Business Research Methods
Business Research Methods provides students with the knowledge, understanding and necessary skills to complete a 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 bring to life the realities of undertaking these researchs.
Emphasis on data analysis is the key strength of this book.
The book uses the latest software packages: MS Excel (2007), SPSS 17 and Minitab 15 to solve statistical data analysis. The complexity of multivariate analysis is also dealt with the help of these three softwares.
Table of Content
Part I Introduction to Business Research
- Business Research Methods: An Introduction
- Business Research Process Design
Part II Research Design Formulation
- Measurement and Scaling
- Questionnaire Design
- Sampling and Sampling Distributions
Part III Sources and Collection of Data
- Secondary Data Sources
- Data Collection: Survey and Observation
- Experimentation
- Fieldwork and Data Preparation
Part IV Data Analysis and Presentation
- Statistical Inference: Hypothesis Testing for Single Populations
- Statistical Inference: Hypothesis Testing for Two Populations
- Analysis of Variance and Experimental Designs
- Hypothesis Testing for Categorical Data (Chi-Square Test)
- Non-Parametric Statistics
- Correlation and Simple Linear Regression Analysis
- Multivariate Analysis—I: Multiple Regression Analysis
- Multivariate Analysis—II: Discriminant Analysis and Conjoint Analysis
- Multivariate Analysis—III: Factor Analysis, Cluster Analysis,
- Multidimensional Scaling, and Correspondence Analysis
Part V Result Presentation
Presentation of Result: Report Writing
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Salient Features
- A CD-ROM containing MS Excel and Minitab data file for all the problems presented in the book.
- Research in Action confers the readers with the ability to link concepts in the chapter with the real time practices of the industry.
- The inclusion of Indian case studies provides a relatable and comprehendible platform for the students to apply in actual industrial situations.
- Multivariate analysis computation difficulties are minimized by implementing solutions through software’s.
- Extensive use of explanatory dialog boxes reinforces critical concepts providing simple descriptions for complex theories.
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