Work-life balance as predictors of job satisfaction in the tertiary educational sector

Figures & data

Table 1. Demographic profile of the respondents

		%
Gender	Male	272	57.14
	Female	204	42.86
Age	25–35	295	61.97
	36–45	123	25.84
	46–55	58	12.19
Educational Level	Secondary	51	10.71
	HND	78	16.39
	1^st Degree	138	29
	Masters	159	33.4
	Doctoral Degree	50	10.5
Year of Working	0–5 Years	241	50.63
	5–10 Years	200	42.02
	10–15 Years	12	2.52
	More than 15 Years	23	4.83

Table 2. Factor loadings, composite reliability, and AVE for construct

		Skewness	Kurtosis	Factor Loading(> 0.5)	CR (> 0.60)	α (> 0.70)	AVE (> 0.50)
WPS
	X1	−0.0084	−2.0084	0.847	0.80107676	0.8012895	0.5479972
	X3	−5.3019	−8.7929	0.590
	X4	−0.1384	−1.3170	0.604
	X5	0.3336	−1.5323	0.612
WIPL
	X8	−0.2884	−1.1177	0.791	0.7712145	0.7313173	0.5382495
	X9	−9.0429	−0.7745	0.536
	X10	−1.1178	0.1181	0.681
	X11	−4.8972	−1.5046	0.892
PLIW
	X13	−5.0686	−1.1930	0.591	0.7756141	0.7625261	0.5173491
	X14	−0.3063	−1.4448	0.547
	X15	−5.7839	−1.2106	0.776
	X16	−4.8748	−0.7344	0.767
SWLB
	X18	−5.7894	−0.9771	0.724	0.8130486	0.7997156	0.54092
	X19	0.508	−0.876	0.508
	X20	0.858	−0.536	0.858
	X21	0.858	−0.184	0.858
IEW
	X22	0.533	−0.975	0.533	0.7887381	0.7607171	0.5697077
	X7	−5.1533	−1.0986	0.742
	X17	0.0879	−1.2711	0.900
	X12	0.1409	1.2322	0.900

Table 3. Discriminant validity (inter-correlations)

	WPS	WIPL	PLIW	SWLB	IEW
WPS	0.740
WIPL	0.636	0.696	0.719
PLIW	0.530	0.402	0.668
SWLB	0.122	0.359	0.404	0.750

Figure 1. Path analysis.

Table 4. Hypotheses testing results

Hypothesis	Path	β	t-value	Results
H1	WPS->WIPL	0.310	6.217***	Support
H2	WPS->PLIW	0.180	4.676***	Support
H3	WIPL->SWLB	−0.700	−3.689***	Support
H4	PLIW->SWLB	−0.490	3.479***	Support
H5	SWLB->IEW	0.560	4.899***	Support

1st and 2nd variable on the path represents independent and dependent variables respectively; *,**, and *** indicated significant at 10%, 5% and 1% respectively

Table 5. Fit Indices

Fit indices	Recommended values	Value	Remarks
Chi-square (X^2/df)	< 5 preferably <3	4.22	Good fit
Goodness of fit index(GFI)	> 0.90	0.91	Good fit
Adjusted Goodness of fit(AGFI)	> 0.80	0.87	Good fit
Comparative fit index(CFI)	> 0.90	0.91	Good fit
Root mean square error of approximation(RMSEA)	> 0.08	0.28	Good fit
Root mean square residual(RMR)	< 0.05	0.006	Good fit
Non-normal fit index(NFI)	> 0.90	0.912	Good fit
PNFI	> 0.60	0.611	Good fit