Structural Equation Modeling (SEM) for Survey Research Using SmartPLS: A Hands-on Approach
The Instructor
Professor Ramayah Thurasamy is currently attached to the Operations Management section at the School of Management, Universiti Sains Malaysia. He is a trained Structural Equation Modeling (SEM) expert having been trained by Professor Joseph Hair (Kennesaw State University), Professor David Kenny (University of Connecticut), Professor Gregory Hancock (University of Maryland), Professor Everarda Cunningham (Queensland University of Technology) and Professor Christian Ringle (University of Hamburg). He has conducted Structural Equation Modeling (SEM) workshops in Malaysia, Australia, Indonesia, Thailand and India. He has also conducted workshops in UUM, UKM, UTM, UiTM, UMK, UMS, UNIMAS, USIM, UMT, UMP, UTHM, INTAN and Polytechnic Colleges in Malaysia.. Among the numerous papers at local and international conferences he has presented, he has won 5 “Best Papers” awards. His has more than 300 publications which have appeared in Journal of Environmental Management, Technovation, Journal of Business Ethuics, Journal of Business Economics and Management, Computers in Human Behavior, Resources, Conservation and Recycling, International Journal of Information Technology & Decision Making (IJITDM), International Journal of Information Management, Lecture Notes in Computer Science, Turkish Online Journal of Education Technology, Information Development, Journal of Project Management (JoPM), International Journal of Services and Operations Management (IJSOM), Engineering, Construction and Architectural Management (ECAM) and North American Journal of Psychology among others. He also serves on the editorial boards and program committee of several international journals and conferences of repute. His
full profile can be accessed from http://www.ramayah.com
Basic Information
Date: 24th and 25th February 2014
Day: Monday and Tuesday
Venue: Conference Room (Level 2),
School of Management (Building E43),
Universiti Sains Malaysia,
Pulau Pinang, Malaysia.
Bring: Your Laptop and Student ID (for students)
* Please install the SmartPLS software in your laptop before the workshop. It is free for the first three months. Go to:
http://www.smartpls.de/forum/index.php
Day: Monday and Tuesday
Venue: Conference Room (Level 2),
School of Management (Building E43),
Universiti Sains Malaysia,
Pulau Pinang, Malaysia.
Bring: Your Laptop and Student ID (for students)
* Please install the SmartPLS software in your laptop before the workshop. It is free for the first three months. Go to:
http://www.smartpls.de/forum/index.php
program_tentative.docx | |
File Size: | 16 kb |
File Type: | docx |
WHY PLS?
Partial least squares path modeling (PLS) or PLS structural equation modeling (PLS-SEM), is widely applied in business and social sciences in order to predict endogenous latent variables and to estimate as well as test relationships between latent variables (causal analysis). PLS is a robust technique characterized by distributional requirements and assumptions that are generally less restrictive compared to the covariance-based structural modeling techniques.
Overall, PLS can be an adequate alternative to CBSEM (covariance based SEM) if the problem has the following characteristics (Chin 1998b; Chin & Newsted 1999):
Overall, PLS can be an adequate alternative to CBSEM (covariance based SEM) if the problem has the following characteristics (Chin 1998b; Chin & Newsted 1999):
- PLS makes fewer demands regarding sample size than other methods.
- PLS does not require normal-distributed input data.
- The phenomenon to be investigated is relatively new and measurement models need to be newly developed,
- The structural equation model is complex with a large number of LVs and indicator variables,
- Relationships between the indicators and LVs have to be modeled in different modes (i.e., formative and reflective measurement models),
- The conditions relating to sample size, independence, or normal distribution are not met, and/or
- Prediction is more important than parameter estimation.
- PLS is better suited for theory development than for theory testing.
Workshop Details
This 2-day workshop will introduce the use of structural equation modeling (SEM is a family of statistical models that seek to explain the relationships among multiple variables) which is the most popular analysis software at the moment. This workshop will help postgraduate students/new researchers to do analysis using the SmartPLS software and assist them in presenting data professionally. This workshop will use practical hands on approach with real research data sets using research questions that can be answered with the data available. Some useful tips on how and where to get published will be given. For all participants, some knowledge of statistics, linear regression, and the characteristics of normal random variables and probability distributions will be helpful.
Main Aims:
1. To assist postgraduate students in producing appropriate analysis for their research theses
2. To assist new lecturers in producing research papers with higher level analysis.
Target Audience:
1. Lecturers and Postgraduate students in the Institutions of Higher learning.
2. Aspiring researchers who have intention to embark on empirical research.
1. To assist postgraduate students in producing appropriate analysis for their research theses
2. To assist new lecturers in producing research papers with higher level analysis.
Target Audience:
1. Lecturers and Postgraduate students in the Institutions of Higher learning.
2. Aspiring researchers who have intention to embark on empirical research.
OUtline of workshop
1. Basics of SEM
2. Formative vs Reflective Measurement
3. Second Order Factors
4. Measurement Model Evaluation
(a) Convergent validity – three approaches:
(c) Cross Loadings
5. Structural Model analysis & evaluation
6. Moderating Effect Analysis
7. Mediating Effect Analysis
2. Formative vs Reflective Measurement
3. Second Order Factors
4. Measurement Model Evaluation
(a) Convergent validity – three approaches:
- Factor loadings.
- Variance extracted.
- Reliability.
(c) Cross Loadings
5. Structural Model analysis & evaluation
6. Moderating Effect Analysis
7. Mediating Effect Analysis
What Do you Get?
- Invaluable knowledge and statistical skills.
- Three meals each day (lunch, 2 coffee/tea breaks).
- Mineral water to refresh you and sweets to keep you awake.
- Hard-copy workshop power-point slides organized in a file.
- A pen-drive with soft-copies of all slides, data sets, materials, and relevant articles.
- Certificate of Participation to those who have attended the workshop on both days.
Registration Details
Before registering, bank in the money to the account below. Once payment is done, either scan or take a photo or screenshot of the evidence of payment. Attach the file in the registration form before submitting. Please make sure the account number is correct before proceeding with payment. Please take note: personal cheque is not accepted.
Account Name: PhD Club School of Management (USM)
Account No.: 07104-29-00002097-0
Bank: Bank Simpanan Nasional (BSN)
Account No.: 07104-29-00002097-0
Bank: Bank Simpanan Nasional (BSN)
LIMITED Seats AVAILABLE !
Questions?
Telephone:
Yuvaraj (Registration)
012-468-3386
Yana (Registration)
019-426-5547
Jacy (Payment)
012-812-3150
E-Mail:
[email protected]
Telephone:
Yuvaraj (Registration)
012-468-3386
Yana (Registration)
019-426-5547
Jacy (Payment)
012-812-3150
E-Mail:
[email protected]