Table 7.
Relative indirect effects of ICT interest on ICT self-efficacy and the proportion mediated.
| M1 (HOMESCH) |
M2 (ENTUSE) |
M3 (USESCH) |
M4 (SOIASCH) |
||||||
|---|---|---|---|---|---|---|---|---|---|
| Country | a1b1 (95% CI) | BootSE | a2b2 (95% CI) | BootSE | a3b3 (95% CI) | BootSE | a4b4 (95% CI) | BootSE | Proportion##### Mediated |
| Australia | −0.0069#####(−0.0115, 0.0025) | 0.0023 | 0.0390#####(0.0298, 0.0481) | 0.0046 | 0.0044#####(−0.0010, 0.0099) | 0.0028 | 0.0967#####(0.0876, 0.1075) | 0.0049 | 0.2643 |
| Austria | 0.0013#####(−0.0030, 0.0063) | 0.0023 | 0.0389#####(0.0294,0.0500) | 0.0052 | −0.0034#####(−0.0095,0.0031) | 0.0033 | 0.1062#####(0.0933, 0.1195) | 0.0066 | 0.2896 |
| Belgium | −0.0020#####(−0.0061, 0.0018) | 0.0019 | 0.0413#####(0.0320,0.0504) | 0.0046 | −0.0005#####(−0.0035, 0.0023) | 0.0015 | 0.0945#####(0.0831, 0.1053) | 0.0055 | 0.2703 |
| Chile | −0.0045#####(−0.0095, 0.0004) | 0.0025 | 0.0315#####(0.0234, 0.0412) | 0.0046 | 0.0023#####(−0.0019, 0.0066) | 0.0022 | 0.0870#####(0.0757, 0.1009) | 0.0064 | 0.2281 |
| Czech Republic | −0.0014#####(−0.0094, 0.0065) | 0.0041 | 0.0391#####(0.0284, 0.0507) | 0.0058 | 0.0004#####(−0.0060, 0.0078) | 0.0034 | 0.1307#####(0.1154, 0.1456) | 0.0078 | 0.3210 |
| Denmark | −0.0016#####(−0.0100,0.0065) | 0.0042 | 0.0432#####(0.0306,0.0538) | 0.0059 | −0.0008#####(−0.0104, 0.0078) | 0.0045 | 0.0920#####(0.0804, 0.1048) | 0.0064 | 0.2706 |
| Estonia | −0.0038#####(−0.0116, 0.0026) | 0.0035 | 0.0259#####(0.0147, 0.0389) | 0.0062 | 0.0005#####(−0.0049, 0.0064) | 0.0030 | 0.1415#####(0.1244, 0.1608) | 0.0093 | 0.3388 |
| Finland | −0.0055#####(−0.0115, −0.0008) | 0.0027 | 0.0356#####(0.0204, 0.0502) | 0.0073 | 0.0028#####(−0.0044, 0.0099) | 0.0036 | 0.1379#####(0.1208, 0.1559) | 0.0089 | 0.3501 |
| France | 0.0070#####(0.0016, 0.0125) | 0.0028 | 0.0350#####(0.0235, 0.0472) | 0.0062 | −0.0036#####(−0.0082, −0.0002) | 0.0021 | 0.1084#####(0.0942, 0.1238) | 0.0072 | 0.3095 |
| Germany | −0.0047#####(−0.0097, −0.0002) | 0.0024 | 0.0470#####(0.0354, 0.0588) | 0.0060 | −0.0031#####(−0.0072, 0.0006) | 0.0020 | 0.1154#####(0.1002, 0.1296) | 0.0073 | 0.2939 |
| Greece | 0.0015#####(−0.0043, 0.0079) | 0.0032 | 0.0363#####(0.0243, 0.0486) | 0.0061 | −0.0023#####(−0.0053, −0.0006) | 0.0012 | 0.1228#####(0.1063, 0.1388) | 0.0084 | 0.3237 |
| Hungary | −0.0090#####(−0.0177, −0.0016) | 0.0040 | 0.0385#####(0.0253, 0.0525) | 0.0071 | −0.0043#####(−0.0110, 0.0042) | 0.0038 | 0.1132#####(0.0977, 0.1317) | 0.0086 | 0.2623 |
| Iceland | −0.0030#####(−0.0129, 0.0051) | 0.0046 | 0.0390#####(0.0220, 0.0564) | 0.0087 | 0.0049#####(−0.0037, 0.0133) | 0.0044 | 0.1047#####(0.0842, 0.1247) | 0.0100 | 0.3094 |
| Ireland | −0.0024#####(−0.0063, 0.0006) | 0.0018 | 0.0547#####(0.0431, 0.0670) | 0.0062 | −0.0042#####(−0.0075, −0.0016) | 0.0015 | 0.0871#####(0.0753, 0.1004) | 0.0064 | 0.2820 |
| Israel | −0.0123#####(−0.0222, −0.0044) | 0.0046 | 0.0472#####(0.0357, 0.0597) | 0.0062 | −0.0021#####(−0.0075, 0.0029) | 0.0027 | 0.1226#####(0.1075, 0.1373) | 0.0075 | 0.2865 |
| Italy | −0.0033#####(−0.0069, 0.0003) | 0.0018 | 0.0486#####(0.039, 0.0581) | 0.0050 | 0.0005#####(−0.0030, 0.0039) | 0.0018 | 0.1190#####(0.1070,0.1299) | 0.0057 | 0.3190 |
| Japan | 0.0052#####(0.0001, 0.0098) | 0.0025 | 0.0500#####(0.0387, 0.0614) | 0.00609 | −0.0013#####(−0.0047, 0.0022) | 0.0018 | 0.1751#####(0.1589, 0.1907) | 0.0082 | 0.4015 |
| Korea | 0.0036#####(−0.0008, 0.0090) | 0.0024 | 0.0335#####(0.0230, 0.0450) | 0.0057 | 0.0006#####(−0.0010, 0.0024) | 0.0008 | 0.1401#####(0.1261, 0.1581) | 0.00806 | 0.3926 |
| Latvia | −0.0089#####(−0.0161, −0.0040) | 0.0031 | 0.0280#####(0.0182, 0.0408) | 0.0056 | −0.0030#####(−0.0085, 0.0014) | 0.0025 | 0.1112#####(0.093, 0.1293) | 0.00893 | 0.2908 |
| Luxembourg | −0.0054#####(−0.0131, 0.0010) | 0.0036 | 0.0448#####(0.0326, 0.0590) | 0.0068 | 0.0019#####(−0.0030, 0.0073) | 0.0026 | 0.1137#####(0.0970, 0.1310) | 0.00846 | 0.2949 |
| Mexico | 0.0035#####(−0.0032, 0.0100) | 0.0034 | 0.0424#####(0.0337, 0.0539) | 0.0051 | 0.0003#####(−0.0029, 0.0035) | 0.0017 | 0.0979#####(0.0859, 0.1111) | 0.00648 | 0.2951 |
| Netherlands | −0.0038#####(−0.0102, 0.0015) | 0.0029 | 0.0368#####(0.0247, 0.0487) | 0.0064 | 0.0015#####(−0.0047, 0.008) | 0.0032 | 0.0638#####(0.0540, 0.0751) | 0.0054 | 0.2200 |
| New Zealand | 0.0046#####(−0.0121, 0.0035) | 0.0040 | 0.0256#####(0.0119, 0.0392) | 0.0069 | 0.0001#####(−0.0084, 0.0079) | 0.0043 | 0.0952#####(0.0799, 0.1137) | 0.0082 | 0.2565 |
| Poland | −0.0086#####(−0.0174, 0.0021) | 0.0039 | 0.0357#####(0.0210, 0.0520) | 0.0076 | −0.0060#####(−0.0133, 0.0003) | 0.0032 | 0.1440#####(0.1239, 0.1646) | 0.0109 | 0.3435 |
| Portugal | −0.0003#####(−0.0042, 0.0040) | 0.0021 | 0.0360#####(0.0261, 0.0458) | 0.0049 | −0.0050#####(−0.0091, −0.0010) | 0.0021 | 0.1013#####(0.0901, 0.1142) | 0.0059 | 0.2867 |
| Slovak Republic | −0.0069#####(−0.0170, 0.0014) | 0.0046 | 0.0338#####(0.0215, 0.051) | 0.0072 | 0.0056#####(−0.0026, 0.0141) | 0.0042 | 0.1220#####(0.1051, 0.1404) | 0.0088 | 0.3073 |
| Slovenia | −0.007#####(−0.0152, 0.0022) | 0.00434 | 0.0534#####(0.0391, 0.0674) | 0.0073 | −0.0071#####(−0.0137, −0.0001) | 0.0036 | 0.1298#####(0.1153, 0.1475) | 0.0084 | 0.3256 |
| Sweden | −0.0056#####(−0.0143, 0.0016) | 0.00395 | 0.0054#####(−0.007, 0.0181) | 0.0061 | 0.0059#####(−0.0031, 0.0166) | 0.0048 | 0.1279#####(0.1116, 0.1479) | 0.0087 | 0.2821 |
| Switzerland | −0.0088#####(−0.0150, −0.0039) | 0.00283 | 0.0456#####(0.0317, 0.0588) | 0.0069 | 0.0029#####(−0.002, 0.0070) | 0.0021 | 0.0943#####(0.0819, 0.1094) | 0.0068 | 0.2641 |
| UK | 0.0020#####(−0.0017, 0.0059) | 0.0020 | 0.0175#####(0.0053, 0.0282) | 0.0057 | −0.0050#####(−0.0104, −0.0008) | 0.0024 | 0.0773#####(0.0649, 0.0897) | 0.0063 | 0.1925 |
Note. 95% CI = 95% bias-corrected confidence intervals based on the bootstrapping method. Confidence intervals that contain zero are deemed nonsignificant and highlighted in bold. Bootstrapping is based on 1000 samples.