Research Methodology

Paper Code: 
ATG/FSG/MMG/HRG/GMG 141
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

Objectives: The course is aimed at enabling the student to understand: • Research methodology • Statistical data analysis methods • Determination of errors in observations and calculations • Format for writing research report.

 

12.00
Unit I: 
Introduction to Research Methodology

Introduction to Research Methodology: i. Meaning and definition of research, process of research, types of research (Basic and Applied), Research approaches. ii. Research Design: Purpose of research and time dimensions based research design: Explorative, Descriptive and Explanatory, Cross-sectional and Longitudinal research studies

 

12.00
Unit II: 
Planning of Research

Planning of Research: i. Sampling Techniques: Census and Sampling methods, Probability and Non-Probability sampling procedures, Sample size determination ii. Variables: Meaning, Types of Variables. iii. Hypothesis: Meaning, Types and criteria of construction of hypothesis. iv. Distribution pattern: Normal distribution, Binomial distribution, Poisson’s distribution

 

12.00
Unit III: 
Data Collection Techniques

Data Collection Techniques: Primary and Secondary data collection techniques Statistics: Meaning, Importance, Limitations, Classifications and Tabulation of data, discrete and continuous variables. Frequency Distributions and Cumulative frequency distribution, Diagrammatic and Graphical presentation of data Measure of Central Tendency: Mean, Median and Mode Measure of Dispersion Range, Quartile Deviation, Mean Deviation and standard deviation, coefficient of variation. Correlation and Regression analysis

 

12.00
Unit IV: 
Measurement and Scaling Techniques

Measurement and Scaling Techniques: Scaling Techniques: Purpose of Scaling Techniques, Types of scales: Nominal, Ordinal, Interval and Ratio Scales. Parametric tests: Sampling Distribution and Standard Error. Element of Testing a Statistical Hypothesis- Formulation of the problem, Types of errors. Level of significance, large sample test for proportions, single mean and difference in two means. Small sample test- Application of Student’s t- test for small sample for single mean, difference in two means (independent and paired-t). ANOVA Non-parametric analysis: Chi-square test for population variance, Krukal Wallis H Test, Mann Whitney U – test.

 

12.00
Unit V: 
Introduction to various Statistical Softwares

Introduction to various Statistical Softwares- SAS, AMOS, SPSS, etc. Basics of SPSS Reading Data, Using Data Editor, Examining summary statistics for individual variables, creating and editing charts, working with output, sorting and selecting data. Presentation and Report writing: i. Report Writing: Format of research report, presentation (Tables, Charts, Diagrams, Labeling), footnote, endnote, bibliography, references. ii. The elements of research project

 

Essential Readings: 

1. Kothari, C.R. (Second Edition), Research Methodology- Methods and Techniques, Wishwa Publication, New Delhi.

2. Luck, David J. and Rubin, Ronald S., Marketing Research, Prentice-Hall of India Private Ltd., New Delhi.

3. Levin, Richard I. and Rubin, David S., Statistics for Management, Prentice-Hall of India Private Ltd., New Delhi

 

 

 

References: 

1. Goon, Gupta and Das: Fundamentals of Statistics, Vol. I and II.

2. Snedecor and Cochran, Statistical Methods, Oxford and IBH Publishers.

3. Shukla,M.C. and Gulshan S.S., Statistics Theory and Practice, Sultan Chand and Sons, New Delhi.

4. Gupta, S.P., Statistical Methods, Sultan Chand and Sons, New Delhi.

5. Gupta, S.C. and Kapoor V.K., Fundamental of Mathematical Statistics, Sultan Chand and Sons, New Delhi

6. Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.

7. Badarkar, P.L. and Wilkinson T.S. (2000), Methodology and Techniques of Social Research, Himalaya Publishing House, Mumbai

 

Academic Year: 
2014-2015
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