Research Methodology
Domain
Doctorate
Batch
05
Course Duration
2 Years
Commencement Date
March 2024
Application Closure Date
Closing Soon
Course Objectives:
- To grasp the core principles of research, including types of research, the research process, hypothesis formation, and the essentials of research design.
- To earn to define research problems, conduct literature reviews, and create well- structured research designs while minimizing errors in research.
- To explore different types of models, stages of model building, and essential data considerations, along with the skills needed for effective report and thesis writing.
- To gain proficiency in designing experiments, including factorial designs, and understand the principles of replication, randomization, and blocking, with a focus on hypothesis testing and ANOVA.
- To acquire knowledge of various scaling techniques, measurement varieties, and the application of both parametric and non-parametric tests, including hypothesis testing and confidence interval analysis.
- To delve into two-factor factorial designs, understand main effects and interactions, and learn to interpret response surfaces and contour plots for comprehensive experiment analysis.
Course Outcomes:
- Students will be able to understand of research types, processes, and the formulation of hypotheses, research proposals, and designs.
- Students will be able to develop and apply various research models, including heuristic and simulation modeling, and understand the stages of model building and data considerations.
- Students will be able to gain proficiency in designing engineering experiments, including factorial experimental design and analysis of variance (ANOVA).
- Students will be able to understand and apply different types of scaling and measurement techniques, along with parametric and non-parametric tests.
- Students will be able to execute and analyze single and two-factor factorial designs, understanding the concepts of main effects, interactions, response surfaces, and contour plots.
- Students will be able to cultivate the ability to critically assess research errors, ensure the validity and reliability of research findings, and apply rigorous methodologies in experimental design and data analysis.
Detailed Syllabus:
-
Unit1: Research Fundamentals:
Types, Research process and steps in it, Hypothesis, Research proposals and aspects, Research Design: Need, Problem Definition, variables, research design concepts, Literature survey and review, Research design process, Errors in research.
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Unit2: Research Modeling:
Types of Models, Model building and stages, Data consideration and testing, Heuristic and Simulation modeling, Report Writing: Pre writing considerations, Thesis writing, Formats of report writing, Formats of publications in Research journals.
-
Unit3: Design of Experiments
Unit4: Scaling Measurement & Tests: Types of scaling*, Varieties of measurement, Parametric & Non-Parametric Tests. Experiment Precaution & Measurements: Hypothesis, Normal Distribution Graph, Level of Significance, Level of Confidence, Confidence interval, Degree of Freedom.
-
Unit4: Scaling Measurement & Tests:
Types of scaling*, Varieties of measurement, Parametric & Non-Parametric Tests. Experiment Precaution & Measurements: Hypothesis, Normal Distribution Graph, Level of Significance, Level of Confidence, Confidence interval, Degree of Freedom.
-
Unit5: Single Factor Experiment:
Two factor Factorial Design, Basic definitions and principles, main effect and interaction, response surface and contour plots , General arrangement for a two fact or factorial design; Models Effects, means and regression, Hypothesis testing.
Detailed Syllabus:
- Cooper & Schindler, Business Research Methods, Tata McGraw Hill.
- Malhotra Naresh K., Marketing Research, Pearson Education
- Power Analysis for experimental Research: A practical Guide for the Biological, Medical and Social Sciences by R. Barker Baushell, Yu-Fang Li Cambridge University Press
- Chandan J. S., Statistics for Business and Economics, Vikas Publications.
- Broota, K.D., Experimantal Designs in Behavioural Research, New Age International
- Singh A. K., Test Measurement and Research Methods in Behaviours Sciences, Bharti Bhawan
- Joyce Cox & Polly Urban, Microsoft Office, Galgotia Publishing
- Sinha P.K., Computer Fundamentals, BPB Publishing.
- Latex: A Document Preparation System, 2/E pearson low price edition by Lamport
Reference Books:
- Cooper & Schindler, Business Research Methods, Tata McGraw Hill.
- Saunders, Research Methods for Business Students, Pearson Education
- Allen T Harrell, New Methods in Social Science Researches, Praeger Publishers, New York
- Beri, G.C., Statistics for Management, Tata McGraw-Hill
- Chandan J. S., Statistics for Business and Economics, Vikas Publications.
- Broota, K.D., Experimental Designs in Behavioural Research, New Age International
- Joyce Cox & Polly Urban, Microsoft Office, Galgotia Publishing
- Sinha P.K., Computer Fundamentals, BPB Publishing.
Text Books:
- Stuart Melville and Wayne Goddard, “Research methodology: an introductio for science & engineering students”.
- Wayne Goddard and Stuart Melville, “Research Methodology: An Introduction”.
- Ranjit Kumar, 2nd Edition, “Research Methodology: A Step by Step Guide for beginners”

Dr. Sukirti Priyadarshini
Dr. Sukirti Priyadarshni with over 14 years of experience in teaching and conducting research in private universities. Her academic journey showcases a strong foundation in psychology, with a Ph.D. in Clinical Psychology from the University of MGCGV Satna and a Master's degree in Clinical Psychology from Dev Sanskriti Vishwavidhyalaya, where she graduated as a Gold Medalist.Her contributions to academia extend beyond teaching and research, as evidenced by her numerous publications in international journals and her authorship of two books. Her research papers cover a wide range of topics, from the effects of yogic interventions on mental health to the analysis of psychological themes in Indian cinema.
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