Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Vision
Article type: Research Article
Authors: Clements, Ben | Douglas, Graeme | Pavey, Sue
Affiliations: Department of Politics and International Relations, University of Leicester, Leicester, UK | Visual Impairment Centre for Teaching and Research, School of Education University of Birmingham, Edgbaston, Birmingham, UK
Note: [] Address for correspondence: Graeme Douglas, Visual Impairment Centre for Teaching and Research, School of Education, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK. Tel.: +44 121 414 6736; E-mail: g.g.a.douglas@bham.ac.uk
Abstract: Objectives: To analyze which factors affect the probability of people registered as blind and visually impaired in Britain being in paid employment. Participants: Consist of 559 registered individuals of working age with a visual impairment. This sub-sample is drawn from the first wave of a larger, nationally-representative survey of adults who are blind and visually impaired in Britain. Methods: After examining descriptive statistics for employment status and key analysis variables, a multivariate analysis is undertaken to assess the relative impact of: demographic and household characteristics, socio-economic status, aspects of visual impairment, including severity and age of onset, and presence of additional disabilities. Results: Educational attainment, housing tenure, registration status (as blind or visually impaired) and having additional disabilities have the strongest impact on the likelihood of an individual registered as visually impaired being in work. Conclusions: The findings underline the need to examine the varying labor market experiences of groups with different types of disability and the importance of assessing the individual effects of severity of visual impairment, age of onset, and presence of additional disabilities.
Keywords: Individuals with visual impairment, economic disadvantage, survey research, logistic regression analysis, Network 1000 project
DOI: 10.3233/WOR-2011-1147
Journal: Work, vol. 39, no. 1, pp. 21-30, 2011
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl