{"title":"诺兰索引计算列表相似度的 R 程序","authors":"Michael C. Robbins, Zhuping (Zoe) Li","doi":"10.1177/1525822x241252220","DOIUrl":null,"url":null,"abstract":"The Nolan Index (NI) is a normed, quantitative measure for comparing the degree of resemblance (similarity or dissimilarity) between free listings with an Excel program for calculating it. This article enhances that effort with the addition of an R program and additional applications. Free-list resemblance measures have been used to investigate and compare historical and cultural connections, ecological relationships, cultural item utilities, practices, knowledge, and values both within and between various groups. Their utility for cultural domain analysis and the theory of cognitive cultural models is also considered.","PeriodicalId":48060,"journal":{"name":"Field Methods","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Nolan Index: An R Program for Calculating List Resemblances\",\"authors\":\"Michael C. Robbins, Zhuping (Zoe) Li\",\"doi\":\"10.1177/1525822x241252220\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Nolan Index (NI) is a normed, quantitative measure for comparing the degree of resemblance (similarity or dissimilarity) between free listings with an Excel program for calculating it. This article enhances that effort with the addition of an R program and additional applications. Free-list resemblance measures have been used to investigate and compare historical and cultural connections, ecological relationships, cultural item utilities, practices, knowledge, and values both within and between various groups. Their utility for cultural domain analysis and the theory of cognitive cultural models is also considered.\",\"PeriodicalId\":48060,\"journal\":{\"name\":\"Field Methods\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Field Methods\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/1525822x241252220\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Field Methods","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/1525822x241252220","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
诺兰指数（Nolan Index，NI）是一种标准化的定量测量方法，用于比较免费列表之间的相似程度（相似性或不相似性），并附有一个 Excel 计算程序。本文增加了一个 R 程序和其他应用，进一步加强了这一功能。自由列表相似度测量方法已被用于研究和比较不同群体内部和群体之间的历史和文化联系、生态关系、文化项目效用、习俗、知识和价值观。此外，还考虑了它们在文化领域分析和认知文化模型理论方面的实用性。
The Nolan Index: An R Program for Calculating List Resemblances
The Nolan Index (NI) is a normed, quantitative measure for comparing the degree of resemblance (similarity or dissimilarity) between free listings with an Excel program for calculating it. This article enhances that effort with the addition of an R program and additional applications. Free-list resemblance measures have been used to investigate and compare historical and cultural connections, ecological relationships, cultural item utilities, practices, knowledge, and values both within and between various groups. Their utility for cultural domain analysis and the theory of cognitive cultural models is also considered.
期刊介绍：
Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
