Linked Life Data

7722989

Source:http://linkedlifedata.com/resource/pubmed/id/7722989

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
1995-5-23
pubmed:abstractText
Clinical trials, particularly those in addictions research, often rely on self-report data for primary dependent variables, and it is imperative to evaluate and to minimize both random and systematic error. This article describes methods for enhancing and assessing reliability of measurement in multisite clinical research. It begins with an overview of the two major approaches to evaluating the reliability of psychiatric diagnosis and verbal self-reports. A model of the interview process is then described, and the major sources of inconsistency that arise in the data collection process are identified. Based on the model, staff selection criteria, training techniques and quality assurance procedures are recommended for enhancing the reliability of interview assessments, and a research design appropriate for evaluating reliability in multisite clinical investigations is proposed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0363-468X
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
130-6
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
1994
pubmed:articleTitle
Reliability enhancement and estimation in multisite clinical trials.
pubmed:affiliation
Department of Psychiatry, University of Connecticut Health Center, Farmington 06030-1410.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Review