COURSE WORK

UNIT – I

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.

UNIT-II

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.

UNIT-III

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.

UNIT -IV

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.

UNIT - V

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

References

• 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

Introduction

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.

SPSS

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.

• 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

• 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

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.