Faculty Development Programme on Advance Research Methodology and Analytics (With Session on SPSS)

Research is getting the top most priority in higher education today. College , an abode of Knowledge is expected to conduct genuine and high quality research which has impact on the society. Teaching and research complement each other, they should be synthesized so as to bring in relevance to the academic activity in the academia .

Management research institutes have the responsibility to imbibe the ‘research culture’ and should treat research activities as an investment rather than a cost.For undergoing high quality research and writing good research papers one requires to collect, interpret and logically document the information. The art of drawing coherent conclusions, supported by appropriate research tools and reference citation is vital for quality research work. The recent innovations in statistical applications, availability of statistical software’s allow scholars/researchers to take more complex test, multilevel and dynamic models.

Jaipuria Institute of Management in its constant endeavor to improve management skills has initiated this movement to improve the quality of research. The FDP programme on Advanced Research Methods and Analytics will be a practical and interactive workshop aimed to develop an understanding in designing and carrying out research and guide students for research projects and dissertation This FDP will offer practical hands on approach to use data analysis tools, software packages through case examples, and skill building exercises. It will provide a comprehensive understanding of research methodology that can better equip faculty to effectively guide their own research and students’ research work. The programme aims to cover topics like Research design- Understanding the basic functions of research design like problem formulation, hypotheses making, sampling, literature survey, types of research- exploratory vs. confirmatory, data collection procedure, data editing, data analysis- analysis and design of experiments, inferential statistics, multivariate statistics, use of SPSS package for data analysis, report writing, paper writing for journals, thesis writing etc.

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