| pubmed-article:17206467 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:17206467 | lifeskim:mentions | umls-concept:C0043210 | lld:lifeskim |
| pubmed-article:17206467 | lifeskim:mentions | umls-concept:C2603343 | lld:lifeskim |
| pubmed-article:17206467 | lifeskim:mentions | umls-concept:C1707689 | lld:lifeskim |
| pubmed-article:17206467 | pubmed:issue | 5 | lld:pubmed |
| pubmed-article:17206467 | pubmed:dateCreated | 2007-6-6 | lld:pubmed |
| pubmed-article:17206467 | 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. | lld:pubmed |
| pubmed-article:17206467 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17206467 | pubmed:language | eng | lld:pubmed |
| pubmed-article:17206467 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17206467 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:17206467 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:17206467 | pubmed:issn | 0393-2990 | lld:pubmed |
| pubmed-article:17206467 | pubmed:author | pubmed-author:AdamiHans-Olo... | lld:pubmed |
| pubmed-article:17206467 | pubmed:author | pubmed-author:DickmanPaul... | lld:pubmed |
| pubmed-article:17206467 | pubmed:author | pubmed-author:LittonJan-Eri... | lld:pubmed |
| pubmed-article:17206467 | pubmed:author | pubmed-author:EkmanAlexandr... | lld:pubmed |
| pubmed-article:17206467 | pubmed:author | pubmed-author:KlintAsaA | lld:pubmed |
| pubmed-article:17206467 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:17206467 | pubmed:volume | 22 | lld:pubmed |
| pubmed-article:17206467 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:17206467 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:17206467 | pubmed:pagination | 293-300 | lld:pubmed |
| pubmed-article:17206467 | pubmed:meshHeading | pubmed-meshheading:17206467... | lld:pubmed |
| pubmed-article:17206467 | pubmed:meshHeading | pubmed-meshheading:17206467... | lld:pubmed |
| pubmed-article:17206467 | pubmed:meshHeading | pubmed-meshheading:17206467... | lld:pubmed |
| pubmed-article:17206467 | pubmed:meshHeading | pubmed-meshheading:17206467... | lld:pubmed |
| pubmed-article:17206467 | pubmed:meshHeading | pubmed-meshheading:17206467... | lld:pubmed |
| pubmed-article:17206467 | pubmed:meshHeading | pubmed-meshheading:17206467... | lld:pubmed |
| pubmed-article:17206467 | pubmed:meshHeading | pubmed-meshheading:17206467... | lld:pubmed |
| pubmed-article:17206467 | pubmed:meshHeading | pubmed-meshheading:17206467... | lld:pubmed |
| pubmed-article:17206467 | pubmed:meshHeading | pubmed-meshheading:17206467... | lld:pubmed |
| pubmed-article:17206467 | pubmed:year | 2007 | lld:pubmed |
| pubmed-article:17206467 | pubmed:articleTitle | Optimizing the design of web-based questionnaires--experience from a population-based study among 50,000 women. | lld:pubmed |
| pubmed-article:17206467 | pubmed:affiliation | Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, SE-171 77, Stockholm, Sweden. Alexandra.ekman@ki.se | lld:pubmed |
| pubmed-article:17206467 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:17206467 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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