Классификатор профессий ISCO-88: история разработки, концептуальные основания, модель операционализации, применение в социологических исследованиях

Abstract

The article concerns with the history of development of the International Standard Classification of Occupations ISCO-88, its various areas of use, conceptual frame work and operationalization model. The relevance of this article lies in the need to popularise this occupational classification among the Ukrainian researchers, the classification being widely applied in international and domestic statistics and social surveys (ESS, ISSP, etc). The article describes various areas of use of the occupational classification; special attention is paid to the us age of occupation in sociological practice, either as the main variable in the empirical analysis or as the background variable used for the construction of typologies of social class and socioeconomic status. The author considers the history of development and implementation of the occupational classification, as well as the peculiarities of the European version ISCO-88 (COM), which is used for coding of an occupation variable in international and domestic projects. Besides, attention is paid to the occupational classification used in the Soviet period and to the modern national occupational classifications of Ukraine and Russia developed on the basis of ISCO-88. The author also describes conceptual frame work of ISCO-88 and, in particular, the basic concepts and the classification structure, four levels of the aggregation scheme, major groups and skill levels. In addition, the article includes description of the main distinctions between different versions of the occupational classification (known as ISCO-58, ISCO-68, ISCO-88 and ISCO-08). The article also describes the operationalization of key variables in respondents’ employment and skill level for occupational coding purposes; it also deals with coding rules and coding issues. Finally, the article discusses the arrangements to be made to maintain the quality of occupational coding in the Ukrainian data sets.