For meeting our customers geospatial needs, we have partnered with Esri India Technologies Ltd., the leading Geographic Information Systems (GIS) software and solutions provider.
We are authorised Business Partners of Esri India for providing our customers
advanced machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization to find new opportunities, improve efficiency and minimize risk.
We are authorised Business Partners of Esri India for providing our customers
advanced machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization to find new opportunities, improve efficiency and minimize risk.
We are authorised Business Partners of Esri India for providing our customers
advanced machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization to find new opportunities, improve efficiency and minimize risk.
We are authorised Business Partners of Esri India for providing our customers
advanced machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization to find new opportunities, improve efficiency and minimize risk.
IQRN Live Webinar Series:
Multilevel Theory Development Using Code Co-occurrence Analysis in ATLAS.ti
About the webinar
With the increasing complexity of research data, the ability to analyze nested and hierarchical data structures is essential for building comprehensive theoretical models. In this webinar, participants will delve into the fascinating world of multilevel theory development using the power of Code Co-occurrence Analysis in ATLAS.ti. This course aims to provide researchers, scholars, and students with the skills needed to harness the full potential of ATLAS.ti for multilevel theory development practices. Specifically, the objectives of this short webinar are fourfold: a)
Understanding Multilevel Theory Development via attaining a profound comprehension of the underlying concepts and principles governing multilevel theory development, b) Mastering ATLAS.ti's Code-Cooccurrence Table, c) Creating Multilevel Theoretical Models, and d) Enhancing Research Capabilities via acquiring invaluable competencies that will not only elevate your research capabilities but also distinguish you within the academic and research community as a proficient practitioner in the domain of multilevel theory development.
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Duration: 60 minutes
Language of instruction: English
Presenter: Majid Ghasemy
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Multilevel Theory Development
Using Code Co-occurrence Analysis in ATLAS.ti
Today, Wednesday, April 17, 2024
7.30pm to 8.30pm IST
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Majid Ghasemy is a Senior Lecturer at the National Higher Education Research Institute (IPPTN), Universiti Sains Malaysia (USM). He has held various significant roles, including being the former coordinator of the Global Higher Education Network (GHEN) Malaysia and a mentor for the Web of Science (Publons) Academy. Majid holds the distinction of being a certified ATLAS.ti professional senior trainer, and he is recognized as the sole EQS/EQSIRT consultant globally. Majid holds a prestigious PhD in educational management from the University of Malaya (UM). His research interests are diverse and encompass several critical aspects of education, including educational leadership and management, higher education policy, performance effectiveness, educational psychology, sustainable development, contemporary issues in higher education, and research methods.