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مجموعه مدیریت
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'گردشگری و هتلداری
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تکنولوژی
Description of Workshop Activities
Participants will be encouraged to bring laptops and to download and install the (currently free) SmartPLS 3.3.3 software by referring to the download instruction “How to Install Smart PLS 3.3.3” in the attached file and sample data sets, prior to the workshop. Then, in the workshop, participants will be instructed on how to use SmartPLS in SEM modeling exercises.
Using SmartPLS for Statistical Research Analysis
SmartPLS is a software with graphical user interface for solving variance-based structural equation modeling (SEM) using the partial least squares (PLS) method. The software can be used in empirical research to analyse collected data from primary surveys and to test the hypothesized relationships.
SmartPLS is a very popular PLS path modeling tool. SmartPLS determines relationships between independent and dependent latent variables as linear composites, much like multiple regression multivariate techniques. Interestingly, this SEM tool is capable of simultaneously determining both the indirect as well as the direct path influences among all of the latent variables. PLS path modeling can incorporate both reflective (effect) and formative (cause) measurements models of latent variables. In essence, PLS path modeling is a robust SEM technique which is flexible in handling, a very user-friendly path modeling tool, with an intuitive visual interface.
Course Outline
The objectives of this course are to provide an in-depth methodological introduction into the PLS-SEM approach, the evaluation of measurement results, and complementary analytical techniques. Participants learn basic and intermediate techniques for conducting PLS path modeling using linear (SmartPLS).
Participants will receive: (1) 'hands on' exercises and data sets; (2) Slides and materials (during workshop); (3) relevant full-copy SEM research articles.
Participants will understand the following topics:
- Pilot Study
- Target Population and Sample Size Determination (G*Power)
- Missing Values
- Response Rate
- Respondents Profile
- Descriptive Statistics of Individual Question Items and Latent Constructs
- Common Method Bias
- Data Analysis
- Basics of SEM
- Model development and fundamentals of PLS-SEM
- Measurement Model of PLS
- Discriminant Validity-Fornell and Larcker Criterion
- Discriminant Validity-Heterotrait-Monotrait Ratio (HTMT)
- Assessment of Structural Model
- Multicollinearity
- Assessment of R-Square Value (R2) or Coefficient of Determination
- Blindfolding and Predictive Relevance (Q2)
- Assessing Effect Size (ƒ²)
- Assessment of Goodness of Fit
- Significance of Direct Effects-Path Coefficients
- Mediating Effect
- Mediating Effect of Serial Mediation Role
- Testing the Effects of Moderating Effect of Moderating Variable (interaction effects)
- Testing Moderating Effect in PLS-Multi-Group Analysis (MGA)
- Importance-Performance Matrix Analysis
More specifically:
- Introduction to SmartPLS, Latent variables, and SEM
- Why Use PLS Path Modeling?
- PLS vs. Covariance-Based SEM (CBSEM)
- Specifying PLS Path Models
- Formative vs. reflective measurement
- How to Get Started with SmartPLS
- Reliability and Validity
- ‘Hands-on’ Reliability and Validity Exercises
- Internal Consistency Reliability
- Indicator Reliability
- Convergent Validity
- Discriminant Validity
- Mediating and Moderating Effects
- What is Mediation?
- What is Moderation?
- Why Care about Mediating and Moderating Effects?
- ‘Hands-on’ Mediating and Moderating Exercises
Who Will Benefit?
This course has been designed for Master, Ph.D students and Lecturer who are engaged in, or interested in, current techniques perform SEM using the SMART-PLS path modeling approach in their own research applications. A basic knowledge of multivariate statistics and SEM techniques is helpful.
Equipment
All participants must bring a laptop to enable hands-on training using the SmartPLS program. Participants should arrive with SmartPLS software and SPSS already installed and activated.
Yours Sincerely,