Coming soon
RESEARCH METHODOLOGY
Course objectives
This course will enable the students to -
- Get acquainted with basic of research and the research process
- Gain knowledge to develop data analytics skills and meaningful interpretation to the data sets so as to solve research problem
Course Outcomes (COs):
|
Course |
Learning outcomes (at course level) |
Learning and teaching strategies |
Assessment Strategies |
|
|
Paper Code |
Paper Title |
|||
|
ENV 422 |
Research Methodology |
Upon completion of this course, student will be able to: CO73: Develop understanding on various kinds of research, objectives of doing research, research process, and sampling CO74: Identify the overall process of designing a research study from its inception to its report CO75: Select methods appropriate to research aims and objectives CO76: Develop skills of data analysis-and hypothesis testing procedures |
Approach in teaching: Interactive Lectures, Group Discussions, Case studies, Computer aided instructions, tutorials Learning activities for the students: Problem solving, concept formation, assigned questions, simulations, surveys |
Quiz, Assignment Tutorials, Class test, Assignments Semester End Examination |
- Meaning and Objectives of Research
- Types of research
- Research approaches
- Social research- Concept, objectives and Importance
- Qualities of a good research worker (general and specific)
- Criteria of a good research
- Problems encountered by researchers in India
- Research Process
- Steps in Sample Design
- Criteria of selecting sampling procedure
- Types of Sample Design: probability and non-probability sampling
- Methods of Data Collection:
- Observation Method: types, merits and limitations
- Interview: types, merits and limitations
- Questionnaire: main aspects of questionnaire, essentials of a good questionnaire, merits and limitations
- Schedule
- Classification of data: Objectives and types of classification
- Frequency Distributions
- Graphical presentation of data- Histogram, Frequency Polygon, Frequency curve and Ogives
- Measure of Central Tendency- Mean, Median, Mode & their properties, merits and demerits.
- Measure of Dispersion- Range, Quartile Deviation, Mean Deviation and standard deviation
- Correlation Analysis- Definition and concept, Significance and types of correlation, properties of correlation coefficient
- Measures of studying correlation
- Karl Pearson’s coefficient of correlation, its assumptions, properties, merits and demerits
- Spearman’s Rank correlation coefficient
- Regression Analysis-Concept, uses, Regression Coefficients, Regression Equations, Fitting of Regression lines
- Basics of 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 single mean, difference in two means, single proportions, difference in two proportions.
- Small sample test- Application of Student’s t- test for small sample for single mean, difference in two means (independent and paired-t).
- Chi-square test for independence of attributes.
- Analysis of Variance- Concept of ANOVA, its assumptions, Basic idea of one-way and two-way classification with simple questions
- Fisher, R. A. (2007). Statistical Methods for Research Workers. New Delhi:Cosmo Publications.
- Gupta, S. P. (2009).Fundamentals of Statistical Methods. Sultan Chand & Sons
- Kothari, C. R. (2004).Research Methodology: Methods and Techniques.New Age International Publishers.
- Krishnaswamy, O. R. and Rangnatham, M. (2005). Methodology of Research in Social Sciences. Himalaya publication House.
- Montogomery, D. C. (2001). Design and Analysis of Experiments. John Wiley
- Norman, G. R. and Streiner, D.L.(2008). The Bare Essentials 3/E (Biostatistics: The Bare Essentials Biostatistics. Mcgraw-hill Medical.
- Triola, M. (2006). Biostatistics for the Biological and Health Sciences with Statdisk.Pearson Addison-Wesley, publications.
