********************************
* General SEM analysis results *
********************************

General project information
---------------------------

Version of WarpPLS used: 8.0
License holder: Trial license (3 months)
Type of license: Trial license (3 months)
License start date: 22-Nov-2024
License end date: 20-Feb-2025
Project path (directory): C:\Users\HP\OneDrive\Documents\
Project file: 
Last changed: 17-Dec-2024 20:12:45
Last saved: Never (needs to be saved)
Raw data path (directory): D:\
Raw data file: 

Model fit and quality indices
-----------------------------

Average path coefficient (APC)=0.332, P<0.001
Average R-squared (ARS)=0.418, P<0.001
Average adjusted R-squared (AARS)=0.411, P<0.001
Average block VIF (AVIF)=1.623, acceptable if <= 5, ideally <= 3.3
Average full collinearity VIF (AFVIF)=1.663, acceptable if <= 5, ideally <= 3.3
Tenenhaus GoF (GoF)=0.545, small >= 0.1, medium >= 0.25, large >= 0.36
Simpson's paradox ratio (SPR)=1.000, acceptable if >= 0.7, ideally = 1
R-squared contribution ratio (RSCR)=1.000, acceptable if >= 0.9, ideally = 1
Statistical suppression ratio (SSR)=1.000, acceptable if >= 0.7
Nonlinear bivariate causality direction ratio (NLBCDR)=0.750, acceptable if >= 0.7


General model elements
----------------------

Missing data imputation algorithm: Arithmetic Mean Imputation
Outer model analysis algorithm: PLS Regression
Default inner model analysis algorithm: Warp3
Multiple inner model analysis algorithms used? No
Resampling method used in the analysis: Stable3
Number of data resamples used: 100
Number of cases (rows) in model data: 125
Number of latent variables in model: 4
Number of indicators used in model: 10
Number of iterations to obtain estimates: 37
Range restriction variable type: None
Range restriction variable: None
Range restriction variable min value: 0.000
Range restriction variable max value: 0.000
Only ranked data used in analysis? No


**********************************
* Path coefficients and P values *
**********************************

Path coefficients
-----------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.096		0.790	-0.119
K.Inves	0.592			-0.178
K.Pdana	0.216	


P values
--------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.137		<0.001	0.086
K.Inves	<0.001			0.020
K.Pdana	0.006	



*****************************************
* Standard errors for path coefficients *
*****************************************

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.087		0.074	0.087
K.Inves	0.077			0.086
K.Pdana	0.085	



**************************************
* Effect sizes for path coefficients *
**************************************

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.070		0.696	0.029
K.Inves	0.366			0.047
K.Pdana	0.047	



****************************************
* Combined loadings and cross-loadings *
****************************************

 	K.Lanju	NP	K.Inves	K.Pdana	Type (a	SE	P value
X1	1.000	-0.000	0.000	0.000	Reflect	0.070	<0.001
Y1.1	-0.009	0.974	0.092	0.075	Reflect	0.071	<0.001
Y1.2	0.041	0.967	0.103	0.021	Reflect	0.071	<0.001
Y1.3	-0.087	0.353	-0.535	-0.265	Reflect	0.082	<0.001
X2.1	-0.133	-0.414	0.361	0.048	Reflect	0.082	<0.001
X2.2	0.026	0.860	0.803	0.062	Reflect	0.074	<0.001
X2.3	-0.040	0.808	-0.671	0.100	Reflect	0.076	<0.001
X3.1	0.057	-0.029	-0.061	0.925	Reflect	0.071	<0.001
X3.2	-0.010	0.184	-0.213	0.888	Reflect	0.072	<0.001
X3.3	-0.056	-0.172	0.309	0.795	Reflect	0.074	<0.001

Notes: Loadings are unrotated and cross-loadings are oblique-rotated. SEs and P values are for loadings. P values < 0.05 are desirable for reflective indicators.


***************************************************
* Normalized combined loadings and cross-loadings *
***************************************************

 	K.Lanju	NP	K.Inves	K.Pdana
X1	1.000	-0.000	0.000	0.000
Y1.1	-0.010	0.776	0.098	0.081
Y1.2	0.046	0.763	0.114	0.023
Y1.3	-0.095	0.809	-0.584	-0.290
X2.1	-0.164	-0.508	0.979	0.059
X2.2	0.030	0.976	0.617	0.070
X2.3	-0.027	0.543	-0.936	0.067
X3.1	0.063	-0.032	-0.067	0.927
X3.2	-0.010	0.199	-0.230	0.942
X3.3	-0.062	-0.189	0.341	0.980

Note: Loadings are unrotated and cross-loadings are oblique-rotated, both after separate Kaiser normalizations.


***************************************
* Pattern loadings and cross-loadings *
***************************************

 	K.Lanju	NP	K.Inves	K.Pdana
X1	1.000	-0.000	0.000	0.000
Y1.1	-0.009	0.926	0.092	0.075
Y1.2	0.041	0.893	0.103	0.021
Y1.3	-0.087	0.688	-0.535	-0.265
X2.1	-0.133	-0.414	0.688	0.048
X2.2	0.026	0.860	0.178	0.062
X2.3	-0.040	0.808	-1.243	0.100
X3.1	0.057	-0.029	-0.061	0.898
X3.2	-0.010	0.184	-0.213	0.882
X3.3	-0.056	-0.172	0.309	0.833

Note: Loadings and cross-loadings are oblique-rotated.


**************************************************
* Normalized pattern loadings and cross-loadings *
**************************************************

 	K.Lanju	NP	K.Inves	K.Pdana
X1	1.000	-0.000	0.000	0.000
Y1.1	-0.010	0.992	0.098	0.081
Y1.2	0.046	0.992	0.114	0.023
Y1.3	-0.095	0.752	-0.584	-0.290
X2.1	-0.164	-0.508	0.844	0.059
X2.2	0.030	0.976	0.202	0.070
X2.3	-0.027	0.543	-0.836	0.067
X3.1	0.063	-0.032	-0.067	0.995
X3.2	-0.010	0.199	-0.230	0.953
X3.3	-0.062	-0.189	0.341	0.919

Note: Loadings and cross-loadings shown are after oblique rotation and Kaiser normalization.


*****************************************
* Structure loadings and cross-loadings *
*****************************************

 	K.Lanju	NP	K.Inves	K.Pdana
X1	1.000	0.231	0.184	0.014
Y1.1	0.217	0.974	0.742	-0.167
Y1.2	0.253	0.967	0.750	-0.217
Y1.3	0.019	0.353	0.113	-0.230
X2.1	-0.043	0.050	0.361	-0.037
X2.2	0.256	0.974	0.803	-0.184
X2.3	-0.054	-0.160	-0.671	0.189
X3.1	0.045	-0.257	-0.267	0.925
X3.2	0.005	-0.181	-0.261	0.888
X3.3	-0.017	-0.147	-0.069	0.795

Note: Loadings and cross-loadings are unrotated.


****************************************************
* Normalized structure loadings and cross-loadings *
****************************************************

 	K.Lanju	NP	K.Inves	K.Pdana
X1	0.959	0.221	0.177	0.014
Y1.1	0.173	0.776	0.592	-0.133
Y1.2	0.200	0.763	0.591	-0.171
Y1.3	0.044	0.809	0.259	-0.526
X2.1	-0.116	0.135	0.979	-0.099
X2.2	0.196	0.749	0.617	-0.141
X2.3	-0.075	-0.224	-0.936	0.263
X3.1	0.045	-0.257	-0.268	0.927
X3.2	0.005	-0.192	-0.277	0.942
X3.3	-0.021	-0.181	-0.085	0.980

Note: Loadings and cross-loadings shown are unrotated and after Kaiser normalization.


*********************
* Indicator weights *
*********************

 	K.Lanju	NP	K.Inves	K.Pdana	Type (a	SE	P value	VIF	WLS	ES
X1	1.000	0.000	0.000	0.000	Reflect	0.070	<0.001	0.000	1	1.000
Y1.1	0.000	0.485	0.000	0.000	Reflect	0.079	<0.001	9.021	1	0.472
Y1.2	0.000	0.481	0.000	0.000	Reflect	0.080	<0.001	8.893	1	0.466
Y1.3	0.000	0.176	0.000	0.000	Reflect	0.086	0.021	1.049	1	0.062
X2.1	0.000	0.000	0.296	0.000	Reflect	0.083	<0.001	1.019	1	0.107
X2.2	0.000	0.000	0.656	0.000	Reflect	0.076	<0.001	1.062	1	0.527
X2.3	0.000	0.000	-0.546	0.000	Reflect	0.078	<0.001	1.046	1	0.367
X3.1	0.000	0.000	0.000	0.407	Reflect	0.081	<0.001	3.088	1	0.376
X3.2	0.000	0.000	0.000	0.390	Reflect	0.081	<0.001	2.634	1	0.346
X3.3	0.000	0.000	0.000	0.349	Reflect	0.082	<0.001	1.590	1	0.277

Notes: P values < 0.05 and VIFs < 2.5 are desirable for formative indicators; VIF = indicator variance inflation factor;
  WLS = indicator weight-loading sign (-1 = Simpson's paradox in l.v.); ES = indicator effect size.


********************************
* Latent variable coefficients *
********************************

R-squared coefficients
----------------------

K.Lanju	NP	K.Inves	K.Pdana
 	0.795	0.414	0.047

Adjusted R-squared coefficients
-------------------------------

K.Lanju	NP	K.Inves	K.Pdana
 	0.790	0.404	0.039

Composite reliability coefficients
----------------------------------

K.Lanju	NP	K.Inves	K.Pdana
1.000	0.841	0.121	0.904

Cronbach's alpha coefficients
---------------------------

K.Lanju	NP	K.Inves	K.Pdana
1.000	0.699	-0.049	0.839

Average variances extracted
---------------------------

K.Lanju	NP	K.Inves	K.Pdana
1.000	0.670	0.409	0.759

Full collinearity VIFs
----------------------

K.Lanju	NP	K.Inves	K.Pdana
1.062	2.280	2.241	1.071

Q-squared coefficients
----------------------

K.Lanju	NP	K.Inves	K.Pdana
 	0.809	0.373	0.046

Minimum and maximum values
--------------------------

K.Lanju	NP	K.Inves	K.Pdana
-1.180	-0.947	-2.955	-1.560
2.827	6.880	5.700	3.221

Medians (top) and modes (bottom)
--------------------------------

K.Lanju	NP	K.Inves	K.Pdana
-0.036	-0.274	-0.068	-0.176
-1.180	-0.947	-2.955	-1.560

Skewness (top) and exc. kurtosis (bottom) coefficients
------------------------------------------------------

K.Lanju	NP	K.Inves	K.Pdana
0.520	4.983	2.364	0.983
-0.612	29.171	13.406	0.773

Tests of unimodality: Rohatgi-Sz kely (top) and Klaassen-Mokveld-van Es (bottom)
--------------------------------------------------------------------------------

K.Lanju	NP	K.Inves	K.Pdana
Yes	Yes	Yes	Yes
Yes	Yes	Yes	Yes

Tests of normality: Jarque Bera (top) and robust Jarque Bera (bottom)
---------------------------------------------------------------------

K.Lanju	NP	K.Inves	K.Pdana
No	No	No	No
No	No	No	No


***************************************************
* Correlations among latent variables and errors *
***************************************************

Correlations among l.vs. with sq. rts. of AVEs
----------------------------------------------

 	K.Lanju	NP	K.Inves	K.Pdana
K.Lanju	1.000	0.231	0.184	0.014
NP	0.231	0.818	0.741	-0.226
K.Inves	0.184	0.741	0.639	-0.235
K.Pdana	0.014	-0.226	-0.235	0.871

Note: Square roots of average variances extracted (AVEs) shown on diagonal.


P values for correlations
-------------------------

 	K.Lanju	NP	K.Inves	K.Pdana
K.Lanju	1.000	0.010	0.040	0.875
NP	0.010	1.000	<0.001	0.011
K.Inves	0.040	<0.001	1.000	0.008
K.Pdana	0.875	0.011	0.008	1.000

Correlations among l.v. error terms with VIFs
---------------------------------------------

 	(e)NP	(e)K.In	(e)K.Pd
(e)NP	1.001	0.008	0.027
(e)K.In	0.008	1.001	0.021
(e)K.Pd	0.027	0.021	1.001

Notes: Variance inflation factors (VIFs) shown on diagonal. Error terms included (a.k.a. residuals) are for endogenous l.vs.


P values for correlations
-------------------------

 	(e)NP	(e)K.In	(e)K.Pd
(e)NP	1.000	0.926	0.763
(e)K.In	0.926	1.000	0.812
(e)K.Pd	0.763	0.812	1.000


************************************
* Block variance inflation factors *
************************************

 	K.Lanju	NP	K.Inves	K.Pdana

NP	2.517		2.530	1.022
K.Inves	1.022			1.022



Note: These VIFs are for the latent variables on each column (predictors), with reference to the latent variables on each row (criteria).


******************************
* Indirect and total effects *
******************************

Indirect effects for paths with 2 segments
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.442			-0.141
K.Inves	-0.039	



Number of paths with 2 segments
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	2			1
K.Inves	1	



P values of indirect effects for paths with 2 segments
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	<0.001			0.011
K.Inves	0.270	



Standard errors of indirect effects for paths with 2 segments
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.080			0.061
K.Inves	0.063	



Effect sizes of indirect effects for paths with 2 segments
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.320			0.035
K.Inves	0.024	




Indirect effects for paths with 3 segments
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	-0.030	




Number of paths with 3 segments
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	1	




P values of indirect effects for paths with 3 segments
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.277	




Standard errors of indirect effects for paths with 3 segments
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.051	




Effect sizes of indirect effects for paths with 3 segments
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.022	





Sums of indirect effects
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.411			-0.141
K.Inves	-0.039	



Number of paths for indirect effects
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	3			1
K.Inves	1	



P values for sums of indirect effects
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	<0.001			0.011
K.Inves	0.270	



Standard errors for sums of indirect effects
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.081			0.061
K.Inves	0.063	



Effect sizes for sums of indirect effects
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.298			0.035
K.Inves	0.024	




Total effects
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.507		0.790	-0.260
K.Inves	0.554			-0.178
K.Pdana	0.216	


Number of paths for total effects
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	4		1	2
K.Inves	2			1
K.Pdana	1	


P values for total effects
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	<0.001		<0.001	0.001
K.Inves	<0.001			0.020
K.Pdana	0.006	


Standard errors for total effects
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.079		0.074	0.084
K.Inves	0.078			0.086
K.Pdana	0.085	


Effect sizes for total effects
------------------------------
 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.367		0.696	0.064
K.Inves	0.342			0.047
K.Pdana	0.047	



*************************************
* Causality assessment coefficients *
*************************************

Path-correlation signs
----------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	1	 	1	1
K.Inves	1	 	 	1
K.Pdana	1	


Notes: path-correlation signs; negative sign (i.e., -1) = Simpson's paradox.

R-squared contributions
-----------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.070	 	0.696	0.029
K.Inves	0.366	 	 	0.047
K.Pdana	0.047	


Notes: R-squared contributions of predictor lat. vars.; columns = predictor lat. vars.; rows = criteria lat. vars.; negative sign = reduction in R-squared.

Path-correlation ratios
-----------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.133	 	0.896	0.487
K.Inves	0.957	 	 	0.670
K.Pdana	1.000	


Notes: absolute path-correlation ratios; ratio > 1 indicates statistical suppression; 1 < ratio <= 1.3: weak suppression; 1.3 < ratio <= 1.7: medium; 1.7 < ratio: strong.

Path-correlation differences
----------------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.628	 	0.092	0.126
K.Inves	0.026	 	 	0.088
K.Pdana	0.000	


Note: absolute path-correlation differences.

P values for path-correlation differences
-----------------------------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	<0.001	 	0.148	0.075
K.Inves	0.384	 	 	0.159
K.Pdana	1.000	


Note: P values for absolute path-correlation differences.

Warp2 bivariate causal direction ratios
---------------------------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.637	 	0.853	1.473
K.Inves	0.860	 	 	1.021
K.Pdana	4.400	


Notes: Warp2 bivariate causal direction ratios; ratio > 1 supports reversed link; 1 < ratio <= 1.3: weak support; 1.3 < ratio <= 1.7: medium; 1.7 < ratio: strong.

Warp2 bivariate causal direction differences
--------------------------------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.195	 	0.129	0.110
K.Inves	0.056	 	 	0.005
K.Pdana	0.052	


Note: absolute Warp2 bivariate causal direction differences.

P values for Warp2 bivariate causal direction differences
---------------------------------------------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.012	 	0.069	0.105
K.Inves	0.264	 	 	0.477
K.Pdana	0.280	


Note: P values for absolute Warp2 bivariate causal direction differences.

Warp3 bivariate causal direction ratios
---------------------------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.481	 	0.853	1.884
K.Inves	0.553	 	 	1.052
K.Pdana	0.329	


Notes: Warp3 bivariate causal direction ratios; ratio > 1 supports reversed link; 1 < ratio <= 1.3: weak support; 1.3 < ratio <= 1.7: medium; 1.7 < ratio: strong.

Warp3 bivariate causal direction differences
--------------------------------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	0.376	 	0.130	0.217
K.Inves	0.277	 	 	0.014
K.Pdana	0.145	


Note: absolute Warp3 bivariate causal direction differences.

P values for Warp3 bivariate causal direction differences
---------------------------------------------------------

 	K.Lanju	NP	K.Inves	K.Pdana

NP	<0.001	 	0.069	0.006
K.Inves	<0.001	 	 	0.439
K.Pdana	0.048	


Note: P values for absolute Warp3 bivariate causal direction differences.