RESEARCH METHODOLOGY

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

This course will enable students to understand and known:

  • Research Methodology
  • Statistical Methods
  • Errors in Observation & calculations
  • Numerical Methods

 Learning Outcome

Learning and Teaching Strategies

Assessment Strategies-

The students will:

CO141.  Comprehend the research problem and process to conduct quality research.

CO142. Identify the data collection methods and sampling techniques

CO143. Perform descriptive analysis on data.

CO144. Frame the Hypothesis for a research problem and apply suitable statistical technique.

CO145. Apply correlation and regression on research data.

Approach in teaching:

Interactive Lectures, Tutorials, Demonstrations,

Learning activities for the students:

Self-learning assignments, Quizzes, Presentations, Discussions

·    Assignment

·    Classroom activity

·     Multiple choice questions

·     Semester End Examination

 

 

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: 
  • 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 lines

 

ESSENTIAL READINGS: 
  • H K Dangi, Shruti Dewen, Business Research Methods, Cengage Learning
  • Naresh Malhotra, Marketing Research, Pearson Education.
  • C.R.Kothari, Research Methodology, New Age Publication.
  • Levin & Rubin, Statistics for Management, Pearson.

 

REFERENCES: 

E-Resources including links:

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

 

 

 

Academic Year: 
2023-24
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