Dealing with Resistance: Working with Involuntary Clients in Community-Based Drug Treatment Programs in China

ABSTRACT

This study explores strategies for dealing with client resistance that are commonly used by a group of selected counsellors who work closely with illicit drug users in the community-based compulsory treatment programs in China. Through semistructured in-depth interviews with 16 counsellors, this study finds that different forms of client resistance were experienced in their day-to-day practice, encompassing passive and active behaviours. Five typical strategies are used by Chinese counsellors in this study to deal with client resistance: showing respect and caring and expressing empathy; attending to the needs of the clients; making effective use of peer influence; altering clients’ unwillingness to change; and strategically enhancing clients’ self-determination. Considering these strategies can also be seen as general principles for dealing with involuntary clients in other fields of social work services, the findings of this study may have broader impact.

IMPLICATIONS

• Effective ways that can be used by counsellors for reducing illicit drug users’ resistance during treatment include: showing respect and caring, and expressing empathy; attending to the needs of the clients; making effective use of peer influence; altering clients’ unwillingness to change; and strategically enhancing clients’ self-determination.

• Professional social work training is urgently needed among community-based drug treatment social work practitioners in China, to achieve efficient practices and better outcomes.

     

Determinants of the Safety Performance of Private Multi-storey Residential Buildings in Hong Kong

Given the high population and development density in Hong Kong, building failures can result in catastrophic consequences. It is thus worthwhile identifying those dilapidated buildings, and this explains why the Hong Kong government has considered launching a mandatory building inspection scheme in the city. Apart from the measurement of building safeness, however, it is equally important to explore the major determinants of the safety performance of buildings. Such information can help the government and other related organizations to rationalize their subsidies offered for building improvement and to make more informed strategies of urban regeneration in Hong Kong. To this end, the safety performance of 429 private multi-storey residential buildings was measured in this study using the Building Safety and Conditions Index developed by The University of Hong Kong. It was then followed by an explanatory analysis which found that older buildings were less safe than large, modern buildings. More importantly, the co-existence of a property management agent and a statutory owners’ association delivered the best building safety performance, and in this respect was the optimum building management regime for private multi-storey buildings in Hong Kong. These findings pose significant policy implications for building safety and urban regeneration in Hong Kong.     

From passive assistance to capacity building: assessing the Child Development Fund in Hong Kong

Poverty was not a major issue in Hong Kong before the 1990s. After the Asian financial crisis, the government admitted that poverty was growing and demanded attention. While passive assistance was maintained, increasing emphasis was placed on capacity building to promote self-reliance. The Child Development Fund was introduced to combat intergenerational poverty by developing children's capacity and assets, especially through mentorship. On the basis of published data and interviews with social workers, the project should be considered a success, but it was not without problems. The contribution of social workers to the project was significant but received little government recognition.     

Effective Responses to Offenders with Intellectual Disabilities: Generalist and Specialist Services Working Together

Abstract

Despite policies of deinstitutionalisation, many people with intellectual disabilities in developed western countries continue to live in mainstream institutional settings, such as correctional facilities, rather than in the community with support from disability services. This paper reports on the life stories of 10 people with intellectual disabilities, who had been imprisoned in adult correctional facilities in Queensland. The pathways taken by these 10 people into and out of prison are marked by significant abuse, neglect, and poverty. Significant disparity and disconnection is also displayed between the policies and service approaches, particularly between the disability, mental health, and correctional systems in Queensland. Based on these findings, a framework for practice, which spans both generic and specialist services, is suggested.     

CASE-DELETION DIAGNOSTICS FOR TEST STATISTICS IN MULTIVARIATE REGRESSION

Influence measures in multivariate regression analysis have been widely developed, especially through use of the case-deletion approach. However, there seem to be few accounts of the influence of observations on test statistics in hypothesis testing. This paper examines four common multivariate tests, namely the Wilks' ratio, Lawley-Hotelling trace, Pillai's trace and Roy's greatest root for testing a general linear hypothesis of the regression coefficients in multivariate regression. The influence of observations is measured using the case-deletion approach. The proposed diagnostic measures, except that of Roy's greatest root, can be expressed in terms of statistics without involving the actual deletion of observations. An illustrative example is given with satisfactory results.     

A method of choosing multiway partitions for classification and decision trees

A method is given of choosing k-way partitions (where 2 ≤ k ≤ (number of categories of predictor variable)) in classification or decision tree analyses. The method, like that proposed by Kass, chooses the best partition on the basis of statistical significanceand uses the Bonferroni inequality to calculate the significance. Unlike Kass's algorithm, the algorithm does not favour simple partitions (low values of k) nor does it discriminate against free-type (no restriction on order of values) predictor variables with many categories. A method of adjusting the significance for the number of predictor variables and of using multiple comparisons to put an upper bound on the significance is given. Monte Carlo tests show that the algorithm gives slightly conservative tests of significance for both small and large samples and does not favour one type of predictor variable over another. The algorithm is incoroporated in a PC software program, Knowledgeseeker,which is briefly described.     

Social mobility and the well‐being of individuals

Several papers published in recent years have revived interest in Sorokin's dissociative thesis: the view that intergenerational social mobility has detrimental effects on the social relationships and wellbeing of individuals. In this paper, I test the dissociative thesis using data from the British Household Panel Survey and Understanding Society. On a wide range of indicators that measure participation in civic associations, contact with parents, close personal relationships, social support, subjective wellbeing, etc. individuals who have achieved long‐range upward mobility (i.e. those who move from working class origin to salariat destination) tend to fare better than those who are immobile in the working class. Those who have experienced long‐range downward mobility (moving from salariat origin to working class destination) do about as well as second‐generation members of the working class. Overall, there is no support for Sorokin's thesis.     

The influence of observations on misclassification probability in multiple discriminant analysis

The influence of observations in estimating the misclassification probability in multiple discriminant analysis is studied using the common omission approach. An empirical influence function for the misclassification probability is also derived, It can give a very good approximation to the omission approach, but the computational load is much reduced, Various extensions of the measures are suggested. The proposed measures are applied to the famous Iris data set. The same three observations are identified as having the most influence under different measures.     

Time series models with asymmetric innovations

We consider AR(q) models in time series with asymmetric innovations represented by two families ofdistributions: (i) gamma with support IR : (0, ∞), and (ii) generalized logistic with support IR:(-∞,∞). Since the ML (maximum likelihood) estimators are intractable, we derive the MML (modified maximum likelihood) estimators of the parameters and show that they are remarkably efficient besides being easy to compute. We investigate the efficiency properties of the classical LS (least squares) estimators. Their efficiencies relative to the proposed MML estimators are very low.     

Why ‘Reunion in Democracy’ fails? – the past and the future of a colonial city

ABSTRACT

This paper addresses the current political predicament in Hong Kong. However, rather than offering a casual political commentary on the current state of identity politics of Hong Kong, it offers a critical and historical evaluation of the ideas and practices of ‘Reunion in Democracy’ in the past decades.