Methodology Examples

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Principles of Methodology

This book provides a comprehensive, accessible guide to social science methodology. In so doing, it establishes methodology as distinct from both methods and philosophy. Most existing textbooks deal with methods, or sound ways of collecting and analysing data to generate findings. In contrast, this innovative book shows how an understanding of methodology allows us to design research so that findings can be used to answer interesting research questions and to build and test theories. Most important things in social research (e.g., beliefs, institutions, interests, practices and social classes) cannot be observed directly. This book explains how empirical research can nevertheless be designed to make sound inferences about their nature, effects and significance. The authors examine what counts as good description, explanation and interpretation, and how they can be achieved by striking intelligent trade-offs between competing design virtues. Coverage includes: * why methodology matters; * what philosophical arguments show us about inference; * competing virtues of good research design; * purposes of theory, models and frameworks; * forming researchable concepts and typologies; * explaining and interpreting: inferring causation, meaning and significance; and * combining explanation and interpretation. The book is essential reading for new researchers faced with the practical challenge of designing research. Extensive examples and exercises are provided, based on the authors' long experience of teaching methodology to multi-disciplinary groups. Perri 6 is Professor of Social Policy in the Graduate School in the College of Business, Law and Social Sciences at Nottingham Trent University. Chris Bellamy is Emeritus Professor of Public Administration in the Graduate School, Nottingham Trent University.
Artificial Intelligence: Methodology, Systems, and Applications

Author: Christoph Bussler
language: en
Publisher: Springer Science & Business Media
Release Date: 2004-08-23
This book constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2004, held in Varna, Bulgaria in September 2004. The 52 revised full papers presented were carefully reviewed and selected from 176 submissions. The papers are organized in topical sections on ontology engineering, semantic Web services, knowledge representation and processing, machine learning and data mining, natural language processing, soft computing, neural networks, e-learning systems, multiagent systems, pattern recognition, intelligent decision making, and information retrieval.
Research Methodology in Social Science

Author: Krishan Kumar Singh
language: en
Publisher: K.K. Publications
Release Date: 2022-01-15
Research Methodology in Social Science Research Methodology in Social Sciences is of great importance in disciplines and interested people on searching various knowledge or solution to a phenomenon. The main purpose of the book is to share scholarly knowledge about research and its complexity. This book can be used to train the basics and techniques involved on doing inquiries from different views. The experience shows that, no single cure for all diseases. So when comes to research, there is no single research methodology or technique which fits all circum-stances. Hence, the book tries to identify a family of approaches towards various research situations and distinguish their outcomes.