RESEARCH METHODOLOGY

Paper Code: 
24DCAI 803
Credits: 
03
Periods/week: 
03
Max. Marks: 
100.00
Objective: 

Course Objectives:

The course will enable the students to learn

  1. Research Methodology
  2. Statistical Methods
  3. Errors in Observation & calculations

Numerical Methods

Course Outcomes: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course

title

 

24DCAI 803

 

RESEARCH METHODOLOGY

(Theory)

CO169.  Appraise the research problem and process to conduct quality research.

CO170. Identify the data collection methods and sampling techniques

CO171. Assess descriptive analysis on data.

CO172. Develop the Hypothesis for a research problem and apply suitable statistical technique.

CO173. Apply correlation and regression on research data.

CO174. Contribute effectively in course-specific interaction

 

Approach in teaching:

Interactive Lectures, Discussion, PowerPoint Presentations, Informative videos

 

Learning activities for the students: 

Self-learning assignments, Effective questions, presentations.

 

 

 

Assessment tasks

will include Class

Test on the topics,

Semester end

examinations,

/Quiz, Student

presentations and

assignments.

 

9.00
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
  • Scientific misconducts: falsification, fabrication, & plagiarism (FPP).
  • Violation of publication ethics, authorship & contributor-ship, Predatory Publishers & journals.

 

9.00
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

 

9.00
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

 

9.00
Unit IV: 
Sampling Distribution and Standard Error:
  • 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

 

9.00
Unit V: 
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 line

 

ESSENTIAL READINGS: 

SUGGESTED TEXT BOOKS:

  1. H K Dangi, Shruti Dewen, Business Research Methods, Cengage Learning
  2. Naresh Malhotra, Marketing Research, Pearson Education.

 

REFERENCES: 

Suggested Reference Books: 

  1. C.R.Kothari, Research Methodology, New Age Publication.
  2. Levin & Rubin, Statistics for Management, Pearson.

 

Reference Journals:

  1. Journal of Survey Statistics and Methodology
  2. International Journal of Social Research Methodology

 

e-Resources including links

  1. Marketing Research, Bajpai, Elibrary.in.pearson.com
  2. Research Methods for Business Students, 5e Saunders, Elibrary.in.pearson.com

 

Academic Year: 
2024-25
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