Second and Third Order Models in SmartPLS (Higher Order Models)

#Higherordermodels, ,#PLShighermodels, #SecondordermodelsPLS
You may think it gets complex to adopt a higher order model for a PhD thesis. In SmartPLS, higher order model may be easy to work with when you have the supporting theory and conceptual models. This video as a continuation of video #19 provides you with a deeper look into higher, second or third order models focusing on two main approaches.
1. The repeated indicator approach that requires duplicating indicators in first, second and third order constructs and removing from each of them any deleted/dropped indicator.
2. The two stages approach which is less preferred than the repeated indicator approach (Becker et al. 2012). In this approach, we get the latent variable scores in the first stage as a data set to be used in the second stage to find the relationships among the higher order and other constructs.
Besides, this video presents a sample 3rd order model in PLS where three layers of constructs and their indicators are presented.

*********************************************************************
The video is split into the following chapters:

0:00 Introduction to Higher Order Models
0:47 Background and Theoretical information
10:40 Application to repeated indicator and second stage approach
20:00 3rd order sample model drawing and application
25:33 Wrap-up and Conclusion

*********************************************************************
SmartPLS video series:
**VID#20: SmartPLS higher order models assessment and reporting
   • SmartPLS higher order models assessme...  

**VID#19: Assessing and validating formative indicators in PLS
   • Assessing and validating formative in...  

**VID#18: How to write a literature review?    • HOW TO  HOW TO WRITE A LITERATURE REV...  

**VID# 17: What and How to report SEM Model Fit Analysis with SmartPLS
   • What and How to report SEM Model Fit ...  

**VID#16: Cross validation redundancy Predictive Relevance Qsquared calculation using SmartPLS:    • Cross validation redundancy Predictiv...  

**VID #15: Step 4: The f-square calculation (Effect Size) In structural model assessmenthttps://www.youtube.com/watch?v=eivx-...


**VID #14: Step 3: R-square in Structural model assessmenthttps://www.youtube.com/watch?v=SaVUC


#13: Step 2: Significance and Relevance of Structural Model Relationships in SmartPLShttps://www.youtube.com/watch?v=A5BLK


#12: Step 1 in SEM assessment: Collinearity issueshttps://www.youtube.com/watch?v=0Rezs


#11: Structural model assessment using SmartPLS    • #structural model assessment using (S...  ​​
**VID #10: Formative and Reflective models with SmartPLS   • Formative and Reflective Models SmartPLS  ​​


**VID #9: Common method bias: Statistical remedies    • The Common Method Variance CMV  ​​


**VID #8: The Common method variance (CMV)   • Assessing Univariate and Multivariate...  ​​


**VID #7: (Assessing uni-variate and multivariate data normality)    • Measurement model Discriminant Validi...  ​​


**VID #6: (Measurement model discriminant validity)    • Measurement model Discriminant Validi...  ​​ **VID #5:(Measurement Model Assessment with SmartPLS)    • Measurement Model Assessment with Sma...  


​​ **VID #4: (Data Collection Platforms and PLS Modeling)    • Data Collection Platforms & PLS Modeling  ​​


**VID #3: (Data Collection and Dealing with Missing Data)    • Data Collection and Dealing with Miss...  ​​


**VID #2: (An Intro to SmartPLS)    • An Intro to SmartPLS  ​​


**VID #1: (An introduction to Structural Equation Modeling)    • Intro to Structural Equation Modeling...  ​​

***************************************************************************

Connect with us:
facebook.com/smartresearchanddataanalytics
Instagram.com/smartresearchanddataanalytics



For mentoring services, contact me:
Abdul Ayoub, PhD, CPA, CMA, CPA
[email protected]
Whatsapp: +1232743664