Business Research Methods, 2/e by Naval Bajpai

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.

About the Author
Contents
Features
Downloadable Resources

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.

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

• 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.

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