Answer: A research design serves as the overall plan or blueprint for conducting a research study, guiding the researcher from the initial conceptualisation to the final data analysis and interpretation. It is a structured framework that dictates the methods and procedures for collecting, measuring, and analysing data. As highlighted in MDV-106, a robust research design ensures that the study addresses the research question effectively and yields credible and valid findings. This design outlines the t...

Answer: Development research is a specialized field of inquiry focused on understanding and addressing complex development challenges in various socio-economic and political contexts. Unlike purely academic research, it is inherently action-oriented and policy-relevant, aiming to generate knowledge that can directly inform interventions, policies, and programmes designed to improve human well-being and foster sustainable development. It is often interdisciplinary, drawing on insights from economics, soc...

Answer: In development studies research, data collection is fundamental, and researchers frequently distinguish between primary and secondary data sources. Understanding these differences is crucial for methodological rigor and selecting appropriate data collection techniques, such as the interview schedule. Primary data refers to original, first-hand information collected directly by the researcher for the specific purpose of the current study. This data is raw, unanalyzed, and tailored precisely to t...

Answer: In research methodology, particularly in development studies, the quality of data collection instruments is paramount. Reliability is a fundamental aspect of this quality, referring to the consistency and stability of a measurement instrument. Reliability essentially measures the extent to which a research instrument, when applied repeatedly to the same subjects under the same conditions, yields consistent or similar results. It addresses the question: 'If we measure something again, will we ge...

Answer: Measures of central tendency are statistical tools used in descriptive statistics to identify a single value that accurately describes the center or typical value of a distribution. In development studies, these measures are crucial for summarizing large datasets, such as income levels, literacy rates, or access to resources, allowing researchers to understand the general characteristics of a population or sample. These measures provide a concise summary of the data, making it easier to interp...