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Course Detail

Course Name Research Methodology – I
Course Code 26BUS490
Program BBA (Honours) – Digital Marketing and Artificial Intelligence (Girls Only)
Semester 7
Credits 4
Campus Kochi

Syllabus

Unit 1Theoretical framework in research ? develop a conceptual framework in research ? To develop theoretical and conceptual framework with two or three research problems.Unit 2Measurement and scaling ? meaning ? classification of measurement scales ? testing of sound measurements ? techniques of scaling ? rating scales ? arbitrary scales ? differential scales ? Likert type scales ? cumulative scales ? factor scales ? multidimensional scaling.Unit 3Time series analysis ? seasonal variations, cyclical variations – Random (irregular variations) ? Measurement of trend method of curve fitting by the principle of least squares.Unit 4Parametric Tests ? Student t-tests ? Analysis of Variance (ANOVA) ? Regression Analysis ? Correlation Analysis ? done with two or three groups of data designed by the class ? Nonparametric Tests ? advantages and limitations of nonparametric Tests ?Mann-Whitney U Test ? Kruskal-Wallis Test ? Chi-Square Test ? Spearman’s Rank Correlation ? done with two or three groups of data designed by the class.Hypothesis Testing ? done with two or three groups of data designed by the class.Unit 5Interpretation of data and statistical fallacies ? Factors leading to mis-interpretation of data or statistical fallacies.

Objectives and Outcomes

Course Objective:

To equip students with the skills and knowledge necessary to design, conduct, analyse and ethically present research using theoretical frameworks and appropriate statistical tests.

Course Outcomes:

The student will be able:

CO1. To understand the concept of theoretical and conceptual framework in research.

CO2. To understand the basic concepts of measurement and scaling.

CO3. To gain knowledge of time series analysis

CO4. To perform parametric and non-parametric tests with secondary data collected for the purpose.

CO5. To interpret data without statistical fallacies.

 

 

PO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

PO13

PO14

PO15

CO1

1

1

1

1

0

0

0

0

0

1

1

2

1

1

1

CO2

1

1

2

1

0

0

0

0

0

1

1

2

1

1

1

CO3

1

1

2

1

0

0

0

0

0

1

1

2

1

1

1

CO4

1

1

2

1

0

0

0

0

0

1

1

2

1

1

1

CO5

1

1

2

1

0

0

0

0

0

1

2

2

1

1

1

Text Books / References

Textbooks:1. Khunte L G,S. Sree Priya, R. Muthulakshmi, Dr. Susan Mathew – Research Methodology and PublicationEethics – REST Publishers2. Kothari – Research Methodology – New Age Publishers3. L.R. Potti – Research Methodology – Yamuna Publications4. L.R. Potti – Quantitative Techniques and Operations Research – Yamuna Publications5. S.C. Gupta – Fundamentals of statistics – Himalaya Publishing House.References:1. Ranjit Kumar – Research Methodology: A Step-by-Step Guide for Beginners – Pearson2. Anil Tandon – Research Methodology: Methods and Techniques – Anmol Publication

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