Systematic Review of Motives for Episodic Volunteering

Although episodic volunteers are a critical resource for many organisations, their motives for volunteering are poorly understood. A systematic review was conducted to describe empirical evidence about motives for episodic volunteering (EV) across sectors (sport, tourism, events, health and social welfare). Identified EV motives were then categorised using core functions from the Volunteer Functions Inventory (VFI) for comparison across studies. Twelve databases (1990–December 2014) were searched. Thirty-three English language studies included results describing EV motives. Studies were predominantly cross-sectional, quantitative, event-based and originating in North America. Measurement of motives was also inconsistent. Common motives were helping others and socialising. Physical challenge and healing motives were specific to sport-based events and charity sport events, respectively. Over 80 % of motives were classified using VFI functions, particularly enhancement, values and social functions. The VFI supplemented by qualitative work may be efficacious to further identify EV motives and retention strategies.     

Parent and Child Therapy: An Attachment‐Based Intervention for Children With Challenging Problems

Parent and Child Therapy (PACT) is an attachment‐based intervention for children aged between 4 and 12 years old experiencing emotional and behavioural problems. It is appropriate for distressed parent—child relationships which have not responded to systemic family therapy. PACT seeks to reframe parent—child relationship distress using narrative techniques and experiential tasks based on the concept of supported looking. Therapy occurs in parallel for parent and child using a one‐way screen. PACT improves parents' reflective capacity and sensitivity, and for the child's sense of security in her primary attachment relationship. An outline of the four stages of PACT is presented along with a case study to illustrate the course of PACT. Finally, we discuss the dissemination of PACT within a busy child and adolescent mental health service and outline our plans for future outcome evaluation.     

Assessing the effectiveness of strategic planning

This paper describes a method for assessing the effectiveness of strategic planning systems in terms of the results actually observed subsequent to planning activity. The paper explains in particular how, in making the assessment, one might cope with the fact of environmental change subsequent to the setting of planned goals. This ends oriented approach to measuring effectiveness is shown to be complementary to process oriented approaches and is illustrated by an example from the coal industry.     

FOOD SCARES IN AN UNCERTAIN WORLD

We develop a model that explains the stylized facts of food scares: an immediate and sharp decline in consumption of the product followed by a slow and frequently partial recovery of demand after the scare passes. The model is used in conjunction with the natural experiment afforded by the ‘mad‐cow’ crisis to elicit empirical information on decision makers' perception of uncertainty. Our theoretical and quantitative results suggest that observed behavior is consistent with sharp changes in beliefs and the presence of Knightian uncertainty, as measured by the degree of imprecision in our model.     

Improving homeless persons' utilisation of primary care: lessons to be learned from an outreach programme in The Netherlands

Elissen AMJ, Van Raak AJA, Derckx EWCC, Vrijhoef HJM. Improving homeless persons' utilisation of primary care: lessons to be learned from an outreach programme in The Netherlands Faced with rising homelessness, countries around the world are in need of innovative approaches to caring for those without shelter, who, more often than not, suffer from severe health problems. We conducted a case study of an innovative Dutch Primary Care for the Homeless (PCH) programme to gain insight into clients' demographic characteristics, health problems and service use, and to develop an explanation for its success in increasing the latter. Our analyses are based on a combination of quantitative and qualitative data. The results of the study suggest that the success of the PCH programme can be explained by the providers' pragmatism and will to adapt their mode of care provision to the behavioural patterns and needs of their homeless clients.     

Outlier Robust Small‐Area Estimation Under Spatial Correlation

Modern systems of official statistics require the estimation and publication of business statistics for disaggregated domains, for example, industry domains and geographical regions. Outlier robust methods have proven to be useful for small‐area estimation. Recently proposed outlier robust model‐based small‐area methods assume, however, uncorrelated random effects. Spatial dependencies, resulting from similar industry domains or geographic regions, often occur. In this paper, we propose an outlier robust small‐area methodology that allows for the presence of spatial correlation in the data. In particular, we present a robust predictive methodology that incorporates the potential spatial impact from other areas (domains) on the small area (domain) of interest. We further propose two parametric bootstrap methods for estimating the mean‐squared error. Simulations indicate that the proposed methodology may lead to efficiency gains. The paper concludes with an illustrative application by using business data for estimating average labour costs in Italian provinces.     

Small area estimates for cross-classifications

Summary.  We develop a class of log-linear structural models that is suited to estimation of small area cross-classified counts based on survey data. This allows us to account for various associ- ation structures within the data and includes as a special case the restricted log-linear model underlying structure preserving estimation. The effect of survey design can be incorporated into estimation through the specification of an unbiased direct estimator and its associated covariance structure. We illustrate our approach by applying it to estimation of small area labour force characteristics in Norway.     

A controlled donor imputation system for a one-number census

Summary. The 2001 UK census was a one-number census. An integral part of such a process has been the creation of a transparent census database that has been adjusted for the underenumeration in the 2001 census. The methodology for creating this database is based on a controlled donor imputation system that imputes individuals and households estimated to have been missed in the census. This paper describes this methodology and provides results from a statistical assessment of its performance using data that realistically simulate the census process.