Description
SYLLABUS
(1) Introduction to Research:
- Meaning, Objectives and Importance of Research.
- Types of Research.
- Research Process.
- Characteristics of Good Research.
- Hypothesis – Meaning, Nature, Significance, Types and Sources.
- Research Design – Meaning, Definition, Need and Importance, Steps, Scope and Essentials of a Good Research Design.
- Sampling –
(a) Meaning of Sample and Sampling.
(b) Methods of Sampling:
(i) Non-Probability Sampling – Convenient, Judgment, Quota, Snow ball
(ii) Probability – Simple Random, Stratified, Cluster, Multi Stage.
(2) Data Collection and Processing:
- Types of Data and Sources-Primary and Secondary Data Sources
- Methods of Collection of Primary data
- Observation: (i) structured and unstructured, (ii) disguised and undisguised, (iii) mechanical observations (use of gadgets)
- Experimental: (i) Field (ii) Laboratory
- Interview: (i) Personal Interview (ii) focused group, (iii) in-depth interviews Method
- Survey: Telephonic survey, Mail, E-mail, Internet survey, Social media, and Media listening.
- Survey instrument: (i) Questionnaire designing.
- Types of questions: (i) structured / close ended and
(ii) unstructured/open ended, (iii) Dichotomous,
(iv) Multiple Choice Questions.
- Scaling techniques: (i) Likert scale, (ii) Semantic Differential scale.
(3) Data Analysis and Interpretation:
- Processing of Data: Meaning and Essentials of (i) Editing (ii) Coding (iii) Tabulation
- Analysis of Data: Meaning, Purpose, Types.
- Interpretation of Data: Essentials, Importance, Significance and Descriptive Analysis
- Testing of hypothesis: One Sample T-Test, ANOVA, F-test, Chi Square and Paired Sample Test
(4) Advanced Statistical Techniques:
Introduction, Characteristics and Application of
- Correlation and Regression Analysis
- Factor Analysis
- Cluster Analysis
- Discriminant Analysis
- Multidimensional Scaling
(5) Research Report:
Report writing: Meaning, Importance, Structure, Types, Process and Essentials of a Good Report.
