Structural Equation Models: A Review with Applications to Environmental Epidemiology

Details

• Personal Author:
  Budtz-Jorgensen E ; Hu H ; Ryan LM ; Sanchez BN
• Description:
  Structural equation models (SEMs) have been discussed extensively in the psychometrics and quantitative behavioral sciences literature. However, many statisticians and researchers in other areas of application are relatively unfamiliar with their implementation. Here we review some of the SEM literature and describe basic methods, using examples from environmental epidemiology. We make connections to recent work on latent variable models for multivariate outcomes and to measurement error methods, and discuss advantages and disadvantages of SEMs compared with traditional regressions. We give a detailed example in which two models fit the same data well, yet one is physi ologically implausible. This underscores the critical role of subject matter knowledge in the successful implementation of SEMs. A brief discussion on open research areas is included. [Description provided by NIOSH]
• Subjects:
  Epidemiology Occupational Health Safety
• Keywords:
  Author Keywords: Correlated Outcomes Latent Variable LISREL Model Measurement Error Models Multiple Testing Multivariate Data Statistical Analysis
• ISSN:
  0162-1459
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; OSHA Region 1
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  100
• Issue:
  472
• NIOSHTIC Number:
  nn:20059358
• Citation:
  J Am Stat Assoc 2005 Dec; 100(472):1443-1455
• Email:
  bsanchez@hsph.harvard.edu
• Federal Fiscal Year:
  2006
• Performing Organization:
  Harvard School of Public Health
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Journal of the American Statistical Association
• End Date:
  20280630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:23ea40fb4a8b7439f2be6016a4baf51b56cb24e4c0887a159c5cd7808afad4b1136240e1c70fd613c0ca8ddccba998fe45fc4ecef6b5060cebc3b234572e71f2
• Download URL:
  https://stacks.cdc.gov/view/cdc/223618/cdc_223618_DS1.pdf
• File Type:
  [PDF - 2.14 MB ]