ZEMCH 2015 - International Conference Proceedings | Page 499

Correlations and Comparative Analyses
Spearman’s correlation analysis evidenced that income decile, age, and occupation of the heads
of household were the strongest demographic indicators for self-help personalisation works (Table 5). Income was moderately correlated to floor finishing works and construction of external
roofs, whilst weakly correlated to wall finishing works and builder type. The age of the head of
household was strongly correlated to size of the extensions, whilst moderately correlated to the
construction of exterior fences and sheds, and weakly correlated to finishing works. In parallel,
the occupation of the heads of household were moderately correlated to the construction of
external pavements, whist weakly correlated to the presence of anchored furniture, wall finishing
works, and to the absence of any modifications. Besides, number of household nuclei was weakly
correlated to the type furniture used to store clothing (rs=-0.218, n=89, p=.041), while the number
of workers per household was moderately correlated to the presence of exterior fences (rs=-0.362,
n=40, p=.022).
Table 5. Spearman’s Correlation results between demographic and personalisation variables
Independent Variable

Dependent Variable

household income decile floor finishing works

Coef.

Sig.

n

+0.359

<.001

98

external roofs

-0.320

=.045

38

wall finishing works

+0.280

=.005

100

builder type

+0.221

=.026

102

extension size

+0.449

=.017

28

exterior fences

-0.386

=.027

33

exterior shed

-0.318

=.049

39

wall finishing works

+0.299

=.002

106

occupation h. household exterior pavements

+0.334

=.008

43

anchored furniture

+0.273

=.008

94

wall finishing works

+0.241

=.013

105

no modifications

-0.229

=.021

102

age h. household

The results of correlation analysis between satisfaction levels and personalisation strategies are
summarized in Table 6. In terms of satisfaction with the current architectural conditions of the
dwellings, the measured surface area of the built extensions was positively correlated to the interviewees’ perception of the lot size and extension possibilities for their dwelling but negatively
correlated to their appraisal on bathroom location and number of bedrooms. The presence of
modifications to kitchen partitions was positively correlated to the users’ perception of current
kitchen size and modification capabilities of their dwelling while complete absence of modifications was negatively correlated to the users’ perception of the current finishing works of their
dwellings. No significant correlations were found between personalisation strategies and satisfaction levels regarding the size of the dwellings. Nonetheless, demographic variables such as
number of users and number of nuclei were correlated to satisfaction levels with dwelling size
(rs=-0.291, n=108, p=.002 and rs=0.223, n=108, p=.018 respectively), while number of users and income decile were correlated to number of bedrooms satisfaction levels (rs=-0.525, n=108, p<.001
and rs=-0.231, n=104, p=.018 respectively).
In terms of satisfaction with the current environmental conditions of the dwellings, the development of extensions for kitchen purposes was negatively correlated to satisfaction on moisture

Personalisation strategies and residential satisfaction in chilean social housing

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