Hello Sir, Factor analysis is made from pls algorithm by choosing factor option. Path model is tested from bootstraping algorithm by choosing path option. But in pls algorithm path option or in bootstraping algorithm factor option is open. There is no block to choose them in program. Is there any situation need to choose path in pls algorthim or factor in boothstrapin? Why are open and choosable by program if they are not used?
Do you have the link to the studies where you can refer to for the values of the Construct Reliability and Validity Matrix (>0.70 & > AVE > 0.50). Thank you in advance also for the clear video!
I have a question: in the Fornell-Larcker Criterion, what if there is a correlation value that is greater than the square root value of AVE? thank you.
hello sir, what if there are some values of Cronbach's alpha and composite reliability (rho_a) below 0.7 but composite reliability (rho_c) and AVE above 0.7. Are construct validity and reliability established?
Sir, whenever I start the calculation for my model I got the error of "NoClassDefFounderError:could not initializclass.com.smartpls.platform.api.matrix.LeixTsuulGCRNam". could you please tell me how to fix it.
Hello! Thanks for the great video! Is there a reason you use factor instead of path as the weighting scheme for CCA? I am just unsure cause Hair et al. (a primer on partial least squares structural equation modeling) use path to report statistics like factor loadings or AVE. Maybe you could give a quick statement if both is correct.
Hello Researcher, I have recently used Smart Pls with investigating the path model. I have faced a problem, which is that the value of reliability of all variables (included items) excepting one latent variable among six variables is above the threshold . Then, when I applied on bootstrapping , it shows my p value of three variables among six variables is above .05% (which means not supported) , but the reliability of six variables is above threshold. Besides, the all items have good factor loading value except some items which is removed then tried again to reach the p value below .05, but I couldn't. If anyone could help me to solve or give some valuable guidelines on this problem, I would be happy please. I am looking forward to hearing from you asap reply please, as it is my thesis analysis.
@@RESEARCHHUB what justification we need to give as the gap was specially using the 44 item scale of personality, and if i drop should it fullfil the object and kindly suggest some paper that say the dropping of item. Thanks
Thank you very much Dr Munim!
Your explanations are so clear and way helpful
excellent description. Learnt with the dataset
Very helpful, thanks 🙏🏻🙏🏻
Very helpful, thankyou.
very informative thank you so much
Hello Sir, Factor analysis is made from pls algorithm by choosing factor option. Path model is tested from bootstraping algorithm by choosing path option. But in pls algorithm path option or in bootstraping algorithm factor option is open. There is no block to choose them in program. Is there any situation need to choose path in pls algorthim or factor in boothstrapin? Why are open and choosable by program if they are not used?
Do you have the link to the studies where you can refer to for the values of the Construct Reliability and Validity Matrix (>0.70 & > AVE > 0.50). Thank you in advance also for the clear video!
See doi.org/10.1108/EBR-11-2018-0203.
You will also find relevant references in the method section of doi.org/10.1016/j.tbs.2020.03.003
Thank you so much Sir
I have a question: in the Fornell-Larcker Criterion, what if there is a correlation value that is greater than the square root value of AVE? thank you.
If I develop a new scale do I have to perform EFA in spss and come back to smartPLS to perform CCA?
Hello sir. What to do for reliability when I have a higher order reflective construct. (reflective to reflective)
Please see th-cam.com/video/1Vym0flo3fo/w-d-xo.html
hello sir, what if there are some values of Cronbach's alpha and composite reliability (rho_a) below 0.7 but composite reliability (rho_c) and AVE above 0.7. Are construct validity and reliability established?
how to confirm the factors of single construct on PLS ( when there is no model only one construct- shall we create a dummy circle and confirm)
Sir, whenever I start the calculation for my model I got the error of "NoClassDefFounderError:could not initializclass.com.smartpls.platform.api.matrix.LeixTsuulGCRNam". could you please tell me how to fix it.
is you data properly loaded? Please check.
Hello! Thanks for the great video! Is there a reason you use factor instead of path as the weighting scheme for CCA? I am just unsure cause Hair et al. (a primer on partial least squares structural equation modeling) use path to report statistics like factor loadings or AVE. Maybe you could give a quick statement if both is correct.
Hello Researcher,
I have recently used Smart Pls with investigating the path model. I have faced a problem, which is that the value of reliability of all variables (included items) excepting one latent variable among six variables is above the threshold . Then, when I applied on bootstrapping , it shows my p value of three variables among six variables is above .05% (which means not supported) , but the reliability of six variables is above threshold. Besides, the all items have good factor loading value except some items which is removed then tried again to reach the p value below .05, but I couldn't. If anyone could help me to solve or give some valuable guidelines on this problem, I would be happy please.
I am looking forward to hearing from you asap reply please, as it is my thesis analysis.
Thankyou sir 👍🏻
Would anyone plz tell how to fix the issue of negative outer loadings which I got after reverse coding the items in my questionnaire.
You can drop those items
@@RESEARCHHUB what justification we need to give as the gap was specially using the 44 item scale of personality, and if i drop should it fullfil the object and kindly suggest some paper that say the dropping of item.
Thanks
@@sethkanu395 see for example doi.org/10.1016/j.jbusres.2019.06.013