output GSCA (Generalized Struktural Component Analysis)

Model Fit
FIT	0.534
AFIT	0.525
NPAR	36

Measurement Model
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Variable	Loading			Weight			SMC
	Estimate	SE	CR	Estimate	SE	CR	Estimate	SE	CR
LV_1	AVE = 0.616, Alpha =0.832
prod_3	0.773	0.060	12.96*	0.231	0.031	7.35*	0.598	0.090	6.66*
prod_4	0.812	0.043	18.73*	0.256	0.028	9.22*	0.659	0.070	9.47*
prod_5	0.833	0.033	25.38*	0.273	0.026	10.37*	0.693	0.054	12.78*
prod_6	0.822	0.045	18.2*	0.306	0.031	9.73*	0.676	0.074	9.18*
prod_7	0.673	0.075	8.93*	0.200	0.030	6.72*	0.452	0.098	4.63*
LV_2	AVE = 0.646, Alpha =0.776
prof_1	0.493	0.138	3.59*	0.213	0.053	4.03*	0.243	0.127	1.92
prof_2	0.909	0.022	41.74*	0.347	0.027	12.61*	0.826	0.039	21.04*
prof_3	0.887	0.028	32.15*	0.329	0.024	13.72*	0.786	0.049	16.16*
prof_4	0.854	0.038	22.29*	0.337	0.026	12.98*	0.729	0.065	11.24*
LV_3	AVE = 0.000, Alpha =0.686
mo_1	0	0	0	-0.287	0.269	1.06	0	0	0
mo_2	0	0	0	0.278	0.296	0.94	0	0	0
mo_3	0	0	0	0.552	0.344	1.6	0	0	0
mo_4	0	0	0	0.660	0.287	2.3*	0	0	0
mo_5	0	0	0	-0.612	0.243	2.52*	0	0	0
LV_4	AVE = 0.671, Alpha =0.867
kep_1	0.868	0.054	16.05*	0.262	0.024	10.99*	0.753	0.090	8.34*
kep_2	0.795	0.113	7.05*	0.236	0.024	9.64*	0.632	0.168	3.76*
kep_3	0.887	0.044	20.16*	0.268	0.021	12.98*	0.787	0.077	10.23*
kep_4	0.851	0.044	19.47*	0.248	0.021	11.73*	0.723	0.073	9.95*
kep_5	0.676	0.131	5.14*	0.201	0.036	5.55*	0.457	0.168	2.72*

CR* = significant at .05 level
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Structural Model

Path Coefficients
	Estimate	SE	CR
LV_2->LV_1	0.618	0.091	6.81*
LV_3->LV_1	0.282	0.076	3.69*
LV_4->LV_1	-0.104	0.071	1.47

CR* = significant at .05 level
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R square of Latent Variable
LV_1	0.598
LV_2	0
LV_3	0
LV_4	0

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Means Scores of Latent Variables
LV_1	8.738
LV_2	8.625
LV_3	9.079
LV_4	8.252

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Correlations of Latent Variables (SE)
	LV_1	LV_2	LV_3	LV_4
LV_1	1	0.730 (0.042)*	0.584 (0.116)*	0.171 (0.114)
LV_2	0.730 (0.042)*	1	0.525 (0.160)*	0.346 (0.108)*
LV_3	0.584 (0.116)*	0.525 (0.160)*	1	0.217 (0.165)
LV_4	0.171 (0.114)	0.346 (0.108)*	0.217 (0.165)	1

* significant at .05 level  
LV : Variabel laten

FIT          : pengukuran overall model fit

AFIT  : mirip dengan FIT Cuma dipengaruhi kompleksitas model.

N Par : parameter bebas termasuk koefisien loading (c) , koefisien bobot (w), dan koefisien jalur (b) .

Estimasi Loading (c)                : estimasi parameter yang menghubungkan variabel laten ke indikator

Estimasi weight  (w)                : bobot komponen yang mengestimasi score variabel laten

Estimasi Part Coeffisient (b) : estimasi koefisien jalur  yang menghubungkan hubungan antar variabel laten.

SMC : square Estimasi Loading