{"title":"Methodological aspects of generational differentiation: on the example of determining nutritional attitudes of Russian millennials","authors":"E. Tkachenko","doi":"10.19181/4m.2021.52.2","DOIUrl":null,"url":null,"abstract":"The article is devoted to the description of the original method of generational differences analysis. This method is called the maximum differentiation scheme. With the help of the scheme we investigated unique trends in the millennial generation (born 1982–2000), which were observed neither in the entire sample nor in the other two generations for three types of data collection methods (cross-sectional analysis, analysis of temporal changes and long-term analysis). To satisfy the mechanics of the scheme, in addition to millennials, the Soviet generation (born 1947–1967) and the reform generation (born 1968–1981) were used for systematic comparisons. The research was conducted using data from the Russian Target Group Index. Thanks to the scheme, the author showed that only the statement “I prefer vegetarian food” can be considered a truly characteristic attitude of millennials. However, the scheme has two important limitations: 1) it is not sensitive to trends that are not unique to a particular generation; 2) the scheme cannot be used as the only type of analysis and needs additional methodological procedures. Taking into account these limitations, the maximum differentiation scheme can be useful both as a unique type of preliminary analysis of generational differences, and included in a broader approach to working with age and period effects.","PeriodicalId":271863,"journal":{"name":"Sociology: methodology, methods, mathematical modeling (Sociology: 4M)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sociology: methodology, methods, mathematical modeling (Sociology: 4M)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19181/4m.2021.52.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article is devoted to the description of the original method of generational differences analysis. This method is called the maximum differentiation scheme. With the help of the scheme we investigated unique trends in the millennial generation (born 1982–2000), which were observed neither in the entire sample nor in the other two generations for three types of data collection methods (cross-sectional analysis, analysis of temporal changes and long-term analysis). To satisfy the mechanics of the scheme, in addition to millennials, the Soviet generation (born 1947–1967) and the reform generation (born 1968–1981) were used for systematic comparisons. The research was conducted using data from the Russian Target Group Index. Thanks to the scheme, the author showed that only the statement “I prefer vegetarian food” can be considered a truly characteristic attitude of millennials. However, the scheme has two important limitations: 1) it is not sensitive to trends that are not unique to a particular generation; 2) the scheme cannot be used as the only type of analysis and needs additional methodological procedures. Taking into account these limitations, the maximum differentiation scheme can be useful both as a unique type of preliminary analysis of generational differences, and included in a broader approach to working with age and period effects.
本文对代际差异分析的原始方法进行了描述。这种方法称为最大微分格式。在该方案的帮助下,我们研究了千禧一代(1982-2000年出生)的独特趋势,这些趋势既没有在整个样本中观察到,也没有在其他两代人中观察到,采用了三种类型的数据收集方法(横断面分析、时间变化分析和长期分析)。为了满足该方案的机制,除了千禧一代,苏联一代(生于1947-1967年)和改革一代(生于1968-1981年)被用于系统比较。这项研究使用了俄罗斯目标群体指数(Russian Target Group Index)的数据。通过这个方案,作者证明了只有“我更喜欢素食”这句话才能被认为是千禧一代真正具有特色的态度。然而,该方案有两个重要的局限性:1)它对非特定世代独有的趋势不敏感;2)该方案不能作为唯一的分析类型,需要额外的方法学程序。考虑到这些限制,最大差异方案既可以作为代际差异的一种独特的初步分析,也可以纳入研究年龄和时期影响的更广泛的方法。