skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour

Quality & quantity, 2018-07, Vol.52 (4), p.1957-1976 [Peer Reviewed Journal]

The Author(s) 2017 ;COPYRIGHT 2018 Springer ;Quality & Quantity is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0033-5177 ;EISSN: 1573-7845 ;DOI: 10.1007/s11135-017-0584-6 ;PMID: 29937587

Full text available

Citations Cited by
  • Title:
    Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour
  • Author: Johnston, Ron ; Jones, Kelvyn ; Manley, David
  • Subjects: Environmental aspects ; Individual differences ; Intergenerational relationships ; Methodology of the Social Sciences ; Parameters ; Quantitative analysis ; Regression analysis ; Social Sciences ; Studies ; Voter behavior ; Voting
  • Is Part Of: Quality & quantity, 2018-07, Vol.52 (4), p.1957-1976
  • Description: Many ecological- and individual-level analyses of voting behaviour use multiple regressions with a considerable number of independent variables but few discussions of their results pay any attention to the potential impact of inter-relationships among those independent variables—do they confound the regression parameters and hence their interpretation? Three empirical examples are deployed to address that question, with results which suggest considerable problems. Inter-relationships between variables, even if not approaching high collinearity, can have a substantial impact on regression model results and how they are interpreted in the light of prior expectations. Confounded relationships could be the norm and interpretations open to doubt, unless considerable care is applied in the analyses and an extended principal components method for doing that is introduced and exemplified.
  • Publisher: Dordrecht: Springer Netherlands
  • Language: English
  • Identifier: ISSN: 0033-5177
    EISSN: 1573-7845
    DOI: 10.1007/s11135-017-0584-6
    PMID: 29937587
  • Source: ProQuest One Psychology
    Springer OA刊
    ProQuest Central
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait