对环境变化的人类维度的元分析方法的系统回顾和“元研究”

IF 0.8 4区 社会学 Q4 ENVIRONMENTAL STUDIES Human Ecology Review Pub Date : 2016-07-26 DOI:10.22459/HER.22.02.2016.05
Hua Qin, Mary Grigsby
{"title":"对环境变化的人类维度的元分析方法的系统回顾和“元研究”","authors":"Hua Qin, Mary Grigsby","doi":"10.22459/HER.22.02.2016.05","DOIUrl":null,"url":null,"abstract":"The human dimensions of environmental change across various spatial and temporal scales have formed a fast-growing field of study in the past decades. Given the large accumulation of scientific studies on this topic, a logical research question is whether we can draw out common patterns of causal relationships from this diverse body of literature. Meta-analysis provides a particularly useful tool for summarizing and integrating results across studies. Although there has been a growing number of meta-studies on the interrelationships between social and environmental changes, meta-analysis as a research strategy is still relatively underused in this field. Additionally, few studies have systematically examined the set of meta-analytical methods suitable to investigate relevant research questions. We used a meta-analysis framework to review and extract data on analytical approaches from 43 meta-studies published in selected peerreviewed environmental social science journals during 2000–2014. The analysis revealed general patterns of research topics and analysis procedures, as well as associations between study characteristics and specific meta-analytical methods. These findings contribute to a better understanding of the current use and further development of the meta-analysis strategy in interdisciplinary human dimensions research.","PeriodicalId":46896,"journal":{"name":"Human Ecology Review","volume":"22 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2016-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A systematic review and \\\"meta-study\\\" of meta-analytical approaches to the human dimensions of environmental change\",\"authors\":\"Hua Qin, Mary Grigsby\",\"doi\":\"10.22459/HER.22.02.2016.05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The human dimensions of environmental change across various spatial and temporal scales have formed a fast-growing field of study in the past decades. Given the large accumulation of scientific studies on this topic, a logical research question is whether we can draw out common patterns of causal relationships from this diverse body of literature. Meta-analysis provides a particularly useful tool for summarizing and integrating results across studies. Although there has been a growing number of meta-studies on the interrelationships between social and environmental changes, meta-analysis as a research strategy is still relatively underused in this field. Additionally, few studies have systematically examined the set of meta-analytical methods suitable to investigate relevant research questions. We used a meta-analysis framework to review and extract data on analytical approaches from 43 meta-studies published in selected peerreviewed environmental social science journals during 2000–2014. The analysis revealed general patterns of research topics and analysis procedures, as well as associations between study characteristics and specific meta-analytical methods. These findings contribute to a better understanding of the current use and further development of the meta-analysis strategy in interdisciplinary human dimensions research.\",\"PeriodicalId\":46896,\"journal\":{\"name\":\"Human Ecology Review\",\"volume\":\"22 1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2016-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Ecology Review\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.22459/HER.22.02.2016.05\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Ecology Review","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.22459/HER.22.02.2016.05","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 8

摘要

在过去的几十年里,环境变化的人类维度在不同时空尺度上形成了一个快速发展的研究领域。考虑到关于这个主题的科学研究的大量积累,一个合乎逻辑的研究问题是,我们是否可以从这些不同的文献中得出因果关系的共同模式。荟萃分析为总结和整合研究结果提供了一个特别有用的工具。虽然关于社会与环境变化之间相互关系的元研究越来越多,但元分析作为一种研究策略在这一领域的应用仍然相对不足。此外,很少有研究系统地考察了一套适合调查相关研究问题的元分析方法。我们使用荟萃分析框架对2000-2014年间发表在同行评议的环境社会科学期刊上的43项荟萃研究的分析方法进行了回顾和提取。分析揭示了研究主题和分析程序的一般模式,以及研究特征与特定元分析方法之间的关联。这些发现有助于更好地理解跨学科人文维度研究中元分析策略的当前使用和进一步发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A systematic review and "meta-study" of meta-analytical approaches to the human dimensions of environmental change
The human dimensions of environmental change across various spatial and temporal scales have formed a fast-growing field of study in the past decades. Given the large accumulation of scientific studies on this topic, a logical research question is whether we can draw out common patterns of causal relationships from this diverse body of literature. Meta-analysis provides a particularly useful tool for summarizing and integrating results across studies. Although there has been a growing number of meta-studies on the interrelationships between social and environmental changes, meta-analysis as a research strategy is still relatively underused in this field. Additionally, few studies have systematically examined the set of meta-analytical methods suitable to investigate relevant research questions. We used a meta-analysis framework to review and extract data on analytical approaches from 43 meta-studies published in selected peerreviewed environmental social science journals during 2000–2014. The analysis revealed general patterns of research topics and analysis procedures, as well as associations between study characteristics and specific meta-analytical methods. These findings contribute to a better understanding of the current use and further development of the meta-analysis strategy in interdisciplinary human dimensions research.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.90
自引率
0.00%
发文量
0
期刊介绍: Human Ecology Review (ISSN 1074-4827) is a refereed journal published twice a year by the Society for Human Ecology. The Journal publishes peer-reviewed research and theory on the interaction between humans and the environment and other links between culture and nature (Research in Human Ecology), essays and applications relevant to human ecology (Human Ecology Forum), book reviews (Contemporary Human Ecology), and relevant commentary, announcements, and awards (Human Ecology Bulletin).
期刊最新文献
Applicability of the Value–Belief–Norm Model to the Protection of Native Biodiversity in a District of Santiago, Chile Using Human Ecology and Feedback-Guided Analysis to Understand the Relationship Between Ecotourism and Poaching Association of Physical and Sociocultural Aspects of Adolescent Athletes with Sport Development: A Review Lyme Disease Risk Perceptions in New Hampshire, USA: Bridging Regression and Qualitative Comparative Analysis Influence of Socioeconomic Factors on the Knowledge of Medicinal Plants: A Case Study in the Truká Indigenous Population, Pernambuco, Brazil
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1