ABSTRACT

Quantitative Methodologies using Multi-Methods is a multifaceted book written to help researchers. It is a user-friendly introduction to the popular methods of data mining and data analysis. The book avoids getting involved into details that are more suitable for more advanced users; it is written for readers who have, at most, a surface-level knowledge of the methods presented in the book. The book also serves as an introductory guide to the subject of complementarity of the tools and techniques of data analysis. It shows how methods could be used in synergy to offer insights into the issues that could not be dissected by any single method alone.

This text can also be used as a set of templates, where, given a set of research questions, the investigator could identify a set of methodological modules  for answering the research questions of interest. This is not entirely unlike the relationship between the analysis and design phases of the systems development life cycle—where the What of the analysis phase has to be translated into the How of the design phase. The book can guide the identification of modules (the How) that are suitable for answering research questions (the What). It can aid in transitioning a conceptual domain of the research questions into a scaffolding of data analytic and data mining methods.

The book is also a guide to exploring what data under investigation holds. For example, an investigator may use the methodological modules presented in this book to generate a set of preliminary questions which, after a careful consideration and a requisite culling, could be formulated into a set of questions consistent within a selected theory or a framework. Finally, the book can be used as a generator of new research questions. Applying every method in each of the book’s modules opens a new dimension ripe with follow-up questions such as, Why is this so? The answers to this question may provide new insight and lead to the development of a new theory.

part Section I|26 pages

Development of the Methodological Modules

chapter 1|7 pages

Pre-Requisite General Questions

chapter 2|12 pages

Components of Multi-Method Methodologies

chapter 3|6 pages

Framework for Methodological Modules

part Section II|60 pages

Description of the Methodological Modules

chapter 4|3 pages

A1: Homogeneous Sample – DEA and DTI

chapter 5|2 pages

A2: Homogeneous Sample – DEA and ARM

part Section III|186 pages

Methodological Modules – Examples of Their Application

chapter 19|16 pages

Determining Sources of Relative Inefficiency in Heterogeneous Samples

Methodology Using Cluster Analysis, DEA, and Neural Networks

part Section IV|10 pages

Appendix X

chapter X1|4 pages

Models of Economic Growth