Linked Life Data

20804271

Source:http://linkedlifedata.com/resource/pubmed/id/20804271

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2010-8-31
pubmed:abstractText
OBJECTIVE: There has been a general increase in interest and use of modeling techniques that treat data as nested, whether it is people nested within larger units, such as families or treatment centers, or observations nested under people. The popularity can be witnessed by noting the number of new textbooks and articles related to latent growth curve modeling and multilevel modeling. This paper discusses both of these techniques in the context of longitudinal research designs, with the main purposes of highlighting some benefits and issues related to the use of these models and outlining guidelines for reporting results from studies using multilevel modeling or latent growth modeling. IMPLICATIONS: These longitudinal analytic techniques can be greatly beneficial to researchers conducting rehabilitation studies, but there are several issues related to their use and reporting that need to be taken into consideration.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1939-1544
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
55
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
272-85
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Reporting results of latent growth modeling and multilevel modeling analyses: some recommendations for rehabilitation psychology.
pubmed:affiliation
Department of Psychology, 401 Sunset Avenue, University of Windsor, Windsor, ON, Canada. djackson@uwindsor.ca
pubmed:publicationType
Journal Article