Hi All.
I have ongoing research and it is about to finish. I am doing data analysis now and i want to get Internal Consistency Factor Loading Analysis to check item reliabilities.
i have collected data from (Report>PLS>calculation result>outer loading) to get Internal Consistency Factor for each element (composite reliability value).
and from (Report>PLS>calculation result>Outer weight) to get the weight for each elements.
Kindly, confirm me if i am on the right track or no!
Regards,
Internal Consistency Factor Loading (item reliabilities) ?

 PLS Senior User
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 Diogenes
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Hi Hussain,
The short answer = yes.
The long answer =
If you are using reflective indicators:
1) Convergent validity:
Outer loading = PLS / Calculation results / Outer loadings
AVE = PLS / Quality criteria / Overview
2) Discriminant validity:
Item level > Crossloading = PLS / Quality criteria / crossloading
Construct level > (square root of AVE > LV correlations) >
 compute square root by hand using the AVE from Overview
 put these values in the diagonal of LV correlations matrix
3) Reliability:
Composite reliability and alpha’s Cronbach > PLS / Quality criteria / Overview
Best regards,
Bido
The short answer = yes.
The long answer =
If you are using reflective indicators:
1) Convergent validity:
Outer loading = PLS / Calculation results / Outer loadings
AVE = PLS / Quality criteria / Overview
2) Discriminant validity:
Item level > Crossloading = PLS / Quality criteria / crossloading
Construct level > (square root of AVE > LV correlations) >
 compute square root by hand using the AVE from Overview
 put these values in the diagonal of LV correlations matrix
3) Reliability:
Composite reliability and alpha’s Cronbach > PLS / Quality criteria / Overview
Best regards,
Bido

 PLS Senior User
 Posts: 21
 Joined: Thu Mar 21, 2013 7:37 pm
 Real name and title:
Thanks a lot for the usual support!
to test "Research Hypotheses" i need to check path coefficient tvalues (bootstrapping/path coefficient (Mean,STDEV,tvalues)) if it is more than 1.96 then i assume that the path coefficient significantly different from 0 at a significance level of 5 percent (alpha = 0.05; twosided test) .
and Research Hypotheses supported!
Don't I?
what about R2 and how can i get R2 for the full model?
I am trying to do the assessment of the structural model. I know that R2 should be more than 2 but it is for what?
there are two more steps :
Report / PLS / Calculation results / Path coefficients
 The same results that were showed in the model
but what does it mean?
Report / PLS / Quality criteria / Total effects
 you could assess the direct, indirect, and total effects.
also but what does it mean?
Regards,
to test "Research Hypotheses" i need to check path coefficient tvalues (bootstrapping/path coefficient (Mean,STDEV,tvalues)) if it is more than 1.96 then i assume that the path coefficient significantly different from 0 at a significance level of 5 percent (alpha = 0.05; twosided test) .
and Research Hypotheses supported!
Don't I?
what about R2 and how can i get R2 for the full model?
I am trying to do the assessment of the structural model. I know that R2 should be more than 2 but it is for what?
there are two more steps :
Report / PLS / Calculation results / Path coefficients
 The same results that were showed in the model
but what does it mean?
Report / PLS / Quality criteria / Total effects
 you could assess the direct, indirect, and total effects.
also but what does it mean?
Regards,
 Diogenes
 PLS SuperExpert
 Posts: 905
 Joined: Sat Oct 15, 2005 5:13 pm
 Real name and title:
 Location: São Paulo  BRAZIL
 Contact:
Hi Hussain,
1) Yes, t > 1.96, path is significant, hypothesis supported.
2) Each endogenous LV has a R²
Endogenous are LV that received structural arrows.
You could think in regression terms.
Y = b1*x1 + b2*x2 + b3*x3
Here, we will have a R² for Y regression.
3) Yes path coefficients from report = model (image)
4) Direct, indirect and total effects should be assessed if your model has indirect effects.
Example:
a) X1 –>0.4> X2 >0.3 X3
b) X1 > 0.2 X3
From (a): X1 has a indirect effect on X3 = 0.4 * 0.3 = 0.12
From (b): X1 has a direct effect on X3 = 0.2
Indirect + direct = total effect = 0.32
SmartPLS shows direct effect in the model and report as path coefficients, and total effect in the report, if you want to compute indirect effect, just subtract one of other.
Best regards,
Bido
1) Yes, t > 1.96, path is significant, hypothesis supported.
2) Each endogenous LV has a R²
Endogenous are LV that received structural arrows.
You could think in regression terms.
Y = b1*x1 + b2*x2 + b3*x3
Here, we will have a R² for Y regression.
3) Yes path coefficients from report = model (image)
4) Direct, indirect and total effects should be assessed if your model has indirect effects.
Example:
a) X1 –>0.4> X2 >0.3 X3
b) X1 > 0.2 X3
From (a): X1 has a indirect effect on X3 = 0.4 * 0.3 = 0.12
From (b): X1 has a direct effect on X3 = 0.2
Indirect + direct = total effect = 0.32
SmartPLS shows direct effect in the model and report as path coefficients, and total effect in the report, if you want to compute indirect effect, just subtract one of other.
Best regards,
Bido

 PLS Senior User
 Posts: 21
 Joined: Thu Mar 21, 2013 7:37 pm
 Real name and title: