Business Research Methods is a comprehensive textbook designed to meet the requirements of post graduate management students. It explores the core concepts of research methods and its practice, especially in business management scenarios through numerous exhibits, solved exercises, and cases. The book is divided into four parts. Part I, Conceptual Background of Research, provides a detailed theoretical and conceptual understanding of research, its types, usage, and specific roles of a researcher. Part II, Operationalization in Research and Instruments Designing, highlights the use of probability and distributions in different management situations, as also parametric and nonparametric tests. This section also discusses sampling and research design in detail. Part III, Univariate and Bivariate Techniques for Data Analysis, addresses tabulation, descriptive statistics, and bivariate regression model and explains the use of SPSS and Excel interpreting data for decision-making. Part IV, Multivariate Techniques for Data Analysis, discusses techniques such as discriminant analysis, factor analysis, cluster analysis, structural equation modeling, canonical correlation, and many more. This part concludes with a separate chapter on report writing and ethics in presentation. Written in a simple manner with inclusion of SPSS and Excel outputs and their inference, the book will be useful for students and young professionals.

PART I: CONCEPTUAL BACKGROUND OF RESEARCH
Chapter 1. Introduction to Research
Chapter 2. Types of Research
Chapter 3. Conceptualization of Variables and Measurements
PART II: OPERATIONALIZATION IN RESEARCH AND INSTRUMENTS DESIGNING
Chapter 4. Probability Distributions
Chapter 5. Statistical Inference: Tests of Hypotheses (Parametric and Nonparametric)
Chapter 6. Research Design
Chapter 7. Data Collection—Types, Sources, and Instruments
Chapter 8. Sampling and Its Application
PART III: UNIVARIATE AND BIVARIATE TECHNIQUES FOR DATA ANALYSIS
Chapter 9. Tabulation and Diagrammatic Representation
Chapter 10. Descriptive Statistics
Chapter 11. Bivariate Tools and Their Applications
PART IV: MULTIVARIATE TECHNIQUES FOR DATA ANALYSIS
Chapter 12. Multiple Regression Analysis
Chapter 13. Use of Qualitative Variables in Regression (Dummy Variables)
Chapter 14. Regression with Panel Data
Chapter 15. Discriminant Analysis
Chapter 16. Exploratory Factor Analysis
Chapter 17. Structural Equations Modelling
Chapter 18. Cluster Analysis
Chapter 19. Multivariate Analysis of Variance
Chapter 20. Canonical Correlation
Chapter 21. Multidimensional Scaling
Chapter 22. Conjoint Analysis
Chapter 23. Integration of Multivariate Techniques for Data Analysis
Chapter 24. Report Writing and Ethical Perspective in Research