Training & Development

Global Illuminators Training & Development Wing is a world-class capacity building organization established to serve for human skill development across the globe. Its core mission is to support civil society organizations, Public, and Private sectors to enhance the productive capabilities of their human capital for sustainable development. Our primary mission is to serve the growing and complex needs of human capital through advanced methods of training, consultancy and research.

Our team has practical exposure & experience, with higher level of academic and professional qualification. The diversity of our structure reflects our true potential in developing and helping communities.

Case Study WORKSHOP

For registration details Click Here
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SPSS and NVIVO

Global Illuminators Training & Development Wing is striving for the capacity building of the human resource associated with civil society and academic community.

We are regularly conducting workshops, to train the researchers in planning, conducting and publishing high quality research. We provide individual / groups training, and offer various research solutions to promote research culture. We have academicians, researchers, scholars, corporate consultants of international repute, on our panel to share the experience and knowledge with the learners.

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MATLAB Workshop

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SPSS & NVIVO-Workshops

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Publish in ISI & High Impact Factor Journals

Date:  April 22, 2016
Venue: The Silk Art + Design Hotel, Bandung Indonesia
Instructor: Dr. Muhammad Abbas
Getting published is considered a great achievement. It is considered to be the surest tool for landing the desired job and career progression. It is the best way of getting international recognition and many people have entered international job markets on the basis of their internationally published research. In recent years academia planning department has also placed research in universities as its priority number one. Faculty hiring, promotions either in Basic Pay Scales (BPS) or on Tenure Track System (TTS) is mainly linked with research publications. Survival and growth in academic profession is now mainly dependent on research output. Similarly for Ph.D students, publication of a research paper is mandatory for award of Ph.D degree. However, despite growing concern by universities and faculty members to get more research publications, very few people know the exact methodology, pattern and format for developing a research paper that can meet the requirements of international journals. Resultantly most of research papers are not published by international journals. This workshop is intended to discuss basic format of a research paper which can be published in international journals. By focusing on key areas the workshop will enable participants to develop skills for writing a publishable research paper. The resource persons for this workshop have a proven record of publication in well reputed international journals. They also have an exposure of attending research conferences in various parts of the world.

AMOS

Date:  June 5, 2013
Venue: Computer Lab, Faculty of Science, University of Malaya, kuala Lumpur
Instructor: Prof. Dr. Ravindran Ramasamy
This Training Program is a brief introduction and overview of structural equation modeling using the AMOS (Analysis of Moment Structures) software. Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance and multiple linear regression. The workshop features an introduction to the logic of SEM, the assumptions and required input for SEM analysis, and how to perform SEM analyses using AMOS. By the end of this Training you should be able to fit structural equation models using AMOS. You will also gain an appreciation for the types of research questions well-suited to SEM and an overview of the assumptions underlying SEM methods. You should already know how to conduct a multiple linear regression analysis using SAS, SPSS, or a similar general statistical software package. You should also understand how to interpret the output from a multiple linear regression analysis. Finally, you should understand basic Microsoft Windows navigation operations: opening files and folders, saving your work, recalling previously saved work, etc.