Self-selection biases in correlational studies based on questionnaires
type: Item
instance of: scholarly article
title: Self-selection biases in correlational studies based on questionnaires
zbMATH Open document ID: 0601.62136
DOI: 10.1007/BF02293987
author: Roger J. Bowden
published in: Psychometrika
publication date: 1986-01-01T00:00:00Z
review text: It is commonly held that even where questionnaire response is poor, correlational studies are affected only by loss of degrees of freedom or precision. We show that this supposition is not true. If the decision to respond is correlated with a substantive variable of interest, then regression or analysis of variance methods based upon the questionnaire results may be adversely affected by self-selection bias. Moreover such bias may arise even where response is 100 \%. The problem in both cases arises where selection information is passed to the score indirectly via the disturbance or individual effects, rather than entirely via the observable explanatory variables. We suggest tests for the ensuing self-selection bias and possible ways of handling the ensuing problems of inference.
Mathematics Subject Classification ID: 62P15
Mathematics Subject Classification ID: 62P25
Mathematics Subject Classification ID: 62D05
zbMATH DE Number: 3969974
zbMATH Keywords: sample surveys
zbMATH Keywords: correlation
zbMATH Keywords: Lawley selection theorem
zbMATH Keywords: questionnaire
zbMATH Keywords: analysis of variance methods
zbMATH Keywords: self-selection bias
MaRDI profile type: Publication
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full work available at URL: https://doi.org/10.1007/bf02293987
OpenAlex ID: W2041480320
description: scientific article; zbMATH DE number 3969974