Research methodology and data analysis are essential components of undergraduate education in management, economics, commerce, and the social sciences. However, students often perceive these subjects as difficult because they involve unfamiliar terminology, statistical concepts, mathematical expressions, and computer-based analysis. This book has been written to make these areas accessible, practical, and engaging for undergraduate students.
The book introduces the research process in a systematic and student-friendly manner. It begins with the foundations of research and gradually progresses to research design, data collection, sampling, hypothesis testing, statistical analysis, interpretation, and report writing. Concepts are explained in simple language, supported by examples drawn from business, economics, management, and everyday situations.
A distinctive feature of the book is its emphasis on the practical application of research methods. Students are guided through the complete research journey—from identifying a research problem and formulating objectives to selecting appropriate analytical techniques and drawing meaningful conclusions. Case-based questions, illustrations, and exercises have been included to help students connect theoretical concepts with real research situations.
The book also introduces the use of R for statistical analysis. No previous knowledge of R or computer programming is required. The R commands are presented in a step-by-step manner, accompanied by explanations of the resulting output. The objective is not to turn students into programmers but to help them use statistical software confidently and interpret results correctly. Teachers may also use alternative software while following the conceptual and analytical framework presented in the book.
This book is primarily intended for undergraduate students pursuing programmes such as BBA, B.Com., BA Economics, and other courses in management and the social sciences. It may also serve as an introductory resource for postgraduate students, research scholars, and beginners interested in understanding research methodology and applied data analysis.