This course will enable students to understand and known :
Meaning and purpose of Research; steps in research with special emphasis on concepts like problem, Hypothesis, constructs and variables; Types of Research
Experimental method; observation method, survey methods, field studies, case studies, Research design – Meaning, usage and types.
Primary Data : Interview, observation, Questionnaire, Semantic differential, Q-methodology, scales- tests, Sociometry; Secondary Data: data banks, review of journal, magazine, Reliabilities, suitability, internet and Adequacy of data, sampling : Meaning characteristics of good sample design, methods & Principles.
Definition and types of statistics, Levels of measurement, construction of frequency distribution, graphical representations: Histogram, frequency polygon, ogives, Bar diagram, pie charts, Analysis of Data and Report Writing : Types, format.
Descriptive Statistics:Measures of Central Tendency, measures of Variability Correlation and Multiple regression.
Inferential Statistics: Normal Probability Curve, Standard Error Formulas, t test, ANOVA, F -test, Chi square, Z test. Non Parametric Statistics: Uses; types.