Data analysis and interpretation is an important step in research process. The data should be subjected to statistical tests of significance to determine with what validity data can be said to indicate any conclusion. Clearly the science of statistics cannot be ignored by any researcher, even though he may not have occasion to use statistical methods in all their details and ramification. The important statistical measures that are used to summarize the survey/research data are measures of central tendency, dispersion, asymmetry, co-efficient of correlation, regression, index number etc.
Objectives of the Programme
The Participants will be able to:
Select appropriate research methods for conducting empirical research
Select statistical tools for data analysis
Construct and standardize research tools
Enhance their analytical skills
Contents of the Workshop
Overview of Research
Parametric and non-parametric statistics
Literature review
Experimental design including data design
Research Tools
Sampling and data collection
Factor analysis and Regression
Qualitative research and action research
Who should attend?
This workshop will be useful to
Academicians who want to enhance their research skills.
Research scholars and PG students in honing their research skills.
Industry executives in learning analytical and presentation skills for better decision-making.
About Resource Persons
Senior and experienced faculty from Panjab University Chandigarh, Punjabi University Patiala and RIMT University will conduct the workshop.
Participation Fee
The participation fee for the programme will be as under:
Faculty members of RIMT : Rs. 1000/-
Faculty members and Research Scholars of other University and Colleges : Rs. 1200/-
Email your queries at research@rimt.ac.in or santoshbali@rimt.ac.in or Contact Dr. Santosh Bali, AP & Coordinator, Research, RIMT University at 8288037643.
RIMT University, PNB Bank A/c No. 52482413000112 IFSC Code: PUNB0524810 Branch: Mandi Gobindgarh, Punjab Online Payment should be made through Net Banking, IMPS or NEFT