This book offers a comprehensive and rounded view of research as a tool for logical problem-solving. It is built on the philosophical-pragmatic foundation that the value of knowledge and research methodologies lies in their usefulness in engaging with the real world.
Basic Research Methods: An Entry to Social Science Research synthesizes both positivist and non-positivist methodologies. It is for students who are undertaking their first social science research course or their first research project. The techniques are basic ones, but many masters and doctoral research studies use them. From an experiential base, students would be able to build a more advanced conceptual and theoretical understanding of research through further reading and practice.
The book covers both quantitative and qualitative methods. It discusses policy-applied-pure-action model of research, treatment of participatory research as an ethical rather than a methodological issue, inclusion of project evaluation as a type of case study, addition of binary measurement to the standard classification, practical use of Microsoft Excel for analysis of both words and numbers, a building block approach to writing, and the author's own thoughts on application of research.
Real-life examples from different subject areas in Asia are used in this concise textbook, which has been written in an engaging language, adopting the inductive approach.
Chapter 14: Measurement Principles
Here is a proposition: everything can be measured.
When I was young, many did not like that idea because we thought it dehumanised us and that some things about people could not be measured anyway.
So, here is a paradox that seems quite illogical: everything can be measured, including those things that cannot.
There is a trick of course, and that trick is the use of the word ‘measure'. In research, measure has a particular meaning derived from measurement scales, which are technically defined methods for classifying or categorising. All information is data (whether represented by words or numbers) that can be categorised as qualities and, therefore, measured as quantities.
We can conceptualise and, therefore, classify things that do not exist because ‘things that do not ...