Ziaul H. Munim, PhD
Course Instructor
Dr Munim is Associate Professor of Maritime Logistics at the University of South-Eastern Norway (USN). He is a Co-Editor of The Maritime Economist and Senior Editor of the International Journal of Emerging Markets and European Journal of International Management. He founded the educational platform Research HUB.
Dr Munim pursued PhD in International Management at the University of Agder, Norway (concentration in Maritime Economics and Logistics), and MSc in Supply Chain Management at the Vienna University of Economics and Business, Austria (specializations in Transport and Logistics, and Transport Geography Modeling). Apart from that, he holds a Bachelor in Business Administration degree (specialization in Finance) from the Eastern University, Bangladesh. Furthermore, he completed two modules of the Global Challenges in Transport programme at the University of Oxford. He has extensive training in 'Structural Equation Modelling' (SEM) from the University of Oslo and the University of Cambridge. Earlier in career, he also worked in the industry for 1.5 years as Credit Risk Analyst at United Finance Company Ltd.
This SEM Course Includes
- 29 on-demand lectures covering about 03 hours.
- 6 set of MCQ tests for assessment.
- Lecture slides.
- Example R-scripts included.
- Sample datasets for analysis practice.
- Sample journal articles published using practice data.
- 45 minutes ZOOM consultation at the end (upon request).
- Lifetime access to course resources and updates.
Example Curriculum
- 1.1 What is Structural Equation Modelling and when to use it
- 1.2 SEM History and difference between CB and PLS SEM
- 1.3 A simple explanation of SEM formation (including Reflective and Formative constructs
- 1.4 Model identification issues
- 1.5 Model estimators (ML,MLR,WLS,DWLS, PLS)
- 1.6 Graphical notations in SEM
- 1.7 Instructor's Studies Published using SEM
- SEM Quiz 1
- 2.1 How to install R Console and R Studio
- 2.2 Variable specification and data operators
- 2.3 Data Types in R
- 2.4 Common functions in R
- 2.5 Basic Plots in R
- 2.6 Descriptive Statistics and Frequency Table in R
- 2.7 Correlation tests in R
- 2.8 Basic Statistical Tests in R (T-tests, ANOVA, OLS Regression)
- SEM Quiz 2
- 3.1 Step-by-step SEM flowchart
- 3.2 Data issues to consider for SEM
- 3.3 Data preparation for SEM
- 3.4 Loading data files in R environment
- 3.5 Loading required R packages for SEM
- 3.6 Descriptive statistics, multivariate normality and correlations of measurement items
- 3.7 Non-response bias check through Wave Test
- SEM Quiz 3
