Digital technologies in resource constrained higher institutions of learning: a study on students’ acceptance and usability

Table 6 Confirmatory factor analysis results

No.	Scale Item		Factor Loading	% explained Variance
1	Perceived Ease of Use	PEOU1	0.761	54.183
		PEOU2	0.883
		PEOU3	0.871
		PEOU4	0.721
2	Perceived Usefulness	PU1	0.826	21.053
		PU2	0.888
		PU3	0.910
		PU4	0.809
3	Attitude towards Usage	ATU1	0.805	7.555
		ATU2	0.946
		ATU3	0.940
4	Intension to Use	ITU1	0.670	6.230
		ITU2	0.914
		ITU3	0.743
		ITU4	0.754
		ITU5	0.775
5	Students capacity to use digital technologies	SC1	0.793	4.683
		SC2	0.790
		SC3	0.614
6	Student’s Access to digital technologies	SA1	0.858	2.701
		SA2	0.671
		SA3	0.747
		SA4	0.847
7	Student’s Awareness of Use of digital technologies	SW1	0.786	1.874
		SW2	0.926
		SW3	0.614
8	Lecturer Characteristics	LC1	0.781	1.722
		LC2	0.868
		LC3	0.874
		LC4	0.804

Principal axis factoring was used with varimax rotation and Kaiser normalization. N=63.Rotation converged in six iterations
The constructs presented in the table had high factors loading thus being valid whereas constructs PEOU5, ATU4, ATU5, SCI4, SCI5, SA5, SW4, SW5 and LC5 were deleted due to low factor loading which was below 0.6.