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Full Description
This book has been designed to serve the postgraduate and undergraduate students. This book contains twenty-one chapters, divided into five parts. Part I deals with research methodology, and variables. Part II deals with research processes, which include research problem, research design, questionnaire design, and reliability and validity. Part III deals with sampling techniques, sample size, source of data collection, attitude measurement scales, etc. Part IV is data analysis techniques, which elaborately discuss various parametric and non-parametric tests with illustrations. The last part of the book covers computerized data analysis and report preparation. This book contains a comprehensive and authentic description of the course contents. The concepts are well explained with the help of key terms, processes, and illustrations. The techniques, key terms, caselets/case exercises, data analysis using Excel, and solved examples, will definitely help the students to have in-depth knowledge of the subject. This book explains how to design research questions, develop a survey questionnaire, and solve issues of sampling, data collection and data analysis. The text is well illustrated through tables and diagrams.
Salient Features:
Complete coverage of research methodology
Key terms, illustrations, and review questions
Flowcharts to present the process
Extensive coverage of parametric and non-parametric statistical data analysis using formulas
Exclusive chapter on data analysis using MS-Excel
Caselets/case exercises on critical issues of research methodology
Glossary to make familiar with all the terms of the subject.
Contents
1. Introduction to Research Methodology
2. Variables
3. Formulating Research Problem
4. Research Design and Methods
5. Experimental Research Design
6. Designing of Questionnaire
7. Reliability and Validity
8. Measurement and Scaling
9. Attitude Measurement Scale: Rating and Ranking
10. Sample and Sampling Design
11. Sample Size Determination
12. Primary Data
13. Secondary Data
14. Editing, Coding and Tabulation
15. Hypothesis Testing
16. Test: Means and Proportion
17. Univariate and Bivariate Analysis
18. Multivariate Analysis
19. Nonparametric Tests
20. Data Analysis Using Excel
21. Interpretation and Report Writing
Statistical Tables
Case Study
Glossary
References and Bibliography
Index
