A Comparison of Item Non-Response in Web and Pen-and-Paper Surveys of Sexual Behaviour
Author(s) -
Alison Evans,
Jonathan Elford,
Graham Bolding,
Richard D. Wiggins
Publication year - 2008
Publication title -
methodological innovations online
Language(s) - English
Resource type - Journals
ISSN - 1748-0612
DOI - 10.4256/mio.2008.0002
Subject(s) - summative assessment , sample (material) , multivariate statistics , psychology , multivariate analysis , population , computer science , statistics , applied psychology , demography , sociology , mathematics , mathematics education , chemistry , chromatography , formative assessment
Excluding respondents who fail to answer a question will reduce effective sample size. This weakens statistical power and creates problems for the creation of summative indicators, the analysis of multi-item scales and the application of multivariate techniques (Dickinson & Kirzner 1985). When item nonresponders differ systematically from responders on the variables of interest, item non-response will also lead to biased population estimates (Kupek 1999). One of the major goals of any survey design is therefore to minimise item non-response.
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