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P. Kinnear, C. Gray (1994)
SPSS For Windows Made Simple
Donald Bren, E. Tchetgen (2022)
Nonparametric Statistics for the Behavioral SciencesThe SAGE Encyclopedia of Research Design
D. Child (1970)
The essentials of factor analysis
DTLR
Decent Home: The Definition and Guidance for Measurement. Capturing the Standard at Local Level. (A Supplementary Annex to Collecting, Managing and Using Housing Stock Information – A Good Practice Guide)
DoE
Attitudes to Home Ownership: Housing Research Summary, No 76
A. Bryman, D. Cramer
Quantitative Data Analysis with SPSS Release 8 for Windows. A Guide for Social Scientists
Rs Forrest, P. Leather, C. Pantazis (1996)
Home ownership in old age: the future of owner occupation in an ageing society
J. Overall, C. Klett (1983)
Applied multivariate analysis
DETR
English House Condition Survey, Part 2 Report on the Interview and Local Authority Survey
J. Kangwa, JFemi Olubodun (2003)
An investigation into home owner maintenance awareness, management and skill‐knowledge enhancing attributesStructural Survey, 21
P. Kline (1987)
Factor analysis and personality theoryEuropean Journal of Personality, 1
H. Kaiser (1974)
An index of factorial simplicityPsychometrika, 39
J. Doling
Owner occupation, house condition and government subsidies
F. Olubodun (2000)
A factor approach to the analysis of components’ defects in housing stockStructural Survey, 18
C. Egbu, B. Young, V. Torrance (1998)
Planning and control processes and techniques for refurbishment managementConstruction Management and Economics, 16
M. Smithson (1989)
Ignorance and Uncertainty
M. Tress (1985)
SPSS-X advanced statistics guide
B. Tabachnick, L. Fidell (1983)
Using Multivariate Statistics
A. Bryman, D. Cramer (1997)
Quantitative Data Analysis with SPSS for Windows: A Guide for Social Scientists
DETR
Bringing Britain Together: A National Strategy for Neighbourhood Renewal, Social Exclusion Unit (SEU)
This paper seeks to explore and detect underlying relationships between identifiable attributes that are influential to successful outcomes of home maintenance activities. The study's approach is to identify, from the perspective of owner‐occupiers, the attributes that are influential on the successful outcomes of home maintenance activities. The study is primarily based on 186 questionnaire responses from a stratified random sample of owner‐occupiers taken from 12 local authority wards identified on the basis of a Ward Index of Multiple Deprivation. The intercorrelations among the attributes influential to the outcomes of home maintenance activities demanded the application of principal component analysis to determine the factors perceived to dictate home maintenance outcomes. This resulted in the extraction of nine significant factors, which combine to exert their influence on the quality of the maintenance activities in the owner‐occupied sector.
Structural Survey – Emerald Publishing
Published: Oct 1, 2003
Keywords: Decision making; Maintenance; Factor analysis
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