Multilevel moderated mediation model with ordinal outcome

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10377871" target="_blank" >RIV/00216208:11320/18:10377871 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1002/sim.7605" target="_blank" >https://doi.org/10.1002/sim.7605</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/sim.7605" target="_blank" >10.1002/sim.7605</a>

Result language

angličtina

Original language name

Multilevel moderated mediation model with ordinal outcome

Original language description

Although increasingly complex models have been proposed in mediation literature, there is no model nor software that incorporates the multiple possible generalizations of the simple mediation model jointly. We propose a flexible moderated mediation model allowing for (1) ahierarchical structure of clustered data, (2) more and possibly correlated mediators, and (3) an ordinal outcome. The motivating data set is obtained from a European study in nursing research. Patients&apos; willingness to recommend their treating hospital was recorded in an ordinal way. The research question is whether such recommendation directly depends on system-level features in the organization of nursing care, or whether these associations are mediated by 2 measurements of nursing care left undone and possibly moderated by nurse education. We have developed a Bayesian approach and accompanying program that takes all the above generalizations into account.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10103 - Statistics and probability

Project

<a href="/en/project/GJ15-04774Y" target="_blank" >GJ15-04774Y: Using copulas for modelling dependency structure of variables in the presence of covariates</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Statistics in Medicine

ISSN

0277-6715

e-ISSN

—

Volume of the periodical

37

Issue of the periodical within the volume

10

Country of publishing house

GB - UNITED KINGDOM

Number of pages

21

Pages from-to

1650-1670

UT code for WoS article

000429730500005

EID of the result in the Scopus database

2-s2.0-85042191240