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 |  | Methodological information on the Methodology of the GPS 2002 survey  The survey was conducted in April-May 2002 (interviews were carried
        out between 4th April and 18th May) in all 15 EU Member States plus Switzerland
          and the US, using computer-aided telephone interviews. The survey was
          co-ordinated and executed by INRA Deutschland GmbH, Mölln. The
          population for this study is all persons aged 15 and over living in
          private households in the respective countries and speaking the respective
          national language(s). 11,832 interviews were successfully completed.
          The average interview length per country varied between 10 (Greece)
      and 20 minutes (Sweden).  Sampling: Target households were selected at random
        in all countries, either by random dialling techniques such as permutation
        of final digits
          or by drawing a random sample from official sources. Mostly a geographical
          stratification was implemented beforehand. For the selection of the
        target person common random keys were applied in all countries except
        for the
          UK where quota was used. In two cases (Spain, the US), screening had
          to be directed towards male respondents towards the very end of the
      field in order to gain gender representativeness.  There were three adjustments necessary in order to 
        provide reliable data: 
         Transformation from household sample to person 
          sample. As only one person per household is interviewed, the described 
          sample procedure provides a household sample, i.e. each household of 
          the base population has the same likelihood of being in the sample but 
          not each person. With the weighting stage of the transformation the 
          equal likelihood of households is replaced mathematically by the equal 
          likelihood of the individuals. To this end, each data set is multiplied 
          by the amount of people in the household aged 15 or over. This number 
          is subsequently divided by the average household size in order to obtain 
          the actual case number. Adjustment of unweighted sample structure to the 
          official statistic. Because random samples are not evenly distributed 
          across all population strata, the distribution of unweighted samples 
          regularly and systematically deviate from the population distribution 
          from official statistics. Through the mathematical weighting the sample 
          distribution was adjusted to the official statistics. The national weighting 
          factor, which results from the iterative weighting, was included in 
          the data material. Adjustment of weighted sample structure to the 
          EU-15 Member States population. This weighting factor was necessary 
          to calculate total figures according to the whole population of the 
          European Union Member States. Furthermore it is useful to compare the 
          EU with the US. Population sizes of each Member State are weighted to 
          reduce the distortion based on the sample sizes in each country.  Methodology of the GPS-NAS 2003 survey  The survey was conducted in January 2003 (interviews
        were carried out between 1st January and 31st January) in the 10 Newly
        Associated
        States Bulgaria, Czech Republic, Estonia, Hungary, Lithuania, Latvia,
        Poland,
            Romania, Slovenia and Slovakia, using personal aided personal interviews
            (PAPI). The survey was co-ordinated and executed by NFO AISA Czech
            Republic, Prague. The population for this study is all persons aged
            15 and over living in private households in the respective countries
            and speaking the respective national language(s). 10,379 interviews
            were successfully completed. The average interview length per country
      varied between 20 (Romania) and 40 minutes (Lithuania).  Sampling: Target households were selected at random
        in all countries, either by multistage stratified random-route sampling
        or by drawing
              a random sample from official sources. Mostly a geographical stratification
            was implemented beforehand. For the selection of the target person
              common
            random keys were applied in all countries, i.e. the next birthday
      method and the Kish method, except for Bulgaria where quota was used.  There were three adjustments necessary in order
      to provide reliable data: 
         Transformation from household sample to 
          person sample in Poland and Slovenia. As only one person per household 
          is interviewed, the described sample procedure provides a household 
          sample, i.e. each household of the base population has the same likelihood 
          of being in the sample but not each person. With the weighting stage 
          of the transformation the equal likelihood of households is replaced 
          mathematically by the equal likelihood of the individuals. To this end, 
          each data set is multiplied by the amount of people in the household 
          aged 15 or over. This number is subsequently divided by the average 
          household size in order to obtain the actual case number. Adjustment of unweighted sample structure to the 
          official statistic. Because random samples are not evenly distributed 
          across all population strata, the distribution of unweighted samples 
          regularly and systematically deviate from the population distribution 
          from official statistics. Through the mathematical weighting the sample 
          distribution was adjusted to the official statistics. The national weighting 
          factor, which results from the iterative weighting, was included in 
          the data material. Adjustment of weighted sample structure to the 
          NAS-10 countries population. This weighting factor was necessary to 
          calculate total figures according to the whole population of the Newly 
          Associated States. Furthermore it is useful to compare the NAS with 
          the EU. Population sizes of each of the ten states are weighted to reduce 
          the distortion based on the sample sizes in each country. Methodology of the DMS 2002 survey  The survey was conducted in March-May 2002 (interviews
        were carried out between 21st March and 15th May) in seven EU Member
        States using computer-aided telephone interviews. The survey was co-ordinated
        and executed by INRA Deutschland GmbH, Mölln. The population for
        this study is defined as all establishments belonging to four aggregated
        industry sectors in the seven Member States Germany, Finland, France,
        Greece, the UK, Italy and Spain. The interview was conducted with IT
        responsible persons in companies across all sectors of the economy. 3,139
        interviews were successfully completed. The average interview length
        per country varied between 14 (France) and 18 minutes (Italy).  Sampling: The sample was set up according to given
        industry and size class quota. Accordingly a stratified random sample
        was drawn from the universe, allowing for the relevant industries within
        four aggregated sectors (manufacturing, construction, primary sector;
        distribution, catering, transport & communication; financial & business
        services; public administration, education, health, other personal and
        social services). Drawing the sample was organised locally by the national
        executing institutes.  Weighting: For the SIBIS DMS a sample stratified
        by sector/ size cells was used which ensured that in each sector, establishments
        from all size classes (1 to 9, 10 to 49, 50 to 199, 200 to 499 and 500+)
        were sampled. In order to be able to raise figures to national level,
        some form of weighting is required which adequately reflects the structure
        and distribution of establishments (or related variables) in the universe
        of the respective country (and, by implication, EU-15). 
         Original weight: Within each country, the
            interviews were split according to a quota plan which guaranteed
            that the sample is not dominated by micro and small companies. The
            quotas roughly reflect the distribution of employment over sector
            and establishment size bands in the EU, and derive from research
            into establishment sampling frames undertaken for previous studies
            by Infratest and GfK in the course of ECaTT. They represent best
            estimates, but do not take account of country differences. Weighting
            was used in cases where the quotas could not be reached exactly in
            line with this quota plan (mostly due to the limited absolute number
            of establishments in the two biggest size classes). Note that because
            of the use of a single quota plan for all countries, country differences
            in the distribution of employment over establishment size bands which
            occur in reality are not reflected in the data. This is due the lack
            of available data on the distribution of employment across establishments
            size bands in almost all EU Member States, and constitutes a considerable
            problem. This weight is therefore not used for presenting SIBIS results. Weighting by employment: The data available on
          the distribution of employment over establishment size bands is very
          limited for most EU Member States. SIBIS used data from a variety of
          sources, including BT database (United Kingdom), ISTAT Industry and
          Services Intermediate Census (Italy), National Statistical Service
          of Greece (Greece), SIREN (France), Tilstokeskus Official Statistics
          (Finland), Heins + Partner B-Pool (Germany) and Schober Business Pool
          (Spain) and adjusted using data from the DG Enterprise/ Eurostat SME
          Database (latest available, 1997), to estimate the establishment/ employment
          structure for each country in the sample. Using this weight, the weighted
          sample for each country therefore reflects employee distribution between
          the five establishment size bands within that country. This means that
          a data reference of, for example, ”20% of all establishments
          in country A” should be understood to mean ”establishments
          accounting for 20% of all employees in country A”. Weighting by employment for EU-7 averages: Additionally
          another weighting factor was created to calculate average figures for
          all countries in the sample (which together represent roughly 82% percentage
          of total EU employment). Each country is represented in this weight
          according to its share in the total employment of the 7 EU countries
          in which the survey was conducted. |