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This course is designed to equip Ph.D. students, researchers, and professionals with advanced tools and techniques to tackle complex business challenges. Whether you're conducting academic research or addressing practical business issues, this course provides comprehensive insights into cutting-edge methodologies and their applications.
What You’ll Learn:
Overview of Advanced Research Methods
Understand the importance of selecting the right methods and differentiate between traditional and advanced techniques.
Embrace methodological rigor and innovation to enhance the quality of your research.
Quantitative Research Methods
Master advanced statistical techniques like multivariate analysis (EFA, CFA), structural equation modeling (SEM), and advanced regression models.
Dive into econometric methods, including time series analysis, ARIMA models, and panel data analysis.
Explore big data and machine learning applications for predictive analytics and clustering.
Qualitative Research Methods
Conduct ethnographic studies, develop grounded theories, and perform narrative analysis.
Understand discourse analysis to explore organizational structures and communication strategies.
Mixed Methods Research
Combine qualitative and quantitative methods for a comprehensive understanding of phenomena.
Learn to address challenges in dataset integration and ensure coherence in interpretations.
Simulation and Modeling Techniques
Use agent-based modeling, system dynamics, Monte Carlo simulations, and optimization models to analyze business systems and strategies.
Action Research and Participatory Methods
Solve real-world business problems with collaborative research cycles and stakeholder engagement.
This course emphasizes practical applications, ethical practices, and methodological rigor, preparing you to excel in academic and professional research settings. Join now to advance your expertise!
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