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.
Feature :
• 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.
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
About the Author
Naval Bajpai is a faculty at the ABV-Indian Institute of Information Technology 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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