Research Article

Interpretability of Composite Indicators Based on Principal Components

Table 4

Correlations of input indicators in Cronbach’s alpha analysis.

PillarInput IDInter-item correlationsItem-total correlations

Panel A: Uganda data set
ABS11.00–0.16
2–0.111.000.18
50.010.051.000.38
6–0.100.080.001.000.02
70.020.120.240.021.000.50
AST11.000.57
20.371.000.46
30.270.191.000.47
40.300.230.331.000.51
SSN11.000.65
20.201.000.43
3–0.09–0.131.00–0.77
40.03–0.01–0.031.00–0.02
AC11.000.55
20.191.000.36
40.11–0.011.000.16
50.170.050.151.000.29
6–0.130.00–0.18–0.241.00–0.61

Panel B: Chad data set
ABS11.000.110.100.040.130.41
20.111.000.040.03–0.100.10
30.100.041.000.050.010.20
40.040.030.051.000.050.17
80.13–0.100.010.051.000.12
AST11.000.410.270.020.66
20.411.000.010.100.49
30.270.011.00–0.030.24
40.020.10–0.031.000.08
SSN21.000.030.120.62
30.031.000.070.59
50.120.071.000.64
AC21.00–0.020.020.06
3–0.021.00–0.01–0.18
40.02–0.011.000.23