Linked Life Data

3726012

Source:http://linkedlifedata.com/resource/pubmed/id/3726012

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1986-8-18
pubmed:abstractText
Latent trait modelling is a recent psychometric technique with great potential for the construction and refinement of psychiatric instruments. It provides a greater insight into the nature of measurement in psychiatry and the statistical machinery for improving it. This expository paper starts with a non-technical outline of the latent trait model, gives a detailed analysis of the 12-item General Health Questionnaire (GHQ) and examines points raised by the empirical analysis through computer stimulation. It is shown that the latent trait model can give a good representation of empirical data and uncover new aspects of a familiar instrument. It provides a precise methodology for evaluating the functioning of a questionnaire and for developing better short instruments. It highlights the need, and provides the means, to tailor instruments for different tasks, such as (a) screening, and (b) measuring over the whole range of the population. We examine scoring in the light of the model, and show that simple scoring is often adequate. While points for further methodological development are noted, it is argued that the method is already sufficiently developed for general application.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0033-2917
pubmed:author
pubmed:issnType
Print
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
391-405
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1986
pubmed:articleTitle
The utility of latent trait models in psychiatric epidemiology.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't