Research Methodology

Paper Code: 
DENV 705
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to -

  1. Familiarize students with basic of research and the research process
  2. Impart knowledge for enabling students 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

DENV 705

Research Methodology

Upon    completion              of              this

course, student will:

CO81: Illustrate different types of

research,    objectives    of                  doing

research, research process, and

sampling

CO82: Develop a range of skills

involved in formulating a research proposal including framing research questions, reviewing the literature and choosing appropriate methodologies for different types of study

CO83:         Adapt   a   range   of

quantitative      and                        qualitative

research      designs                   used          in

environmental      research                           and

identify    the               advantages               and

disadvantages                          associated                        with

these designs.

CO84:      Integrate               appropriate

hypothesis testing procedures to

analyze the research data

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

 

12.00
Unit I: 
Introduction to Research
  • Meaning, Objectives and Types of research
  • Research Process (Basic steps)
  • Formulation of Research Problem and Its Elements
  • Literature Review: Objectives, Importance and Process
  • Criteria of a good research
  • Qualities of a good research worker
  • Basic principles of Research Ethics

 

12.00
Unit II: 
Data Collection and Sampling
  • 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

 

12.00
Unit III: 
Statistical Analysis
  • Measurement Scales: Ordinal, Interval, Ratio and Nominal
  • Classification of data: Objectives and types of classification
  • Frequency Distributions: Cumulative and Relative
  • 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

 

12.00
Unit IV: 
Correlation and Regression
  • 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

 

12.00
Unit V: 
Data Analysis and Hypothesis Testing
  • 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 test).
  • 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

 

Essential Readings: 

ESSENTIAL READINGS

  • 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.
  • Kumar, R. (2015). Research Methodology: A step-by-step guide for Beginners

SUGGESTED READINGS

  • Mishra S.M. and Alok S. (2011). Handbook of Research Methodology. Educreation Publishing, New Delhi
  • 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.
  • Goon, A.M., Gupta, M.K. and Dasgupta, B. (1991): Fundamentals of Statistics, Volume II, The World Press Pvt Ltd, Calcutta
  • Mood Alexander M., Graybill Frankline and Boes Duane C.(2007): Introduction to Theory of Statistics, McGraw Hill & Company Third Edition

 

References: 

e-RESOURCES

JOURNALS

  • Calcutta Statistical Association Bulletin
  • The Aligarh Journal of Statistics
  • Afrika Statistika

 

Academic Year: 
2023-2024
  • Printer-friendly version
  • PDF version