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. Features • New topics: In Chapter 3, reliability analysis is discussed as an appendix. In Chapter 12, three new topics – post hoc comparisons in ANOVA, three-way ANOVA and multivariate analysis of variance (MANOVA) – have been included. As a routine feature of the book, use of SPSS for all these topics have also been discussed. • Restructuring Chapters of Multivariate Techniques: Chapter 17 is being restructured as ‘Discriminant Analysis and Logistic Analysis’ with the latter as a newly inserted topic. Chapter 18 is also being rearranged by including two important topics: Factor Analysis and Cluster Analysis. Chapter 19 is being redesigned by including Conjoint Analysis, Multidimensional Scaling and a new topic – Correspondence Analysis. • New Chapter: A new chapter covering Confirmatory Factor Analysis, Structural Equation Modelling and Path Analysis has been introduced as Chapter 20. • Additional Reading Material: This edition also gives readers access to Pearson’s online portal, MLSA, which is a widely popular repository for various additional reading and practice material. Table of Contents 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.
About the Author
Naval Bajpai is a faculty at the ABV-Indian Institute of InformationTechnology and Management, Gwalior. He has a multifarious background
in industrial, teaching and research fields spanning over two decades and is a life-time member of the Indian Society for Technical Education.
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