Thanks. I am glad you liked it.The video is not using SmartPLS but can help in analyzing the results and their interpretation ua-cam.com/video/jEWSrOBwObk/v-deo.html
Dear Prof. Can we use smartpls to test both hypothesis such as relationship and influencing ( Ex, There is a relationship between X and Y / There is a impact on X from Y)
Yes you can. But in Survey Research Relationship or Impact are taken as synonyms. Where the intention is to assess the significance of path coefficient.
@@researchwithfawad Dear Prof, It means path coefficients provide the strength of the impact or relationships (relevant to both types of hypothesis ) and t value and p value provide the significance states.
I am on phd thesis analysis and your vdos are blessing.. prof plz do a vdo on sequential mediation.. im strugling with it
Thanks. I am glad you liked it.The video is not using SmartPLS but can help in analyzing the results and their interpretation
ua-cam.com/video/jEWSrOBwObk/v-deo.html
sir can you share the ppt through which you make us clear all the concept
Thanks for watching. I hope to upload PPTs soon on my website. www.researchwithfawad.com
Thanks for your applicable education, can I have your original Questionnaire that used for this data?
Thanks for your interest. Please email me on kh.fawad83@gmail.com
Great explinarion
Glad you think so!
Dear Prof. Can we use smartpls to test both hypothesis such as relationship and influencing ( Ex, There is a relationship between X and Y / There is a impact on X from Y)
Yes you can. But in Survey Research Relationship or Impact are taken as synonyms. Where the intention is to assess the significance of path coefficient.
@@researchwithfawad Dear Prof, It means path coefficients provide the strength of the impact or relationships (relevant to both types of hypothesis ) and t value and p value provide the significance states.
Yes
Thank for such a beautiful presentation. Just a quick question, is T value the same as T-statistics?
Pleasure. Yes both are same.
9:27, no Prof, thank you significantly very much
however I can't thank you enough.
Thanks. I am glad you liked it.