Course Details

Subject {L-T-P / C} : SM6611 : Business Research Methodology { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Dr. Vikas Thakur

Syllabus

Module 1:
Research: – Definition, Meaning, Importance types and Qualities of Research Research applications in functional areas of Business, Emerging trends in Business research. Research & the Scientific Method: Characteristics of scientific method. Steps in Research Process Concept of Scientific Enquiry: – Formulation of Research Problem – Management Question – research Question – Investigation Question (8 hours)
Module 2:
Research design: Concept, Features of a good research design, Use of a good research design Qualitative and Quantitative research approaches, Comparison – Pros and Cons of both approaches. Research Designs: Concept, types and uses. Concept of Cross-sectional and Longitudinal Research. Experimental Design: Concept of Cause, Causal relationships, Concept of Independent & Dependent variables, extraneous variable, Treatment, Control group.
(8 hours)
Module 3:
Scaling & measurement techniques: Concept of Measurement: Need of Measurement Problems in measurement in management research – Validity and Reliability. Levels of measurement – Nominal, Ordinal, Interval, Ratio. Concept of Scale – Rating Scales viz. Likert Scales, Semantic Differential Scales, Constant Sum Scales, Graphic Rating Scales – Ranking Scales – Paired comparison & Forced Ranking – Concept and Application. (8 hours)

Module 4:
Sampling and sampling distributions: Basic Concepts: Defining the Universe, Concepts of Statistical Population, Sample, Characteristics of a good sample, Sampling errors, Non Sampling errors, Methods to reduce the errors, Sample Size constraints, Non Response. Types of Sampling. Determining size of the sample – Practical considerations in sampling and sample size, sample size determination (8 hours)
Module 5:
Data Analysis: Editing, Coding, Tabular representation of data, Graphical Representation of Data. Descriptive Statistics and Probability: Measures of Central Tendency, Dispersion, Skewness & Kurtosis. Probability Distribution and Sampling: Discrete, Binomial, Poisson, Continuous, Normal Sampling Distribution, Statistical Estimation. Questionnaire Construction, Content Analysis, Validity and Reliability Test (8 hours)
Module 6:
Bi-variate Analysis: Linear Regression Analysis: Meaning and two lines of regression relationship between correlation and regression co-efficient, Cross tabulations, Chi-square test Concept of Hypothesis & Hypothesis Testing (one sample test and two sample tests). Test of Significance: Small sample tests: t (Mean, proportion) and F tests, Z test, Analysis of Variance: One way and two-way Classifications, Interpretation of the given data and report preparation. Multivariate Data Analysis: Factor Analysis, Multi- Dimensional Scaling. (8 hours)

Course Objectives

Course Outcomes

After the completion of this course, students will be able to: <br /> <br />CO1: understand knowledge on fundamental principles and concepts of Business Research Methodology. <br />CO2: describe the various Business Research techniques and data analysis tools to identify and solve research problem. <br />CO3: apply the knowledge of Business Research Methodology to design different research projects. <br />CO4: evaluate and judge the performance of the different business research methodology and data analysis technique. <br />CO5: identify the necessity of Business Research in various stages of the business.

Essential Reading

Supplementary Reading