Sample distribution Clause Samples

Sample distribution. Table 2.5.1 outlines the sample distributions for the entire sample. Tables that outline the sample distributions by country can be found in Appendix A. They include demographic information of the samples in regard to age, gender, region, highest education level achieved, and household income. For regions, the Nomenclature of Territorial Units for Statistics (NUTS) classification was employed. Samples were mostly collected at a NUTS 2 level but in some cases, we sampled at the NUTS 3 level but tested for representativity at the NUTS 2 level. Due to challenges with over- and under-sampling, some countries are not nationally representative with respect to age, gender, and region. We elected to not remove respondents from countries that were over-sampled to adjust for representativity as larger sample sizes will allow us to reduce the margin of error and increase the confidence in the findings, albeit with the disadvantage of over- representation and under-representation of certain segments of the European population. For educational level of respondents, the International Standard Classification of Education (ISCED) 2011 coding schemes for education programmes were adapted slightly when presented to respondents. For example, post-secondary non-tertiary education and short-cycle tertiary educational programmes were classified as vocational programmes. This simplification does not reflect the true complexity and variety of programmes that are found across Europe; for this reason, “not elsewhere classified” was used. For analysis of this variable, the educational programmes were grouped into three categories: “secondary education and below”, “vocational and bachelor’s education”, and “master’s and doctoral education.” For household income, the distribution of income by quantiles from the 2022 European Union Statistics on Income and Living Conditions (EU-SILC) and the European Community Household Panel (ECHP) survey data was extracted from the Eurostat database to construct the income ranges used in the survey instrument. These income ranges were shown to respondents as monthly and annual earnings dependent on the country. Household income included earnings after tax, insurances, and mortgage. Chi-square goodness-of-fit tests were conducted for age, gender, and NUTS region where possible. In countries where some of the regions had expected counts of less than 5, but where such regions did not make up 20% of the total number of regions, chi-square goodness-fit-te...

Sample distribution. Standards are distributed semi-annually. Sample descriptions and instructions will be available on the Internet prior to each sample distribution. Current Sample Descriptions can be found on the public MAPEP website at ▇▇▇▇▇://▇▇▇.▇▇.▇▇▇▇▇▇.▇▇▇/resl/mapep/mapep.html for all MAPEP proficiency testing matrices. The MAPEP must be notified of any special shipping requirements. The participants must ensure that they are authorized to receive a MAPEP sample and that their standard operating procedures incorporate appropriate sample management and waste disposal practices. Acceptance of the MAPEP sample(s) means that the participating laboratory takes title and ownership of the sample(s). Excess sample or associated residues cannot be returned to RESL. Sample analysis shall not be initiated if approved treatment, storage, or disposal options are not available.

Sample distribution. ▇▇▇▇▇▇▇▇ were collected by Norwegian purse-seiners in 2019 and baitboat fisheries from Canary Islands in 2015, 2018 and 2019.