Linked Life Data

17206467

Source:http://linkedlifedata.com/resource/pubmed/id/17206467

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2007-6-6
pubmed:abstractText
Web-questionnaires are an important tool for future epidemiological research because these allow for rapid and cost-efficient assembly of self-reported information on risk factors and health outcomes. However, to achieve high response rates it is essential to accommodate factors that prevent drop out and so insure validity of future studies. We aim to study how socio-demographic variables as well as design issues such as the ordering and level of difficulty (Easy-to-hard vs. Hard-to-easy) of questions in a web-questionnaire affects the probability of drop out and non-response.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0393-2990
pubmed:author
pubmed:issnType
Print
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
293-300
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Optimizing the design of web-based questionnaires--experience from a population-based study among 50,000 women.
pubmed:affiliation
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, SE-171 77, Stockholm, Sweden. Alexandra.ekman@ki.se
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't