Business research methods
- 2nd
- New Delhi Pearson India Education Services Pvt. Ltd. 2019
- xxiv, 851 p.
Table of Content Part I Introduction to Business Research 1 Business Research Methods: An Introduction 2 Business Research Process Design Part II Research Design Formulation 3 Measurement and Scaling 4 Questionnaire Design 5 Sampling and Sampling Distributions Part III Sources and Collection of Data 6 Secondary Data Sources 7 Data Collection: Survey and Observation 8 Experimentation 9 Fieldwork and Data Preparation Part IV Data Analysis and Presentation 10 Statistical Inference: Hypothesis Testing for Single Populations 11 Statistical Inference: Hypothesis Testing for Two Populations 12 Analysis of Variance and Experimental Designs 13 Hypothesis Testing for Categorical Data (Chi-Square Test) 14 Non-Parametric Statistics 15 Correlation and Simple Linear Regression Analysis 16 Multiple Regression Analysis 17 Discriminant Analysis and Logistic Regression Analysis 18 Factor Analysis and Cluster Analysis 19 Conjoint Analysis, Multidimensional Scaling and Correspondence Analysis 20 Confirmatory Factor Analysis, Structural Equation Modeling and Path Analysis Part V Result Presentation 21 Presentation of Result: Report Writing
Business Research Methods, 2e, provides students with the knowledge, understanding and necessary skills to conduct business research. The reader is taken step-by-step through a range of contemporary research methods, while numerous worked examples and real-life case studies enable students to relate with the context and thus grasp concepts effectively.
Keeping in mind the developments in the subject area and necessary feedback from the users of this book, the latest edition has been extensively revised to include the necessary updates. The revision has been carried out in three ways: (i) by adding a few topics in existing chapters, (ii) by restructuring chapters pertaining to multivariate techniques, and (iii) by including a new chapter - Chapter 20: Confirmatory Factor Analysis, Structural Equation Modelling and Path Analysis.