婚姻满意度的社会学视角:测量能力

Lesya Zolotnyik
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引用次数: 0

摘要

这篇文章致力于展示社会学在衡量家庭生活某些方面的能力。对人类活动不同方面的研究一直是各科学领域激烈争论的主题。社会学也不例外。大多数情况下,社会科学家研究人类活动是为了预测社会行为并建立这些过程的模型。此外,制定激励计划,以适当的方式刺激某些指标的增长或下降,近年来受到欢迎。这篇文章的重点是作为人类活动的一种形式的交配行为,使用婚姻满意度的概念作为经验参考。作者认为婚姻满意度是家庭情结研究的一个基本组成部分,并建议研究用于调查这一领域的基本社会学方法。为了更好地理解交配行为,作者触及了使用李克特量表的态度测量问题,展示了R. udry社会学测试的思想,描述了Whitfield的R.“利他主义金字塔”,说明了Zeke Rubin开发的爱和同情量表,并在本文中提到了苏联研究家庭作为社会制度的研究人员。科学技术的进步也有助于测量技术的发展。本文也介绍了这种测量方法。开发数据挖掘的想法被作者定位为无主观性分析发展的重要一步。本文的结论强调了使用多种方法进行代表性研究的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Sociological View on Marital Satisfaction: Measuring Capabilities
This article is devoted to demonstrating the capabilities of sociology in the measuring of certain aspects of family life. The study of different aspects of human activity has always been the subject of heated debates across various sciences. Sociology is not an exception. Most often, social scientists study human activity in order to predict social behavior and to build models of these processes. Also, the development of incentive programs which stimulate the growth or the decline of certain indicators in a proper manner has gained popularity in recent times. In the spotlight of this article is mating behavior as one form of human activity, using the concept of marital satisfaction as an empirical referent. The author considers marital satisfaction as a fundamental component of the family-complex study, and proposes to examine the basic sociological methods that are used to investigate this area. For a better understanding of mating behavior, the author touches upon the problems of attitude-measuring in the use of Likert scale, demonstrates ideas of the R.Udry sociological test, describesthe Whitfield’s R. «altruistic pyramid», illustratesthe scale of love and sympathy, developed by Zeke Rubin, and the Soviet researchers of family as a social institution are also mentioned in this article. Scientific and technological progress also helps in the development of measurement techniques. This kind of measuring procedure is also represented in this article. The idea of ​​developing Data Mining is positioned by the author as a major step in the development of analysis without subjectivity. The conclusion to this article highlights the importance of using multiple methods for a representative study.
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