Web-Based Enrollment and Other Types of Self-Selection in Surveys and Studies: Consequences for Generalizability
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Web-Based Enrollment and Other Types of Self-Selection in Surveys and Studies : Consequences for Generalizability. / Keiding, Niels; Louis, Thomas A.
I: Annual Review of Statistics and Its Application, Bind 5, 2018, s. 25-47.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Web-Based Enrollment and Other Types of Self-Selection in Surveys and Studies
T2 - Consequences for Generalizability
AU - Keiding, Niels
AU - Louis, Thomas A.
PY - 2018
Y1 - 2018
N2 - Web-based enrollment in surveys and studies is increasingly attractive as the Internet is approaching near-universal coverage and the attitude of respondents toward participation in classical modes of study deteriorates. Follow-up is also facilitated by the web-based approach. However, the consequent self-selection raises the question of the importance of representativity when attempting to generalize the results of a study beyond the context in which they were obtained, particularly under effect heterogeneity. Our review is divided into three main components: first, sample surveys or prevalence studies, assessing the frequency or prevalence of some attitude or disease condition in a population from its frequency in a sample from this population; second, generalization of the results from randomized trials to the population in which they were performed and to other populations; and third, generalization of results from observational studies.
AB - Web-based enrollment in surveys and studies is increasingly attractive as the Internet is approaching near-universal coverage and the attitude of respondents toward participation in classical modes of study deteriorates. Follow-up is also facilitated by the web-based approach. However, the consequent self-selection raises the question of the importance of representativity when attempting to generalize the results of a study beyond the context in which they were obtained, particularly under effect heterogeneity. Our review is divided into three main components: first, sample surveys or prevalence studies, assessing the frequency or prevalence of some attitude or disease condition in a population from its frequency in a sample from this population; second, generalization of the results from randomized trials to the population in which they were performed and to other populations; and third, generalization of results from observational studies.
U2 - 10.1146/annurev-statistics-031017-100127
DO - 10.1146/annurev-statistics-031017-100127
M3 - Journal article
VL - 5
SP - 25
EP - 47
JO - Annual Review of Statistics and Its Application
JF - Annual Review of Statistics and Its Application
SN - 2326-8298
ER -
ID: 198715564