Weighting
Pages | 31-31 |
Weighting
Benefit s of gender equality th rough infrastruct ure provision: an EU-wid e survey31
7. Weighting
In this survey-based research, the selected sam-
ple size was proportional to the size of the adult
population in every participating Member State.
In particular, in each Member State, the sample
size for the survey was 0.0001 % of the popula-
tion size. The sample size of each Member State
thus acts as an implicit weighting factor in the
analyses and it is not necessary to use addi-
tional weights in the microdata to ensure that
the sample is representative of the EU.
The sample was selected proportionally to age
(18-39, 40- 64 and ≥65) and gender. As it was
a random selection of cases in each Member
State, some discrepancies may have occurred
between the age and gender distribution of the
sample and that of the population. In order to
determine the reach of these discrepancies by
Member State, the percentage distribution by
gender and age of the sample was calculated and
compared to their distribution in the population.
Table 37 (Annex 3) shows the percentage dis-
tributions, where the unweighted percentage
(u (%)) refers to the proportion of the sample
that belonged to that category, whereas the
weighted percentage (w (%)) is the proportion
of the population belonging to that category.
For instance, the percentage of men aged 18-39
was 20.24 % and 17.38 % in the Austrian sample
and population, respectively.
Columns u (%) and w (%) reveal the ex tent of
the discrepancy/similarity between sample and
population percentages, by Member State.
It is worth noting the lack of 18-39 male respond-
ents in Luxembourg and Malta, even though
the percentage of this part of the population is
19.60 % and 19.74 %, respectively.
Table 38 (Annex 3) shows a percentage distribu-
tion similar to that in Table 1, but with data dis-
aggregated by sex and labour status (employed
vs unemployed). It was a prerequisite that 30 %
of respondents should be employed. Table 38
reveals the extent of compliance with the crite-
rion in every MS, by gender.
Finally, Table 39 (Annex 3) includes the per-
centage distribution of rural, intermediate and
urban areas in the sample and the population
of each Member State. It was a prerequisite that
30 % of respondents should live in rural areas.
Table 39 reveals the extent of compliance with
the criterion in every MS, by gender.
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeUnlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
