Linked Life Data

10365866

Source:http://linkedlifedata.com/resource/pubmed/id/10365866

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1999-7-7
pubmed:abstractText
Researchers often present and interpret empirical findings with reference to hypothetical constructs and diagnostic labels. Such interpretations commonly are based upon "summary" scores obtained through interview, self-report, or rating-scale assessment instruments. Although there are advantages associated with communicating empirical findings through analysis with summary scores, there also are weaknesses that may limit the interpretability of empirical findings and impede theory development. We discuss the importance of item analysis as a tool that may guide presentation of empirical findings, and we describe how it may be used to minimize these limitations of assessment, facilitate data interpretation, and increase the opportunity for theoretical advances.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0005-7916
pubmed:author
pubmed:issnType
Print
pubmed:volume
30
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
63-9
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Using item analysis to facilitate interpretation of empirical findings.
pubmed:affiliation
Department of Psychology, West Virginia University, Morgantown 26506-6040, USA. kruggier@wvu.edu
pubmed:publicationType
Journal Article