The Research Methodology and Design II course is divided in two parts, which will provide doctoral candidates with a solid foundation and valid framework to accomplish their research goals.
The first part of the course examines qualitative research and behavioral research. Topics covered include: criteria for valid and reliable research; advantages and disadvantages of different research strategies; electronic and paper tools for searching literature; research methods – observational, survey and experimental; general writing techniques and writing style; data analysis; and data presentation.
The second part of the course examines the fields of quantitative and econometric research. Topics covered include: scientific methods, cognitive guidelines, quantification and standardization in survey research and reconciling practical and scientific requirements for creating valid and unbiased surveys. It also examines research tools and applied econometrics. Topics include: regression analysis, estimation procedures, hypothesis testing, time series modeling, and forecasting.
The course permits learners to distinguish between the different methods of collecting data, analyzing data and the research techniques to be used for optimum results. A wide range of concepts and methods for observing, interviewing, recording and analyzing field data is covered, exposing the learner to quantitative and qualitative methods, and the ethical considerations in qualitative research practice. Furthermore the course provides a solid understanding of statistical tools used in empirical analysis enabling participants to develop solid analytical skills. Additional emphasis is placed on the process of rigorous formulation of research questions and design.