the proposed method and its small sample properties.     

Effectiveness of the Coral Tree Family Service family inpatient unit: a longitudinal study exploring change in family functioning

Child mental health disorders represent a major burden to public health in Australia due to high prevalence rates, the widespread impact across domains, and the potential for difficulties to persist into adolescence and adulthood. Extensive evidence exists for the use of parent management training and cognitive behavioural therapy to treat difficulties experienced by children; however, a proportion of children do not benefit as expected from these treatments. The use of complementary therapeutic approaches and variations to the mode and intensity of existing intervention is warranted; family inpatient units represent a unique example of this. The aim of this study is to evaluate the effectiveness of a well-established Australian inpatient unit that admits the whole family, for children aged 12 years and younger referred with mental health, behavioural, or emotional difficulties. This study's longitudinal within-subject study design utilised routinely collected outcome data from the systemic clinical outcome and routine evaluation, 15 item (SCORE-15)—a valid and reliable measure of family functioning—from a sample of 980 participants attending the Family Residential Program. This study reported significant improvement in family functioning across all outcome variables between baseline and post-intervention, with no variables returning to pre-intervention levels at follow-up. Clinically significant changes in overall family functioning showed that 37% of participant scores moved from the clinical range at baseline to the nonclinical range post-intervention. This study represents the first empirical evaluation of the Family Residential Program, and the reported results provide compelling evidence for the program to effect improvement in family functioning for families with long-standing and severe difficulties. Poor rates of questionnaire completion following intervention frequent the literature base of family inpatient units, with low post-intervention (56%) and follow-up (12%) rates evident in this study. This study uniquely contributes to the growing evidence base of family inpatient units using rigorous evaluation methods.     

Depressive symptoms and help‐seeking behaviors among Korean Americans

Cheung M, Leung P, Cheung A. Depressive symptoms and help‐seeking behaviors among Korean Americans Int J Soc Welfare 2011: 20: 421–429 © 2010 The Author(s), International Journal of Social Welfare © 2010 Blackwell Publishing Ltd and the International Journal of Social Welfare. Korean Americans represent the fifth largest group of Asian Americans in the USA. This exploratory survey of 205 Korean Americans (92.2 percent foreign born) found that those with depressive symptoms tend to be younger, have lower incomes, and are more concerned about their basic needs, community/social needs, family relationship issues, and healthcare issues than those without depressive symptoms. Income, healthcare concerns, and anxiety were significant predictors of depression. The likelihood of having depressive symptoms among Korean Americans with anxiety was 240 times higher than among those without anxiety, but acculturation was not a significant contributing factor. Most respondents tended to seek advice about their mental health problems from physicians and non‐mental health professionals (friends and religious healers). Implications for social work education, research, practice, and policy are discussed in relation to the need to use evidence‐based practice data to plan culturally relevant services for ethnic minorities.     

Impact of Community on Personal Well-Being in Urban China

ABSTRACT

As the work-unit system fell after economic reform in China, neighborhoods replaced work units as the primary provider of vital social services for the urban population and became a new social space for enhancing the quality of people's well-being. This study examined the neighborhood characteristics that influenced personal well-being of residents. Drawn by multistage sampling and administered by face-to-face interviews, the survey included a sample of 976 participants from 31 neighborhoods in urban Shanghai. Results indicate that neighboring behaviors enhanced subjective well-being of the young and middle-aged residents but had no impact on older people. Sense of community, on the other hand, was found to contribute to well-being of all age groups and was particularly strong among older people in more deprived neighborhoods. Findings inform development of community practice strategies for vitalizing community efficacy and fostering individual well-being in urban China. Recommendations for future research are made using the results of this study.     

Understanding the cultural adaptation of foreign wives of South Korean men

‘International marriage’ has increased within rural areas in South Korea. As an increasing number of rural women move to urban areas, men are left facing the challenges of finding appropriate spouses. This issue stimulated support for ‘international marriages’ by the Korean government. A review was carried out of the literature of foreign wives' cultural adaptation in South Korea using the ecological systems. While foreign wives have escaped the hardships of lower economic status in their home country, they often face new challenges in South Korea. The article recommends that one-stop multicultural services are needed to address the cultural issues facing non-Korean women.     

Container Scheduling: Complexity and Algorithms

We consider the transport of containers through a fleet of ships. Each ship has a capacity constraint limiting the total number of containers it can carry and each ship visits a given set of ports following a predetermined route. Each container has a release date at its origination port, and a due date at its destination port. A container has a size 1 or size 2; size 1 represents a 1 TEU (20‐foot equivalent unit) and size 2 represents 2 TEUs. The delivery time of a container is defined as the time when the ship that carries the container arrives at its destination port. We consider the problem of minimizing the maximum tardiness over all containers. We consider three scenarios with regard to the routes of the ships, namely, the ships having (i) identical, (ii) nested, and (iii) arbitrary routes. For each scenario, we consider different settings for origination ports, release dates, sizes of containers, and number of ports; we determine the computational complexity of various cases. We also provide a simple heuristic for some cases, with its worst case analysis. Finally, we discuss the relationship of our problems with other scheduling problems that are known to be open.