Addressing Disaster Exposure Measurement Issues With Latent Class Analysis
Abstract
Disaster exposure can put survivors at greater risk for subsequent mental health (MH) problems. Within the field of disaster MH research, it is important to understand how the choice of analytic approaches and their implicit assumptions may affect results when using a disaster exposure measure. We compared different analytic strategies for quantifying disaster exposure and included a new analytic approach, latent class analysis (LCA), in a...
Paper Details
Title
Addressing Disaster Exposure Measurement Issues With Latent Class Analysis
Published Date
Jan 30, 2019
Journal
Volume
32
Issue
1
Pages
56 - 66
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History