A Simple Introduction To Data And Activity Analysis

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A Simple Introduction to Data and Activity Analysis

A Simple Introduction to Data and Activity Analysis provides an introduction to the main concepts embodied in the analysis techniques. This book provides a more balanced picture of the methods of the analysis by showing what deliverables are collected as well as how to obtain them. Organized into eight chapters, this book begins with an overview of some of the activities that need to be done to analyze the business and some of the end and intermediate deliverables produced by these activities. This text then explains how to get the activity analysis deliverables. Other chapters consider the causes and effects of problems in business. This book discusses as well how activities can be decomposed or broken down into more and more detailed activities, using the techniques of activity decomposition and data flow diagramming. The final chapter deals with the methods of analysis that show how different types of input could be converted into the data and activity models. This book is a valuable resource for computer programmers.
Considering Computer Contracting?

Considering Computer Contracting?: The Computer Weekly Guide to Becoming a Freelance Computer Professional explores many aspects of the contracting world and attempts to give advice to both the newcomer and the experienced contractors in possible progressions in contracting. The book discusses the reasons why companies take on contract staff and what specific skills and skill levels do they require. The text covers aspects of contracting, from setting up through preparing presentation materials, interviewing, and gaining the first contract to management as a contractor. Some details of opportunities available and the expected rates are also considered. The book describes the relationship of a contractor with agencies and with clients, and the actual mechanism for working as a contractor. The text concludes by providing after-contracting opportunities. People contemplating on becoming a computer contractor and practicing computer contractors will find this book useful.
Handbook of Data Analysis

′This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond′ - Environment and Planning ′The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher′ - Clive Seale, Brunel University ′With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ′ - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa ′This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments′ - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.