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Table 3 Item Alpha parameter—country-specific items.

From: School-level inequality measurement based categorical data: a novel approach applied to PISA

CNT ST011D17TA ST011D18TA ST011D19TA
ARE 1.288 1.215 1.247
AUS 0.655 0.610 1.015
AUT 1.132 0.539 1.106
BEL 0.522 0.749 1.365
BGR 1.575 1.734 1.110
BRA 1.331 1.149 1.448
CAN 1.090 0.745 0.704
CHE 1.644 0.499 1.107
CHL 0.764 1.599 1.058
COL 1.819 0.851 0.907
CRI 1.189 1.552 1.177
CZE 0.851 0.851 0.851
DEU 0.212 − 0.197 1.484
DNK 1.883 0.270 0.851
DOM 1.318 1.694 1.158
DZA 0.851 0.851 0.851
ESP 1.311 0.648 0.763
EST 1.228 1.435 1.314
FIN 1.727 0.655 0.851
FRA 0.785 1.109 1.171
GBR 0.347 0.835 0.570
GEO 1.013 1.119 1.195
GRC 1.441 0.993 1.227
HKG 1.036 1.569 0.653
HRV 0.806 0.921 1.157
HUN 0.750 1.114 1.858
IDN 1.631 1.036 2.162
IRL 0.956 0.741 0.746
ISL 1.038 0.976 0.622
ISR 0.800 1.207 0.914
ITA 0.881 0.952 0.742
JOR 0.953 1.238 1.589
JPN 1.360 0.619 0.738
KOR 1.077 1.128 1.291
KSV 1.221 1.199 1.536
LBN 1.456 1.365 0.749
LTU 1.781 0.929 1.511
LUX 0.614 1.218 0.353
LVA 1.340 1.193 0.679
MAC 1.587 1.860 1.482
MDA 1.712 0.851 0.851
MEX 1.155 1.381 1.374
MKD 0.969 0.757 0.851
MLT 0.969 0.683 0.991
MNE 1.557 1.761 1.900
NLD 0.631 1.724 0.767
NOR 1.747 0.811 0.851
NZL 0.784 0.739 1.098
PER 1.510 1.922 2.132
POL 1.474 1.853 1.789
PRT 0.448 1.063 1.071
QAR 0.383 1.495 1.115
QAT 0.837 1.348 1.094
QCH 1.899 2.501 1.315
QES 1.271 0.623 0.771
ROU 1.018 0.720 1.725
RUS 1.694 1.286 1.246
SGP 1.615 1.283 0.851
SVK 1.177 1.994 0.851
SVN 0.709 1.186 1.176
SWE 1.092 0.725 0.785
TAP 1.724 1.148 1.465
THA 2.377 1.155 1.932
TTO 1.156 0.810 0.566
TUN 1.572 1.824 1.098
TUR 1.075 1.659 1.502
URY 0.499 1.251 2.294
USA 0.863 1.375 1.142
VNM 2.577 0.794 2.052