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. 2023 Jan 21;10(1):29. doi: 10.1057/s41599-023-01523-2

Table 2.

Loadings, convergent validity, and reliability estimates.

Latent variable Item Loading Alpha ρ_A CR AVE
Staff capacity SC1 0.880 0.911 0.912 0.935 0.743
SC2 0.849 [0.894, 0.926] [0.896, 0.928] [0.923, 0.945] [0.703, 0.775]
SC3 0.918
SC4 0.930
SC5 0.717
Performance-based budgeting PBB1 0.788 0.881 0.896 0.910 0.629
PBB4 0.706 [0.858, 0.901] [0.877, 0.915] [0.894, 0.924] [0.586, 0.671]
PBB5 0.796
PBB8 0.729
PBB10 0.834
PBB11 0.890
Top management support TMS1 0.824 0.935 0.936 0.949 0.755
TMS2 0.895 [0.918, 0.949] [0.924, 0.951] [0.936, 0.950] [0.709, 0.796]
TMS3 0.853
TMS4 0.865
TMS5 0.891
TMS6 0.884
University performance UNP2 0.772 0.899 0.905 0.926 0.714
UNP5 0.867 [0.875, 0.919] [0.885, 0.925] [0.910, 0.939] [0.669, 0.756]
UNP6 0.908
UNP7 0.809
UNP8 0.862

CR composite reliability, AVE average variance extracted; the values in brackets are the lower and upper bounds of the one-tailed percentile confidence intervals with 10,000 subsamples at a 5% significance level.