In the context of 'ordinary' probation practice, quality is a contested concept, as well as an under-researched one. In this article we present the findings of a study which sought to capture, via interviews inspired by Appreciative Inquiry, the views of probation staff about the meaning(s) of 'quality' in probation practice. The interviews revealed a 'frontline' perspective on quality which has not previously been exposed or articulated as such. Drawing upon theoretical concepts developed by Bourdieu, it is argued that despite significant recent changes in the penal and probation fields in England & Wales, and some signs of adaptation in normative conceptions of probation work, there exists a culture or 'probation habitus' among frontline staff that is relatively cohesive and resilient.

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This article considers the application of Appreciative Inquiry (AI) as a research methodology in the field of probation research. Although AI has previously been used in prisons research it has not to date been applied to research on probation. In this article we describe why and how AI was applied in an exploratory study of 'quality' in probation practice. The article includes some reflections from us as researchers and from the participants in our study (staff in three English Probation Trusts). It is argued not only that AI served our project well (in terms of furnishing us with a wealth of relevant, good quality data) but also that our choice of methodology rendered visible aspects of contemporary probation culture which, we believe, would have remained hidden had we not chosen to explore quality through an 'appreciative' lens. It is further argued that in organizations experiencing challenging times, an appreciative stance has ethical as well as instrumental advantages. There are, thus, both instrumental and normative rationales for recommending AI as a suitable approach in probation research.

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Lately, social researchers have become increasingly interested and involved in comparative and cross-national research. In part this reflects a growing realisation that key social, economic and political processes are not merely 'domestic' but are common across countries and cultures. Although numerous good quality data sets now exist (e.g. the European Social Survey or International Social Survey Programme), in many instances researchers need to design their own bespoke comparative surveys. Such surveys require careful design if they are to produce meaningful data. Herein we introduce, outline and report on one technique which may usefully be employed in order to design better survey items for use in cross-national surveys.