Advances in Cross-National Comparison: A European Working by Jürgen H.P. Hoffmeyer-Zlotnik, Christof Wolf

By Jürgen H.P. Hoffmeyer-Zlotnik, Christof Wolf

The publication includes 5 components and a concluding bankruptcy. half 1 covers common difficulties and provides options for the harmonisation of knowledge from diversified nationwide and/or cultural contexts. within the moment half EUROSTAT and ESOMAR current their confirmed usual tools. proven tools each one masking one variable (i.e. profession, schooling) are offered within the 3rd half. The fourth half back contains urged instruments for the harmonisation of unmarried variables for which standardised tools are usually not but to be had (i.e. age, faith, ethnicity, family, relations, income). The final half provides chosen empirical analyses demonstrating the use and fruitfulness of tools awarded before.

This publication is principally written for 2 teams. First, researchers and practitioners keen on comparative study in Europe. moment, researchers operating with info of the statistical workplaces of eu nations and knowledge from associations of the eu Union.

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Extra info for Advances in Cross-National Comparison: A European Working Book for Demographic and Socio-Economic Variables

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A harmonisation process aims to reduce these distortion components, or to keep them as small as poss ible from the outset. Restrictions in the comparability of national data will be found, therefore, if adequation problems exist, if the national concepts do not precisely correspond to the international concept, and if measurement errors occur in implementing the national concept. The respective restrictions could theoretically be reduced if the same deviations occurred in both amounts and directions in the other countries too.

Not to include them in samples means therefore to increase the selectivity and to lessen the degree to which these studies are representative. The difficulty with telephone surveys then - and this is also valid on an international level - arises in the context of drawing representative samples. The probl em consists of including both households, those wh ich are listed and those which are not listed, in the sample with a calculable probability. In order to ensure this, there are country specific approaches: from the generation of purely random telephone numbers to the generation of single digits 14 15 16 This is the reason why sampling according to the ADM design is rather complicated and takes place in several steps .

In the first step communities are sampled for which sufficient and comparably good data is available. A stan address is the address where the interviewer begins with the select ion of households according to the random route principle. The households in which the interviews should take place are selected by precise instructions with regard to the route the interviewer must follow . In Germany it can be observed that young people, people living on their own, and people with lower education are less often listed in the telephone book than older people or people living in larger househ olds.

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