| 10-Cluster Model |
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| Number of cases |
2083 |
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| Number of parameters (Npar) |
49 |
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| Random Seed |
264930 |
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| Best Start Seed |
261754 |
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| Chi-squared Statistics |
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| Degrees of freedom (df) |
2034 |
p-value |
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| L-squared (L²) |
12500,5546 |
3,9e-1474 |
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| X-squared |
303759197849517940000000000000000000,0000 |
0,0e-2147483647 |
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| Cressie-Read |
813377468622122670000000,0000 |
0,0e-2147483647 |
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| BIC (based on L²) |
-3042,3874 |
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| AIC (based on L²) |
8432,5546 |
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| AIC3 (based on L²) |
6398,5546 |
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| CAIC (based on L²) |
-5076,3874 |
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| SABIC (based on L²) |
3419,8220 |
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| Dissimilarity Index |
0,7263 |
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| Total BVR |
55,6275 |
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| Log-likelihood Statistics |
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| Log-likelihood (LL) |
-17115,7924 |
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| Log-prior |
-9,3416 |
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| Log-posterior |
-17125,1340 |
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| BIC (based on LL) |
34606,0215 |
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| AIC (based on LL) |
34329,5848 |
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| AIC3 (based on LL) |
34378,5848 |
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| CAIC (based on LL) |
34655,0215 |
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| SABIC (based on LL) |
34450,3439 |
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| Classification Statistics |
Clusters |
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| Classification errors |
0,0250 |
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| Reduction of errors (Lambda) |
0,9574 |
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| Entropy R-squared |
0,9640 |
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| Standard R-squared |
0,9513 |
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| Classification log-likelihood |
-17257,0459 |
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| Entropy |
141,2534 |
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| CLC |
34514,0917 |
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| AWE |
35409,9650 |
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| ICL-BIC |
34888,5284 |
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| Classification Table |
Modal |
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| Latent |
Cluster1 |
Cluster2 |
Cluster3 |
Cluster4 |
Cluster5 |
Cluster6 |
Cluster7 |
Cluster8 |
Cluster9 |
Cluster10 |
Total |
| Cluster1 |
857,0738 |
0,0000 |
0,6840 |
0,0000 |
2,0239 |
0,4305 |
0,0000 |
0,0000 |
0,6353 |
0,0000 |
860,8475 |
| Cluster2 |
0,0013 |
291,1479 |
6,9853 |
3,9824 |
0,0221 |
0,3631 |
0,0048 |
0,0000 |
0,0001 |
0,0154 |
302,5223 |
| Cluster3 |
2,6566 |
10,1743 |
222,6350 |
0,0003 |
0,2718 |
0,7141 |
0,0000 |
0,0000 |
0,7140 |
0,0000 |
237,1661 |
| Cluster4 |
0,0000 |
8,3236 |
0,0000 |
139,0379 |
0,0000 |
0,0295 |
0,1011 |
0,0000 |
0,0000 |
0,0770 |
147,5691 |
| Cluster5 |
1,0167 |
0,0293 |
0,4331 |
0,3048 |
110,5976 |
0,0015 |
0,0117 |
0,0509 |
0,0685 |
0,0008 |
112,5149 |
| Cluster6 |
0,2771 |
0,3245 |
1,7721 |
0,4766 |
0,0794 |
103,3553 |
0,0000 |
0,0000 |
0,6870 |
1,9739 |
108,9459 |
| Cluster7 |
0,0000 |
0,0000 |
0,0000 |
0,0805 |
0,0001 |
0,0000 |
82,8715 |
0,0000 |
0,0000 |
0,2119 |
83,1639 |
| Cluster8 |
0,0000 |
0,0000 |
0,0000 |
0,0000 |
0,0000 |
0,0000 |
0,0000 |
79,8515 |
0,2490 |
0,0325 |
80,1330 |
| Cluster9 |
0,9746 |
0,0000 |
1,4904 |
0,0000 |
0,0051 |
1,0814 |
0,0000 |
0,0215 |
71,6456 |
0,0066 |
75,2252 |
| Cluster10 |
0,0000 |
0,0004 |
0,0000 |
0,1175 |
0,0001 |
1,0246 |
0,0110 |
1,0762 |
0,0004 |
72,6820 |
74,9120 |
| Total |
862,0000 |
310,0000 |
234,0000 |
144,0000 |
113,0000 |
107,0000 |
83,0000 |
81,0000 |
74,0000 |
75,0000 |
2083,0000 |
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| Classification Table |
Proportional |
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| Latent |
Cluster1 |
Cluster2 |
Cluster3 |
Cluster4 |
Cluster5 |
Cluster6 |
Cluster7 |
Cluster8 |
Cluster9 |
Cluster10 |
Total |
| Cluster1 |
853,9690 |
0,0017 |
2,4811 |
0,0000 |
2,5286 |
0,4555 |
0,0000 |
0,0000 |
1,4116 |
0,0000 |
860,8475 |
| Cluster2 |
0,0017 |
279,2687 |
12,9581 |
9,4363 |
0,1818 |
0,6218 |
0,0117 |
0,0000 |
0,0003 |
0,0419 |
302,5223 |
| Cluster3 |
2,4811 |
12,9581 |
218,2143 |
0,0004 |
0,4003 |
1,8858 |
0,0000 |
0,0000 |
1,2245 |
0,0015 |
237,1661 |
| Cluster4 |
0,0000 |
9,4363 |
0,0004 |
137,3420 |
0,1074 |
0,3465 |
0,1618 |
0,0000 |
0,0000 |
0,1747 |
147,5691 |
| Cluster5 |
2,5286 |
0,1818 |
0,4003 |
0,1074 |
109,0712 |
0,0808 |
0,0184 |
0,0483 |
0,0742 |
0,0038 |
112,5149 |
| Cluster6 |
0,4555 |
0,6218 |
1,8858 |
0,3465 |
0,0808 |
101,8448 |
0,0000 |
0,0000 |
1,4279 |
2,2828 |
108,9459 |
| Cluster7 |
0,0000 |
0,0117 |
0,0000 |
0,1618 |
0,0184 |
0,0000 |
82,7930 |
0,0000 |
0,0000 |
0,1791 |
83,1639 |
| Cluster8 |
0,0000 |
0,0000 |
0,0000 |
0,0000 |
0,0483 |
0,0000 |
0,0000 |
79,1553 |
0,2033 |
0,7260 |
80,1330 |
| Cluster9 |
1,4116 |
0,0003 |
1,2245 |
0,0000 |
0,0742 |
1,4279 |
0,0000 |
0,2033 |
70,8725 |
0,0110 |
75,2252 |
| Cluster10 |
0,0000 |
0,0419 |
0,0015 |
0,1747 |
0,0038 |
2,2828 |
0,1791 |
0,7260 |
0,0110 |
71,4911 |
74,9120 |
| Total |
860,8475 |
302,5223 |
237,1661 |
147,5691 |
112,5149 |
108,9459 |
83,1639 |
80,1330 |
75,2252 |
74,9120 |
2083,0000 |
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| Files |
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| Infile |
C:\Users\naxue\OneDrive - Delft University of Technology\P2. Teleworing, time use and subjective well-being\MPN_2022\Lab10\MPNWAVE10_LAB10_telework_SWB.sav |
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| Options |
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| threads |
8 |
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| algorithm |
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| tolerance |
1e-008 |
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| emtolerance |
0,01 |
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| emiterations |
250 |
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| nriterations |
50 |
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| startvalues |
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| seed |
0 |
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| sets |
100 |
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| tolerance |
1e-005 |
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| iterations |
3000 |
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| bayes |
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| categorical |
1 |
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| variances |
1 |
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| latent |
1 |
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| poisson |
1 |
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| quadrature |
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| nodes |
10 |
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| missing |
excludeall |
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| output |
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| parameters |
effect |
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| standard errors |
standard |
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| bivariate residuals |
marginal |
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| sample size BIC |
2083 |
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| predictionstatistics |
no |
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| Variable Detail |
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| 4 Indicators |
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| N_URENVAST_CONTINU |
Count |
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| N_URENTHUIS_CONTINU |
Count |
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| N_URENELDERS_CONTINU |
Count |
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| N_URENONDERWEG_CONTINU |
Count |
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