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# Table 4 Clusters and their characteristic categories

Dementia special care units (N = 21) Usual care (N = 59) House community (N = 23) Not significant
Finance 1 (100, 76, 16%) Size 1 (73, 98, 77%) Size 0 (92, 96, 23%) Separate 1
Jobqual 1 (65, 81, 25%) Jobqual 0 (73, 95, 75%) SRoom 1 (68, 91, 30%) Guarded 0
Segregative 1 (50, 95, 39%) Finance 0 (68, 100, 84%) Selfcook 1 (57, 70, 27%) Furniture 0
Build 1 (43, 95, 46%) Build 0 (80, 76, 54%) AssignN 0 (100, 30, 7%) Furniture 1
RNRatio 1 (34, 86, 51%) Segregative 0 (76, 81, 61%) PresenceRN 0 (80, 35, 10%) Outdoor 1
Guarded 1 (53, 43, 17%) RNRatio 0 (80, 68, 49%) Mealserv 1 (57, 52, 20%) Outdoor 2
SRoom 0 (28, 95, 70%) SRoom 0 (69, 85, 70%) SSMRatio 1 (36, 83, 51%) AssignSSM 0
SSMRatio 0 (32, 76, 49%) AssignN 1 (61, 100, 93%) Finance 0 (26, 100, 84%) AssignSSM 1
Size 1 (25, 95, 77%) Selfcook 0 (65, 83, 73%) Outdoor 0 (57, 17, 7%) CNARatio 1
Selfcook 0 (25, 90, 73%) Separate 0 (75, 41, 31%)   CNARatio 0
Mealserv 0 (63, 88, 80%)   NARatio 1
PresenceRN 1 (61, 97, 90%)   NARatio 0
1. Legend:
2. The percentages in brackets (p1p2p3) that determine the statistical significance (p-value) of the category by applying the v-test are defined as follows:
3. p1 specifies the percentage of living units possessing the corresponding category that are in the respective cluster. For example, all 16 living units with the characteristic Finance 1 are included in the cluster “Dementia special care units”, i.e., $$100\%=100\ast \frac{16}{16}$$.
4. p2 specifies the percentage of living units in the cluster possessing the corresponding category. For example, 16 out of 21 total living units in the cluster “Dementia special care units” have the characteristic Finance 1, i.e., $$76\%\approx 100\ast \frac{16}{21}$$.
5. p3 specifies the percentage of living units possessing the corresponding category in the sample
6. For example, 16 out of 103 total living units have the characteristic Finance 1, i.e., $$16\%\approx 100\ast \frac{16}{103}$$.