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Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient?

Efforts for drug free sport include developing a better understanding of the behavioural determinants that underline doping with an increased interest in developing anti-doping prevention and intervention programmes. Empirical testing of both is dominated by self-report questionnaires, which is the...

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Autores principales: Petróczi, Andrea, Nepusz, Tamás
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037907/
https://www.ncbi.nlm.nih.gov/pubmed/21244663
http://dx.doi.org/10.1186/1747-597X-6-1
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author Petróczi, Andrea
Nepusz, Tamás
author_facet Petróczi, Andrea
Nepusz, Tamás
author_sort Petróczi, Andrea
collection PubMed
description Efforts for drug free sport include developing a better understanding of the behavioural determinants that underline doping with an increased interest in developing anti-doping prevention and intervention programmes. Empirical testing of both is dominated by self-report questionnaires, which is the most widely used method in psychological assessments and sociology polls. Disturbingly, the potential distorting effect of socially desirable responding (SD) is seldom considered in doping research, or dismissed based on weak correlation between some SD measure and the variables of interest. The aim of this report is to draw attention to i) the potential distorting effect of SD and ii) the limitation of using correlation analysis between a SD measure and the individual measures. Models of doping opinion as a potentially contentious issue was tested using structural equation modeling technique (SEM) with and without the SD variable, on a dataset of 278 athletes, assessing the SD effect both at the i) indicator and ii) construct levels, as well as iii) testing SD as an independent variable affecting expressed doping opinion. Participants were categorised by their SD score into high- and low SD groups. Based on low correlation coefficients (<|0.22|) observed in the overall sample, SD effect on the indicator variables could be disregarded. Regression weights between predictors and the outcome variable varied between groups with high and low SD but despite the practically non-existing relationship between SD and predictors (<|0.11|) in the low SD group, both groups showed improved model fit with SD, independently. The results of this study clearly demonstrate the presence of SD effect and the inadequacy of the commonly used pairwise correlation to assess social desirability at model level. In the absence of direct observation of the target behaviour (i.e. doping use), evaluation of the effectiveness of future anti-doping campaign, along with empirical testing of refined doping behavioural models, will likely to continue to rely on self-reported information. Over and above controlling the effect of socially desirable responding in research that makes inferences based on self-reported information on social cognitive and behavioural measures, it is recommended that SD effect is appropriately assessed during data analysis.
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spelling pubmed-30379072011-02-12 Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient? Petróczi, Andrea Nepusz, Tamás Subst Abuse Treat Prev Policy Short Report Efforts for drug free sport include developing a better understanding of the behavioural determinants that underline doping with an increased interest in developing anti-doping prevention and intervention programmes. Empirical testing of both is dominated by self-report questionnaires, which is the most widely used method in psychological assessments and sociology polls. Disturbingly, the potential distorting effect of socially desirable responding (SD) is seldom considered in doping research, or dismissed based on weak correlation between some SD measure and the variables of interest. The aim of this report is to draw attention to i) the potential distorting effect of SD and ii) the limitation of using correlation analysis between a SD measure and the individual measures. Models of doping opinion as a potentially contentious issue was tested using structural equation modeling technique (SEM) with and without the SD variable, on a dataset of 278 athletes, assessing the SD effect both at the i) indicator and ii) construct levels, as well as iii) testing SD as an independent variable affecting expressed doping opinion. Participants were categorised by their SD score into high- and low SD groups. Based on low correlation coefficients (<|0.22|) observed in the overall sample, SD effect on the indicator variables could be disregarded. Regression weights between predictors and the outcome variable varied between groups with high and low SD but despite the practically non-existing relationship between SD and predictors (<|0.11|) in the low SD group, both groups showed improved model fit with SD, independently. The results of this study clearly demonstrate the presence of SD effect and the inadequacy of the commonly used pairwise correlation to assess social desirability at model level. In the absence of direct observation of the target behaviour (i.e. doping use), evaluation of the effectiveness of future anti-doping campaign, along with empirical testing of refined doping behavioural models, will likely to continue to rely on self-reported information. Over and above controlling the effect of socially desirable responding in research that makes inferences based on self-reported information on social cognitive and behavioural measures, it is recommended that SD effect is appropriately assessed during data analysis. BioMed Central 2011-01-18 /pmc/articles/PMC3037907/ /pubmed/21244663 http://dx.doi.org/10.1186/1747-597X-6-1 Text en Copyright ©2011 Petróczi and Nepusz; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Report
Petróczi, Andrea
Nepusz, Tamás
Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient?
title Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient?
title_full Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient?
title_fullStr Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient?
title_full_unstemmed Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient?
title_short Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient?
title_sort methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient?
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037907/
https://www.ncbi.nlm.nih.gov/pubmed/21244663
http://dx.doi.org/10.1186/1747-597X-6-1
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