SmartPLS 2 Data analysis and conclusion
Posted: Tue Jun 18, 2019 3:54 am
Dear Sir
I have run my data via SmartPLS 2 and needs some clarification from you.
There are 8 constructs independent (variables) with items and 1 constructs dependent (variables) with items as follows:
Independent
Construct 1 (5 items) AVE 0.8888, R Square = 0
Construct 2 (6 items) AVE 0.4963, R Square = 0
Construct 3 (5 items) AVE 0.7888, R Square = 0
Construct 4 (5 items) AVE 0.7989, R Square = 0
Construct 5 (5 items) AVE 0.7816, R Square = 0
Construct 6 (5 items) AVE 0.7666, R Square = 0
Construct 7 (6 items) AVE 0.6677, R Square = 0
Construct 8 (5 items) AVE 0.8080, R Square = 0
Dependent
Construct 9 (4 items) AVE 0.0000, R Square = 0.7099
1. The program does not provide Goodness of the Fit (GOF)? How to calculate it manually. Please assist me. I will share my data with you later.
2. I have to present my data with consideration (based on SEM ) to add a few more results such as
a. GFI (Good Fit Index) should ve > 0.90 (Note: is this GFI same function like GoF?
b. CFI should be > 0.90
c. RMSEA should [should be 0.05 - 0.08]
d. p [should be 0.01 - 0.05]
Is there any data from SmartPLS that can be used or comparable with or we need to calculate the value for a, b, c and d? Really need to know on this situation.
3. For the Pearson correlation, "r" value can be 0, +ve 1 value or -ve 1 value. From my understanding, the value just shown the direction of data but not the strength of the association. When we got -ve value, what is the best assumption we can made. I got the result as follows:
a. Result under Total effect:
Sample mean (M) = - 0.014750 , still under 0 value and below -ve 1. Can we say that the construct is with good correlation with other variables however the .......I need your help.
b. Other result all shown +ve value under 0 value and below +ve 1. Can we confirm that these variables have good association.
Thank you. Hope to get your response so I can continue my results preparation.
Best regards
Azmi
azmi03aa@gmail.com
Thank you very much.
I have run my data via SmartPLS 2 and needs some clarification from you.
There are 8 constructs independent (variables) with items and 1 constructs dependent (variables) with items as follows:
Independent
Construct 1 (5 items) AVE 0.8888, R Square = 0
Construct 2 (6 items) AVE 0.4963, R Square = 0
Construct 3 (5 items) AVE 0.7888, R Square = 0
Construct 4 (5 items) AVE 0.7989, R Square = 0
Construct 5 (5 items) AVE 0.7816, R Square = 0
Construct 6 (5 items) AVE 0.7666, R Square = 0
Construct 7 (6 items) AVE 0.6677, R Square = 0
Construct 8 (5 items) AVE 0.8080, R Square = 0
Dependent
Construct 9 (4 items) AVE 0.0000, R Square = 0.7099
1. The program does not provide Goodness of the Fit (GOF)? How to calculate it manually. Please assist me. I will share my data with you later.
2. I have to present my data with consideration (based on SEM ) to add a few more results such as
a. GFI (Good Fit Index) should ve > 0.90 (Note: is this GFI same function like GoF?
b. CFI should be > 0.90
c. RMSEA should [should be 0.05 - 0.08]
d. p [should be 0.01 - 0.05]
Is there any data from SmartPLS that can be used or comparable with or we need to calculate the value for a, b, c and d? Really need to know on this situation.
3. For the Pearson correlation, "r" value can be 0, +ve 1 value or -ve 1 value. From my understanding, the value just shown the direction of data but not the strength of the association. When we got -ve value, what is the best assumption we can made. I got the result as follows:
a. Result under Total effect:
Sample mean (M) = - 0.014750 , still under 0 value and below -ve 1. Can we say that the construct is with good correlation with other variables however the .......I need your help.
b. Other result all shown +ve value under 0 value and below +ve 1. Can we confirm that these variables have good association.
Thank you. Hope to get your response so I can continue my results preparation.
Best regards
Azmi
azmi03aa@gmail.com
Thank you very much.