@article{273c66c307aa40ed9b74729150cbfca2,
title = "Relation between age, education, and time to respond to questions in a computer-based medical interview",
abstract = "The time required for 458 women volunteers to respond to questions in a computer-based medical interview was related both to their age and to their formal education. When the analysis was restricted to the 220 women with a college degree, older women responded more slowly than their younger counterparts, and when the analysis was restricted to the 265 women between 18 and 30 years of age, women with less formal education took longer to respond. By contrast, the time required for the volunteers to record their responses was related only to age.",
author = "Slack, {Warner V.} and Alan Leviton and Bennett, {Susan E.} and Fleischmann, {Katharine H.} and Lawrence, {Robert S.}",
note = "Funding Information: This work was supported in part by Grant LM 03393 from the National Library of Medicine, United States Public Health Service. We are indebted to Dr. Douglas Porter, Ms. Elaine M. Bianco, Mr. Daniel E. Geer, and Dr. John W. Melski for their help with the retrieval and analysis of the data, to Ms. Lisa H. Underhill for her editorial assistance, to Dr. Michael Feldstein for his statistical consultation, to Dr. William Milberg for his help with the manuscript, and to Ms. Carolyn S. Gifford and the women who volunteered to participate in the study for their help with the interview.",
year = "1988",
month = feb,
doi = "10.1016/0010-4809(88)90044-4",
language = "English (US)",
volume = "21",
pages = "78--84",
journal = "Computers and Biomedical Research",
issn = "0010-4809",
publisher = "Academic Press Inc.",
number = "1",
}