Table 7 Multi-group comparison.

Hypothesis	PLS Path	Gender(Male-Female)		Type of Household Registration (Local - Other)		Type of Work Experience (YES - NO)		Type of Volunteer Experience (YES - NO)		Type of Career Planning (YES - NO)
		Path Coeff. Differ.	p-Value Henseler’s MGA	Path Coeff. Differ.	p-Value Henseler’s MGA	Path Coeff. Differ.	p-Value Henseler’s MGA	Path Coeff. Differ.	p-Value Henseler’s MGA	Path Coeff. Differ.	p-Value Henseler’s MGA
H1a	IM → WLB → EI	0.039	0.231	0.000	0.443	−0.003	0.541	0.021	0.175	0.014	0.243
H1b	IM → EI	0.014	0.495	0.388	0.009	0.082	0.300	0.221	0.108	−0.075	0.688
H1c	IM → JS → EI	−0.128	0.85	0.164	0.033	0.029	0.384	−0.099	0.770	0.021	0.412
H1d	IM → SDP	0.074	0.344	−0.057	0.648	−0.057	0.657	0.141	0.190	−0.154	0.859
H2a	EM → WLB → EI	0.138	0.04	−0.036	0.702	−0.007	0.557	−0.019	0.591	−0.048	0.771
H2b	EM → JS → EI	0.168	0.16	−0.195	0.971	0.019	0.438	−0.099	0.770	0.142	0.084
H2c	EM → EI	0.015	0.457	0.388	0.983	−0.268	0.943	−0.321	0.934	0.154	0.178
H2d	EM → SDP	−0.078	0.661	0.136	0.173	0.051	0.356	−0.164	0.851	0.194	0.080

1. Results for Henseler’s approach eligible for a p-value one-tailed test.
2. This table examines the influence of various moderating variables on the hypothesized paths within the model. Moderating variables include: Gender (Male vs. Female); Type of Household Registration (Local vs. Other); Type of Work Experience (Yes vs. No); Type of Volunteer Experience (Yes vs. No); Type of Career Planning (Yes vs. No). The moderating variables are tested across paths (e.g., IM → WLB → EI, IM → EI) using Henseler’s approach for significance. P-values and path coefficient differences highlight the moderation effects, with a one-tailed p-value test applied where appropriate.

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