Table 2. Structural model evaluation...

Table 2.

Structural model evaluation results

Variable relationship	Path coefficient	t-value	p-value
COMP → PERS $(γ_{1})$	0.048	0.778	0.437
ACC → PERS $(γ_{2})$	0.077	1.236	0.217
CUR → PERS $(γ_{3})$	0.073	1.492	0.136
TRU → PERS $(γ_{4})$	0.141	3.161	0.002
ATT → PERS $(γ_{5})$	0.227	3.618	0.000
BSC → PERS $(γ_{6})$	−0.021	0.674	0.500
CIV → PERS $(γ_{7})$	0.319	5.725	0.000
PERS → PUR $(β_{1})$	0.365	5.771	0.000
PERS → RES $(β_{2})$	0.336	5.749	0.000
MIND x PERS → PUR $(γ_{8})$	−0.037	0.915	0.360
MIND x PERS → RES $(γ_{8})$	0.027	0.783	0.434
EXP → PERS $(γ_{9})$	0.173	3.216	0.001
Age → PUR $(β_{3})$	−0.055	0.468	0.640
Age → RES $(β_{7})$	0.442	4.115	0.000
Gender → PUR $(β_{4})$	−0.082	0.742	0.458
Gender → RES $(β_{8})$	−0.167	1.492	0.136
Watching Frequency → PUR $(β_{5})$	0.146	1.579	0.114
Watching Frequency → RES $(β_{9})$	0.287	2.753	0.006
Subscription → PUR $(β_{6})$	0.052	0.454	0.650
Subscription → RES $(β_{10})$	0.495	3.956	0.000

Variable relationship	Path coefficient	t-value	p-value
COMP → PERS $(γ_{1})$	0.048	0.778	0.437
ACC → PERS $(γ_{2})$	0.077	1.236	0.217
CUR → PERS $(γ_{3})$	0.073	1.492	0.136
TRU → PERS $(γ_{4})$	0.141	3.161	0.002
ATT → PERS $(γ_{5})$	0.227	3.618	0.000
BSC → PERS $(γ_{6})$	−0.021	0.674	0.500
CIV → PERS $(γ_{7})$	0.319	5.725	0.000
PERS → PUR $(β_{1})$	0.365	5.771	0.000
PERS → RES $(β_{2})$	0.336	5.749	0.000
MIND x PERS → PUR $(γ_{8})$	−0.037	0.915	0.360
MIND x PERS → RES $(γ_{8})$	0.027	0.783	0.434
EXP → PERS $(γ_{9})$	0.173	3.216	0.001
Age → PUR $(β_{3})$	−0.055	0.468	0.640
Age → RES $(β_{7})$	0.442	4.115	0.000
Gender → PUR $(β_{4})$	−0.082	0.742	0.458
Gender → RES $(β_{8})$	−0.167	1.492	0.136
Watching Frequency → PUR $(β_{5})$	0.146	1.579	0.114
Watching Frequency → RES $(β_{9})$	0.287	2.753	0.006
Subscription → PUR $(β_{6})$	0.052	0.454	0.650
Subscription → RES $(β_{10})$	0.495	3.956	0.000

Source(s): Table by authors

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