COURSE OUTLINE

Lecture No

Topic To be Discussed

1

Introduction to Business Research: Business Research: Definition & Nature, The
Scientific Method

2

The Business Research Process, Errors in Business Research. Research
Design and Data Sources

3

Types of research and research designs, Primary data and its sources,
Secondary data and its sources

4

Data Collection Procedures: The Measurement Process,
Concepts of validity and reliability, The casual design procedures

5

Data Collection Methods,
Observation, Documentary-Historical Method, The Survey Method, Data Collection
Instruments: Questionnaire, Interview and Scheduling, Problems in Data Collection

6

Sampling:
Sampling Concepts, The Sampling Procedures (Types of Sampling), Determining a sample size
& Selection of sample. Data Processing And Analysis:

7

Basic concepts of data processing:
Computer representation, Data Matrix, Data Storage Data Processing flow:

8

Editing, Coding,
Handling Blank Responses, Coding, Categorization, Converting, Weighting, Storing etc.,
Alternative processing flows

Mid Term Exam

 

9

University data analysis, Measurement of central tendency,
Measurement of dispersion, Hypothesis Testing, Bavaria data analysis

10

Linear Correlation,
Simple Regression, The Chi-Square Test, The Cross-Tabular Tables, Elaboration of
relationships, Multivariate data analysis: Interdependence Methods, Factor analysis

11

Cluster
analysis, multidimensional analysis, Multivariate data analysis: Dependence methods, Multiple
Regressions, Analysis of Variance & Covariance

12

Discriminate analysis.

13

Research Project
Proposal: Rationale for the study defining the problem, Research Objectives, Information needs

14

Research design, Data collection procedure, Data processing & analysis

15

Research Team and its profile,

16

Budget, Time Table

Final Term Exam