Weighting of Data Sample Clauses

Weighting of Data. In calculating the county allocation percentages, the data shall be weighted as follows:
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Weighting of Data. Method used For the national surveys three characteristics are kept in tune with their national structures: • Age (six age-groups from 15 to 99: 15-24, 25-34, 35-44, 45-54, 55-64 and 65-99), • Gender (male / female ) and • Geographical distribution. The geographical distribution is based on the European regional classification system NUTS (Nomenclature des unités territoriales statistiques). For each country three to nine NUTS re- gions on the NUTS1 or NUTS2 level have been selected. In setting quotas for all categories of these three characteristics, the composition of the target group was monitored constantly during data collection. If certain population segments have not been sufficiently represented, as it was for example the case with the online interviews in Croatia in phase I, these segments were supplemented with participants in the missing catego- xxxx until the desired quota were filled (e.g. the percentage pensioners over an age of 64). In cases where the sample has still not been fully representative, a weighting process was established to restore full proportionality to the desired national distribution in all three charac- teristics. All required distributions have been yielded from national or European statistical sources (i.e. EUROSTAT). The sampling and weighting procedures have been monitored to secure that extreme weights and thus extreme influences of single interviews are avoided. The weighting system has been calculated in a way that the sum of the weights adds up to the number of valid interviews. A weight below one refers to a stratum where more than the required number of interviews have been performed and where the influence of the single inter- view had to be reduced. A weight over one refers to a stratum, where less than the required number of interviews have been performed and where the influence of the single interview had to be increased. All weights should be kept as close to one as possible. No weight should • Overemphasise the influence of any single interview (increased risk of introducing bias) • Over-reduce the influence of any group of interviews (reduced efficiency) Accoding to good practice, the maximum permissible weight per interview is therefore set to three, the minimum permissible weight to one third. With regard to the weighting procedure the sample consists of all valid interviews that passed the screener plus all persons which were screened out without raising further doubts. The rea- son for this approach is...

Related to Weighting of Data

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  • Processing of Data You acknowledge and agree that with each use of the Service initiated by your xxxxxxxxxx.xxx authenticated Users the Service will access Your xxxxxxxxxx.xxx account to retrieve, store, manipulate, process and modify Customer Data based on Your configuration of the Service (“Process”) and You expressly consent to such access solely as is necessary to provide the Service or Support Services. If the Service cannot for any reason access Your xxxxxxxxxx.xxx account, Conga will be excused from any nonperformance of the Service. You acknowledge that to provide the Service, Customer Data leaves the xxxxxxxxxx.xxx system. Xxxxxxxxxx.xxx is not responsible for Customer Data when it is outside of the xxxxxxxxxx.xxx system.

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