Malcolm Williams

This accessible, well-judged text provides students with a matchless introduction to generic research skills.

Making Sense of Social Research

Realism and Complexity in Social Science is an argument for a new approach to investigating the social world, that of complex realism. Complex realism brings together a number of strands of thought, in scientific realism, complexity science, probability theory and social research methodology. It proposes that the reality of the social world is that it is probabilistic, yet there exists enough invariance to make the discovery and explanation of social objects and causal mechanisms possible. This forms the basis for the development of a complex realist foundation for social research, that utilises a number of new and novel approaches to investigation, alongside the more traditional corpus of quantitative and qualitative methods. Research examples are drawn from research in sociology, epidemiology, criminology, social policy and human geography. The book assumes no prior knowledge of realism, probability or complexity and in the early chapters, the reader is introduced to these concepts and the arguments against them. Although the book is grounded in philosophical reasoning, this is in a direct and accessible style that will appeal both to social researchers with a methodological interest and philosophers with an interest in social investigation.

Realism and Complexity in Social Science

Tim May

Visiting Fellow in Department of Sociology and Social Policy at University of Durham Lecturer in Sociology and Social Policy Tim May

This ground-breaking and multi-disciplinary volume brings together a distinguished team of leading thinkers, to discuss issues surrounding and informing social science.

Knowing the Social World

Outlining an original, discourse-based model for translation quality assessment that goes beyond conventional microtextual error analysis, this ground-breaking new work by Malcolm Williams explores the potential of transferring reasoning and argument as the prime criterion of translation quality. Assessment through error analysis is inevitably based on an error count – an unsatisfactory means of establishing, and justifying, differences in quality that forces the evaluator to focus on subsentence elements rather than on the translator's success in conveying the key messages of the source text. Williams counters that a judgement of translation quality should be based primarily on the degree to which the translator has adequately rendered the reasoning, or argument structure. An assessment of six aspects of argument structure is proposed: argument macrostructure, propositional functions, conjunctives, types of arguments, figures of speech, and narrative strategy. Williams illustrates the approach using three different types of instrumental text: letters, statistical reports, and argumentative articles for publication. He goes on to propose a new set of standards, flexible and modular, that will help a translation meet the minimum professional standard.

Malcolm Williams

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