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.
- Teacher: Yuvraj Jadhav
