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SYLLABUS

                                               Research Methodology

          Objectives: The general objective of this course is to introduce students to methods of research. The specific objectives are: To
          develop understanding of the fundamental theoretical ideas and logic of research; To develop understanding of the issues
          involved in planning, designing, executing, evaluating and reporting research; To introduce students to many of the technical
          aspects of how to do empirical research using some of the main data collection and analysis techniques.

                                          DCOM408 RESEARCH METHODOLOGY

              Sr. No.                                      Description
                   1    An Introduction to Research: Meaning, Process, Defining, Research Problem:

                        Selection, Understanding, Necessity of defined problem, Research Design , need and
                        types of Research Design

                   2    Sampling Design: Steps of Sampling design, Characteristics of good Sampling

                        Design, Different types of Sampling Design.
                   3    Measurement and Scaling Technique: Tools of Sound Measurement, Techniques

                        Of Developing Measurement Tools, Scaling meaning and Important Scaling
                        Techniques

                   4    Data Collection: Primary ( Interview, Observation and Questionnaire and

                        Collection of Secondary Data
                   5    Data Analysis-1: Measure for Central Tendency, Dispersion

                   6    Data Analysis-2: Correlation And Regression Analysis , Time series and index

                        number
                   7    Hypothesis Testing: Hypothesis Definition and Formulation, t test , z test , ANOVA

                   8    Multivariate Analysis-1: Classification, Important Methods of Factor analysis,

                        factor analysis , rotation in Factor Analysis, overview of cluster analysis
                   9    Multivariate Analysis-2: Discriminant analysis, multi-dimensional scaling, conjoint

                        analysis
                   10   Report Writing: Technique and Precaution of Interpretation, Significance of Report

                        Writing, Layout and Types of Report
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