smart pls procedure

8/10/2019 Smart Pls Procedure

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SMART-PLS PROCEDURE

1.

Look at loading - AVE cannot be less than 0.5 (check item)2. Step 1 - Calculate PLS Algorithm.

3. Step 2 - HTML - Report -Check/press Quality Criteria -[AVE cannot be less than 0.5].

Then,

1. Look at Composite Reliability cannot be less than 0.70

AVE > 0.5 ; CR >0.7 = Cut-off point.

Note: Anything loadings in the framework less than 0.5 must be deleted.

Items LoadingsItem1 0.924

Item2 0.864

Other Step:-

Go to Window Icon - select preference - click New

Click New on Display as a folder - then choose -Quality Criteria and click by:-

Select only: R-Square, AVE, Composite Reliability - Click Apply.

Next:-

The result of AVE, CR and R-Square will appear at the Path Model

Table 1:

Descriptive Table

AVE & Composite Reliability.

NEXT LESSON: LOOK AT THE LATENT VARIABLE SCORE

Step 1: to check for Outlier = -3 to +3 [Data should be within this value].

If outlier exist - remove the respondents/case/ one by one.


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Next Step: Outer loadings I is actually FA Shift to excel.

Table(Outer Loadings)- Convergence Validity and Reliability

Construct Item Loadings AVE CR

Commitment 0.652 0.918

1 0.74

2 0.77

3

0.83

4

0.81

5 0.87

6 0.81

Coop XXX XXX

1.

0.844

2.

0.834

3.

0.872

4.

0.834

5. 0.793

Trust XXX XXX

Note: If loading is more than 0.5, your AVE will be OK.

Item should be deleted if loading low.

AVE - Average item Extracted CR - Composite Reliability

NEXT LESSON: DISCRIMINANT VALIDATY

Check for latent variable correlation under Quality Criteria

[Note : Copy the table under excel].

Next Step - copy the AVE for each construct- then square root all the AVE..

Commitment Coorporation Coordination Satisfaction

Commitment squareroot AVE

Coorporation Latin variable

correlation

Sqroot AVE

Coordination Latin variable

correlation

Latin variable

correlation

Sqroot AVE

Satisfaction Latin variable

correlation

Latin variable

correlation

Latin variable

correlation

Squareroot AVE

Note; Diagonals represent the square root of the AVE while the off-diagonals represent correlation.

NEXT STEP:- structural model - RUN BOOTSTRAPPING

1 tail 2 tail

**1% 2.33 2.58

*5% 1.645 1.98


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When you run the bootstrapping the report will be bootstrapping - same goes to PLS Algoritm.

What to look?

Click - Path Coefficient (mean, STDEV, T-Value)

Copy the table into excel:

Take only:

1. Original sample (standardize Beta)

2.

Standard error

3.

T-test statistics Value.

Hypothesis Relationship Beta Standard Error T-Statistics Decision

H1 Commitment -

cooperation

0.575 0.04 12.832 Supported.

H2 Commitment-

coordination

0.504 0.058 8.681* Supported

H3 Coordination -

satisfaction

0.013 0.063 0.207 Not supported

Note: ** p


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Goodness of Fit = 0.52968.

smart pls procedure

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