Paper – 1st Research Methodology


Introduction: Definition of Research, Qualities of Researcher, Components of Research Problem, Various Steps in Scientific Research, Types of Research; Hypotheses Research Purposes - Research Design - Survey Research - Case Study Research.


Data Collection: - Sources of Data: Primary Data, Secondary Data; Procedure Questionnaire - Sampling Merits and Demerits - Experiments - Kinds - Procedure; Control Observation - Merits - Demerits - Kinds - Procedure - Sampling Errors - Type-I Error - Type-II Error.


Statistical Analysis: Introduction to Statistics - Probability Theories - Conditional Probability, Poisson Distribution, Binomial Distribution and Properties of Normal Distributions, Point and Interval Estimates of Means and Proportions; Hypothesis Tests, One Sample Test - Two Sample Tests / Chi-Square Test, Association of Attributes - t-Test - Standard deviation - Co-efficient of variations - Index Number, Time Series Analysis, Decision Tree.


Statistical Application: Correlation and Regression Analysis - Analysis of Variance, Completely Randomized Design, Randomized Complete Block Design, Latin Square Design - Partial and Multiple Correlation - Discriminate Analysis - Cluster Analysis - Factor Analysis and Conjoint Analysis - Multifactor Evaluation, Two-factor Evaluation Approaches.


Research Reports: Structure and Components of Research Report, Types of Report, Good Research Report, Pictures and Graphs, Introduction to SPSS.


  • Wilkinson & Bhandarkar: Methodology and Techniques of Social Research.
  • Pauline Vyoung: Scientific Social Surveys and Research.
  • Panneerselvam, R., Research Methodology, Prentice Hall Of India, New Delhi, 2004.
  • Kothari: Research Methodology.
  • Festinger. L & D. Katz: Research Methods in Behavioral Science.
  • Sellitz, Et Al: Research Methods in Social Relations

Paper- 2nd Computer Application


Classification of computers, computer memory, types of software’s: application of system software’s operating systems and types, single user, multi user, multi-tasking single tasking, application of computer for business and research.

Data Communication and networks

Data communication concepts, local area network, wide area network, internet, intranet, extranet, website. Email, search engines-enterprise E communication and E collaboration

MS Office and its application

File handing in window, various versions of MS Office, M S-Word: Test formatting, Mail merge, Macro, M S-Excel: Features, various formulas and functions M.S. Power Point: Creating presentations and adding effects.


Introduction to SPSS: Definition, objectives and features, data analysis using SPSS: Data entry creating variables, switching to data labels, data analysis: Frequencies, recording into different variables, cross tabulations and layers.

Application of Internet in research

INFLIBNET, Use of Internet, sights (DOAJ), Use of E Journals, Use of E- library, use of EBSCO HOST online database of Academic Libraries.

Paper – 3rdQuantitative Method

  • Meaning and definition of quantitative method
  • Arranging data to convey meaning – Tables, Graphs and Frequency Distribution
  • Measures of Central Tendency and Dispersion
  • Simple and Multiple regression and correlation
  • Association of Attributes
  • Probability – probability Distributions, Binomial, Poisson and Normal
  • Liner Programming - Formulation and Graphical solution to two variables – Assignment Problems, Transportation problems
  • Queuing Theory – Single Server And Multi-Server
  • Markov chains with Simulation Techniques – Monte Carlo Simulation
  • Game theory – 2x2 zero sum game with dominance – pure strategy and mixed strategy
  • Decision Theory – 5 criteria of decision making
  • Chi-square
  • Discriminant Analysis
  • Factor Analysis
  • Cluster Analysis
  • Multidimensional Scaling
  • ‘T’ Test
  • ‘F’ Test
  • ‘Z’ Test

Paper – 4th Reviewing of Published Research in the Relevant Field

  • Examining the methods of evaluating and interpreting published research.
  • Developing skills needed to research available literature for information relevant to a given topic.
  • Exploring the principles and techniques of topic/project development and testing.
  • Examining the methods of evaluating and interpreting data collected in the research process.
  • Developing an understanding of the various statistical methods that can be used to analyze data.
  • Demonstrating the ability to use statistical analysis tools and apply them in decision making activities.
  • Demonstrating the ability to create a template document that can be used to complete your research project or thesis

Course work Plan

1st Phase

  • Research Methodology
  • Computer Application

2nd Phase

  • Quantitative method
  • Reviewing of published research in the relevant field.

The above phase of course work classes shall be completed in a semester. The university shall manage part time or continue/residential classes for course work.

Study plan

  • The course work classes are mandatory to attend 3 days in a month alternatively.
  • The assignment should be submitted time to time.
  • Evaluation examination held in end of course time.
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