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

34Citations
Citations of this article
66Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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 easures. 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 (

Cite

CITATION STYLE

APA

Petróczi, A., & Nepusz, T. (2011). Methodological considerations regarding response bias effect in substance use research: Is correlation between the measured variables sufficient? Substance Abuse: Treatment, Prevention, and Policy, 6(1). https://doi.org/10.1186/1747-597X-6-1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free