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 contains 5 elements and a concluding bankruptcy. half 1 covers common difficulties and provides ideas for the harmonisation of information from assorted nationwide and/or cultural contexts. within the moment half EUROSTAT and ESOMAR current their proven average tools. demonstrated tools each one overlaying one variable (i.e. career, schooling) are offered within the 3rd half. The fourth half back contains recommended instruments for the harmonisation of unmarried variables for which standardised tools aren't but on hand (i.e. age, faith, ethnicity, loved ones, kin, income). The final half offers chosen empirical analyses demonstrating the use and fruitfulness of tools provided before.

This ebook is especially written for 2 teams. First, researchers and practitioners interested by comparative learn in Europe. moment, researchers operating with information of the statistical workplaces of eu international locations and information from associations of the eu Union.

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Statistical harmoni sation and quality: The case of social statistics " Pp. 51114 in The future of European social statistics, Harmonisation of social statistics and quality, The fourth Mondo rf Seminar 26 and 27 March 1998, edited by Eurostat. Luxembourg : Eurostat. Hamer, G. et al. 1977. " Wirtschaft und Statistik 1977/4:215-239. Jacobi , G. 1953. " Wirtschaft und Statistik 1953/5 :191-197. Merk , G. 1994. " Wirtschaft und Statistik 1994/5:323-328. Chapter 3 The ISSP and its Approach to Background Variables MICHAEL BRAUN AND ROLF UHER 1.

To avoid the The ISS? and its Approach to Background Variables 37 problem of incommensurable file formats, the Central Archive for Empirical Social Research now circulates a standard SPSS setup including the background variables to each ISSP member in advance for each module. Background variables have been discussed at a number of meetings to find out whether some less essential variables could be removed from the obligatory 'core variables' (see the Appendix which includes most of these) and with regard to the obstacles in processing various variables as they arrived at the Archive.

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.

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