Research Methodology

Paper Code:

25DENV 705

Credits:

Contact Hours:

60.00

Max. Marks:

100.00

Objective:

This course will enable the students to -

Familiarise students with the basics of research and the research process
Impart knowledge for enabling students to develop data analytics skills and meaningful interpretation of the data sets to solve research problems

Course Outcomes:

Course	Course Outcomes	Learning and teaching strategies	Assessment Strategies
Course Code	Course Title
25DENV 705	Research Methodology	Upon completion of this course, students will: CO111: Assess research concepts, demonstrating the ability to formulate problems effectively and recognize the importance of literature reviews. CO112: Evaluate various data collection methods and assess sample design criteria for selecting appropriate sampling procedures. CO113: Apply statistical analysis techniques, including measures of central tendency and dispersion, to analyze research data effectively. CO114: Analyze correlation relationships and apply regression analysis to model relationships between variables in research studies. CO115: Conduct hypothesis testing using statistical methods, demonstrating proficiency in formulating hypotheses and drawing valid conclusions from research data. CO116: Contribute effectively in course-specific interaction	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

Course

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Course Code

Course Title

25DENV 705

Research Methodology

Upon completion of this

course, students will:

CO111: Assess research concepts, demonstrating the ability to formulate problems effectively and recognize the importance of literature reviews.

CO112: Evaluate various data collection methods and assess sample design criteria for selecting appropriate sampling procedures.

CO113: Apply statistical analysis techniques, including measures of central tendency and dispersion, to analyze research data effectively.

CO114: Analyze correlation relationships and apply regression analysis to model relationships between variables in research studies.

CO115: Conduct hypothesis testing using statistical methods, demonstrating proficiency in formulating hypotheses and drawing valid conclusions from research data.

CO116: Contribute effectively in course-specific interaction

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 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 for selecting a 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:

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
Montgomery, 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