logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Structural Equation Modeling for Health and Medicine by Douglas Gunzler, Adam T. Perzynski, Adam C. Carle ISBN 9781138574250, 1138574252

  • SKU: EBN-33711870
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.4

41 reviews
Instant download (eBook) Structural Equation Modeling for Health and Medicine after payment.
Authors:Douglas Gunzler, Adam T. Perzynski, Adam C. Carle
Pages:320 pages.
Year:2021
Editon:1
Publisher:CRC Press
Language:english
File Size:10.45 MB
Format:pdf
ISBNS:9781138574250, 1138574252
Categories: Ebooks

Product desciption

(Ebook) Structural Equation Modeling for Health and Medicine by Douglas Gunzler, Adam T. Perzynski, Adam C. Carle ISBN 9781138574250, 1138574252

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEMare in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products