DOI: 10.1007/s11069-021-04563-6
论文题名: Methodological challenges to confirmatory latent variable models of social vulnerability
作者: Goodman Z.T. ; Stamatis C.A. ; Stoler J. ; Emrich C.T. ; Llabre M.M.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 106, 期: 3 起始页码: 2731
结束页码: 2749
语种: 英语
中文关键词: Evaluation
; Measurement
; Social indicators
; Social vulnerability
; SoVI
; Validity
; Vulnerability
英文关键词: factor analysis
; metropolitan area
; natural disaster
; numerical model
; power relations
; social indicator
; vulnerability
; Florida [United States]
; New York [New York (STT)]
; New York [United States]
; United States
; Florida
英文摘要: Socially vulnerable communities experience disproportionately negative outcomes following natural disasters and underscoring a need for well-validated measures to identify those at risk. However, questions have surfaced regarding the factor structure, internal consistency, and generalizability of social vulnerability measures. A reliance on data-driven techniques, which are susceptible to sample-specific characteristics, has likely exacerbated the difficulty generalizing social vulnerability measures across contexts. This study sought to validate previously published structures of SoVI using confirmatory factor analysis (CFA). We fit CFA models of 28 sociodemographic variables frequently used to calculate a commonly used measure, the social vulnerability index (SoVI), drawn from the American Community Survey across 4162 census tracts in Florida. Confirmatory models generally did not support theory-driven pillars of SoVI that were previously used to study vulnerability in the New York metropolitan area. Modified models and alternative SoVI factor structures also failed to fit the data. Many of the input variables displayed little to no variability, limiting their utility and explanatory power. Taken together, our results highlight the poor generalizability of SoVI across contexts, but raise several important considerations for reliability and validity, as well as issues related to source data and scale. We discuss the implications of these findings for improved theory-driven measurement of social vulnerability. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169044
Appears in Collections: 气候变化与战略
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作者单位: Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Office 446, Coral Gables, FL 33146-0751, United States; Department of Geography and Regional Studies, University of Miami, Coral Gables, FL, United States; Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States; College of Community Innovation and Education, University of Central Florida, Orlando, United States
Recommended Citation:
Goodman Z.T.,Stamatis C.A.,Stoler J.,et al. Methodological challenges to confirmatory latent variable models of social vulnerability[J]. Natural Hazards,2021-01-01,106(3)