Business Research Methods
Price: 975.00 INR
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ISBN:
9780198094739
Publication date:
29/12/2014
Paperback
852 pages
241.0x184.0mm
Price: 975.00 INR
We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.
ISBN:
9780198094739
Publication date:
29/12/2014
Paperback
852 pages
241.0x184.0mm
Business Research Methods is a comprehensive textbook designed to meet the requirements of post graduate management students. It explores the core concepts of research methods and its practice, especially in business management scenarios through numerous exhibits, solved exercises, and cases.
Suitable for: Business Research Methods is a comprehensive textbook designed to meet the requirements of post graduate management students.
Rights: World Rights
Description
Business Research Methods is a comprehensive textbook designed to meet the requirements of post graduate management students. It explores the core concepts of research methods and its practice, especially in business management scenarios through numerous exhibits, solved exercises, and cases. The book is divided into four parts. Part I, Conceptual Background of Research, provides a detailed theoretical and conceptual understanding of research, its types, usage, and specific roles of a researcher. Part II, Operationalization in Research and Instruments Designing, highlights the use of probability and distributions in different management situations, as also parametric and nonparametric tests. This section also discusses sampling and research design in detail. Part III, Univariate and Bivariate Techniques for Data Analysis, addresses tabulation, descriptive statistics, and bivariate regression model and explains the use of SPSS and Excel interpreting data for decision-making. Part IV, Multivariate Techniques for Data Analysis, discusses techniques such as discriminant analysis, factor analysis, cluster analysis, structural equation modeling, canonical correlation, and many more. This part concludes with a separate chapter on report writing and ethics in presentation. Written in a simple manner with inclusion of SPSS and Excel outputs and their inference, the book will be useful for students and young professionals.
Table of contents
PART I: CONCEPTUAL BACKGROUND OF RESEARCH
Chapter 1. Introduction to Research
Chapter 2. Types of Research
Chapter 3. Conceptualization of Variables and Measurements
PART II: OPERATIONALIZATION IN RESEARCH AND INSTRUMENTS DESIGNING
Chapter 4. Probability Distributions
Chapter 5. Statistical Inference: Tests of Hypotheses (Parametric and Nonparametric)
Chapter 6. Research Design
Chapter 7. Data Collection—Types, Sources, and Instruments
Chapter 8. Sampling and Its Application
PART III: UNIVARIATE AND BIVARIATE TECHNIQUES FOR DATA ANALYSIS
Chapter 9. Tabulation and Diagrammatic Representation
Chapter 10. Descriptive Statistics
Chapter 11. Bivariate Tools and Their Applications
PART IV: MULTIVARIATE TECHNIQUES FOR DATA ANALYSIS
Chapter 12. Multiple Regression Analysis
Chapter 13. Use of Qualitative Variables in Regression (Dummy Variables)
Chapter 14. Regression with Panel Data
Chapter 15. Discriminant Analysis
Chapter 16. Exploratory Factor Analysis
Chapter 17. Structural Equations Modelling
Chapter 18. Cluster Analysis
Chapter 19. Multivariate Analysis of Variance
Chapter 20. Canonical Correlation
Chapter 21. Multidimensional Scaling
Chapter 22. Conjoint Analysis
Chapter 23. Integration of Multivariate Techniques for Data Analysis
Chapter 24. Report Writing and Ethical Perspective in Research
Features
- Includes a chapter on integration of multivariate techniques for data analysis to explain the usage of different techniques, together and separately, in different business situations.
- Provides stepwise explanation of SPSS and Excel usage by organizations to stimulate students' understanding about the application of these software in real-life scenarios.
- Contains numerous solved and unsolved exercises and exhibits with business applications for better understanding.
- Includes multiple choice, concept review, and critical thinking questions along with project assignments to hone the managerial skills of the readers.
- Online Resources
- The following resources are available to support the faculty and students using the text:
- For Faculty
- Instructor's Manual
- PowerPoint Slides
- For Students
- Additional Excel and SPSS-based practice exercises
Description
Business Research Methods is a comprehensive textbook designed to meet the requirements of post graduate management students. It explores the core concepts of research methods and its practice, especially in business management scenarios through numerous exhibits, solved exercises, and cases. The book is divided into four parts. Part I, Conceptual Background of Research, provides a detailed theoretical and conceptual understanding of research, its types, usage, and specific roles of a researcher. Part II, Operationalization in Research and Instruments Designing, highlights the use of probability and distributions in different management situations, as also parametric and nonparametric tests. This section also discusses sampling and research design in detail. Part III, Univariate and Bivariate Techniques for Data Analysis, addresses tabulation, descriptive statistics, and bivariate regression model and explains the use of SPSS and Excel interpreting data for decision-making. Part IV, Multivariate Techniques for Data Analysis, discusses techniques such as discriminant analysis, factor analysis, cluster analysis, structural equation modeling, canonical correlation, and many more. This part concludes with a separate chapter on report writing and ethics in presentation. Written in a simple manner with inclusion of SPSS and Excel outputs and their inference, the book will be useful for students and young professionals.
Read MoreTable of contents
PART I: CONCEPTUAL BACKGROUND OF RESEARCH
Chapter 1. Introduction to Research
Chapter 2. Types of Research
Chapter 3. Conceptualization of Variables and Measurements
PART II: OPERATIONALIZATION IN RESEARCH AND INSTRUMENTS DESIGNING
Chapter 4. Probability Distributions
Chapter 5. Statistical Inference: Tests of Hypotheses (Parametric and Nonparametric)
Chapter 6. Research Design
Chapter 7. Data Collection—Types, Sources, and Instruments
Chapter 8. Sampling and Its Application
PART III: UNIVARIATE AND BIVARIATE TECHNIQUES FOR DATA ANALYSIS
Chapter 9. Tabulation and Diagrammatic Representation
Chapter 10. Descriptive Statistics
Chapter 11. Bivariate Tools and Their Applications
PART IV: MULTIVARIATE TECHNIQUES FOR DATA ANALYSIS
Chapter 12. Multiple Regression Analysis
Chapter 13. Use of Qualitative Variables in Regression (Dummy Variables)
Chapter 14. Regression with Panel Data
Chapter 15. Discriminant Analysis
Chapter 16. Exploratory Factor Analysis
Chapter 17. Structural Equations Modelling
Chapter 18. Cluster Analysis
Chapter 19. Multivariate Analysis of Variance
Chapter 20. Canonical Correlation
Chapter 21. Multidimensional Scaling
Chapter 22. Conjoint Analysis
Chapter 23. Integration of Multivariate Techniques for Data Analysis
Chapter 24. Report Writing and Ethical Perspective in Research
