The purpose of Research At Grass Roots is to accompany the novice researcher, in both the social sciences and human service professions, step by step through the research process. The description of the research process is probably unique in that this view has been developed over at least two decades through work with postgraduate students. The section for experienced researchers is less structured and discusses current topics of interest such as evaluation research, intervention research, participatory action research, and analysis of concepts such as evidence-based practice.

The interplay between scientific theory and research, and between research and professional practice, has once again been highlighted. This encompasses important debates for experienced researchers and practitioners, including crucial concepts for novice researchers to master as early as possible in their academic careers.

The section dealing with different models for combining quantitative and qualitative styles of research has been updated to include recent debates and developments in the field of mixed methods designs. Both sections dealing with qualitative and quantitative designs and analysis have been substantially revised and updated. We have included contributions from experienced researchers such as Prof. Willem Schurink, a qualitative researcher and doctoral supervisor, Prof. Wim Roestenburg, a senior academic and researcher, and Dr Allen Bartley, an international contributor and expert in statistical analysis. Prof. Minrie Greeff has again provided insight from her vast experience of research interviewing. Salient features of the previous three editions have been retained in order to ensure that we continue to meet the needs of current users of this very successful book.

Written by one of the few top internationally recognized experts in the field, this book concentrates on those topics that will remain fundamental, such as low power computing, reversible programming languages, and applications in thermodynamics. It describes reversible computing from various points of view: Boolean algebra, group theory, logic circuits, low-power electronics, communication, software, quantum computing. It is this multidisciplinary approach that makes it unique.
Backed by numerous examples, this is useful for all levels of the scientific and academic community, from undergraduates to established academics.