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Traditionally evaluators of offending behaviour programmes have examined group-level mean change in treatment targets without acknowledging the potential variability of change at an individual level. Clinically significant change, although used widely in the therapy literature generally, has only recently been examined within forensic therapeutic contexts. This chapter provides an overview of key concepts, and the published literature in which clinically significant change has been examined within forensic samples is reviewed. It is concluded that although this technique has the potential to validate programme theory, it is yet to be used to its full potential within a forensic context.

Climate change data and predictions for the Himalayas are very sparse and uncertain, characterized by a “Himalayan data gap” and difficulties in predicting changes due to topographic complexity. A few reliable studies and climate change models for Nepal predict considerable changes: shorter monsoon seasons, more intensive rainfall patterns, higher temperatures, and drought. These predictions are confirmed by farmers who claim that temperatures have been increasing for the past decade and wonder why the rains have “gone mad.” The number of hazard events, notably droughts, floods, and landslides are increasing and now account for approximately 100 deaths in Nepal annually. Other effects are drinking water shortages and shifting agricultural patterns, with many communities struggling to meet basic food security before climatic conditions started changing.

The aim of this paper is to examine existing gaps between current climate models and the realities of local development planning through a case study on flood risk and drinking water management for the Municipality of Dharan in Eastern Nepal. This example highlights current challenges facing local-level governments, namely, flood and landslide mitigation, providing basic amenities – especially an urgent lack of drinking water during the dry season – poor local planning capacities, and limited resources. In this context, the challenge for Nepal will be to simultaneously address increasing risks caused by hazard events alongside the omnipresent food security and drinking water issues in both urban and rural areas. Local planning is needed that integrates rural development and disaster risk reduction (DRR) with knowledge about climate change considerations. The paper concludes with a critical analysis of climate change modeling and the gap between scientific data and low-tech and low capacities of local planners to access or implement adequate adaptation measures. Recommendations include the need to bridge gaps between scientific models, the local political reality and local information needs.

Ladakh is an isolated arid environment in the Western Himalayas whose population relies mainly on glacial melt water. If the predicted adverse impacts of climate change occur, rising temperatures would accelerate the retreat of glaciers and place immense stress on the traditional Ladakhi agriculture and way of life. Very few studies in hydrology and glaciology currently document physical processes happening in Ladakh and only one project has combined climate data based upon measurements of temperature and precipitation, collected by the Indian Air Force in Leh town, and perceptions of local communities in order to explore the potential impacts of climate change in the area. This information constitutes the basis for climate change-related interventions of nongovernmental organizations (NGOs), both local and international, and could help inform any future climate modeling. However, the quality of this data can be questioned on several points, it terms of accuracy, availability and, most importantly, usefulness. Moreover, this chapter discusses the relevance of this kind of data when the focus is placed upon the adaptation of local communities to global environmental changes where climate change may not be the primary cause. For instance, the region is also currently undergoing a rapid transition from subsistence farming to a market-based economy due to the integration of Ladakh into India and the growing influx of tourism. When addressing the broader context of environmental change, reliable, accurate, and available climate data and models could be useful only if used as part of a holistic approach. This approach requires research and interventions to combine scientific information with local knowledge and perceptions about the impacts of climate change to root the physical data in a “real world” context. It must also acknowledge other drivers of environmental changes such as unsustainable development.

This chapter traces the author's journey of change research from positivism to pragmatism and how different types of “engaged scholarship” shape how we know and do change. It takes readers through the ontology, epistemology, and methodology of different types of research and how these were expressed in studies of planned change interventions, mergers and acquisitions (M&A), cynicism and its consequences, “soul work” and community building in business, organizational transformation, and the development of more socially and environmentally conscious people, purposes, and practices. The paper reflects on the author's research as it relates to regulatory versus radical change and whose interests are and might be served by change research.

Understanding how health status and physiological factors affect performance is a daunting task. This chapter will discuss physiological, behavioral, and psychological factors that influence or determine the capacity to fight, and will consider metrics that can be used to measure their status. The premise of this discussion is that there is a set of physiological and psychological factors that intimately affect performance and that the relative contribution of these variables is individually unique. These factors can be identified and assessed, and are amenable to modification. A fuller understanding of these variables can lead the effort to maintain and improve performance in the adverse and challenging environments of military operations.

The increasing prominence of environmental sustainability as an objective of transport policy, and in people's thinking about their travel-related decisions, brings new challenges for data collection because, uniquely in the transport sector, it brings three issues to the fore: firstly, the difficulties associated with gathering data and opinions on a topic which is socially and morally charged; secondly, the fact that the resulting adjustments to behaviour may be in dimensions (such as choice of vehicle characteristics and mode choice for infrequent trips) which are not traditionally covered very fully in travel surveys; and thirdly, the likelihood that any change in behaviour may emerge only slowly over an extended period of time (as and when the opportunity arises for the individuals' behaviour to be adjusted to fit their aspirations).

It is argued that, because the topic is socially charged, data on sustainable travel behaviour is particularly prone to social desirability bias and other related biases. The nature and implications of these biases are addressed and it is concluded that individuals will tend to exaggerate the likelihood of behavioural change in response to sustainability concerns and policy initiatives. Methods, which might be used to study the emergence of sustainable patterns of behaviour in general, and responses to sustainability orientated policy initiatives in particular, are discussed and attention is given to ways of minimising bias in the data.

This paper uses data from the 1979 and 1997 National Longitudinal Surveys of Youth to estimate the changing returns to cognitive and non-cognitive skills with respect to college completion, and quantifies the extent to which gender differences in these skills are driving the college gender gap. The use of two distinct college graduation cohorts allows a dynamic analysis of the widening female advantage in college graduation. I decompose the increase in the college gender gap into three pertinent categories of measurable attributes: family background, cognitive skills, and non-cognitive skills (captured by school suspensions, behavioral problems, and legal infractions). A second decomposition is applied to the change in the gap between the two periods. The results show that roughly half of the observed college graduation gender gap in the NLSY97 is due to female advantages in observable characteristics, and roughly half is “unexplained”: due to gender differences in the coefficients. With respect to the change in the gap, approximately 29% of the difference in differences is the “explained” component, attributed to changes in the relative characteristics of men and women. In particular, declining non-cognitive skills in men are associated with about 14% of the increase in the gender gap.