Master of Library and Information Science

Course Objectives/Outcome (CO)
1. To develop research skills in students and enable them to carry out research in Library & Information Science.
2. To understand on both qualitative & quantitative techniques for data analysis and consolidation.
3. To familiarize the art and style of writing a research report.
4. To utilize statistical software packages and reference management tools effectively in research projects.
Course Contents (CC)
Unit 1: Data Processing and Presentation
 Sampling Techniques: Concept, Purpose, Principles and Key terms in sampling terms
 Types of Sampling
 Processing of Data: Editing, Coding and Classification
 Data Presentation Techniques: Tabulation and Graphical Presentation.
Unit 2: Statistics and its Applications
 Types of Scales
 Descriptive statistics: Measures of Central Tendency and Dispersion
 Inferential statistics: Statistical estimation & Testing of Hypothesis
 Chi Square Test, T- test, Z- test etc.
Unit 3: Statistical Packages
 SPSS
 MS- Excel
 Web-based Statistical Analysis Tools: R Studio etc.
 Online Reference Management Tools
Unit 4: Research Reporting
 Purpose, Structure, Style, Contents
 Guidelines for Research Reporting
 Style Manuals: APA, ACS, IEEE and Chicago
 Plagiarism: Concept, Types, Ways to avoid plagiarism, Overview of Anti plagiarism softwares
 Current trends in LIS research.