Related Experiment Video
Updated: Dec 13, 2025

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
Examining Change in Self-Reported Gambling Measures Over Time as Related to Socially Desirable Responding Bias
Christina Schell1, Alexandra Godinho1, John A Cunningham2,3,4
1Institute of Mental Health and Policy Research, Centre for Addiction and Mental Health, 33 Russell St., Toronto, ON, M5S 2S1, Canada.
Abstract:
Socially desirable responding is a response bias that can affect the accuracy of self-reports. It is especially likely when questions address sensitive topics, such as gambling attitudes, problems and behaviours. A sample of 321 participants were recruited from Amazon's mTurk crowdsourcing platform for a randomized controlled trial investigating an online gambling intervention. Data from this study was used to examine the influence of socially desirable responding on gambling self-report measures over time. At baseline, self-deception (SD), a factor of socially desirable responding, was significantly higher among males than females and among those with household incomes greater than $20,000 per year. Controlling for demographic variability, mixed effects models examining the relationship between socially desirable responding factors [SD and impression management (IM)] and time were conducted. Among males, there were significant interactions between IM with the NORC DSM-IV screen for gambling problems (NODS) and the gambling symptom assessment scale (G-SAS) scores respectively, over time. In other words, males with higher IM scores, demonstrated less change in NODS and G-SAS scores from baseline to 6-month follow-up compared to males with lower IM scores. There were no significant interactions in any models among females or among the full sample. Controlling the well-documented effect of socially desirable responding on self-reported measures in addictions research should be considered as a method to help reduce error and improve validity. Future research should continue to examine the effect of this bias on gambling measures over time and in each gender.Trial registration: https://ClinicalTrials.gov/NCT03124589 , registered 19 January 2017.
Related Concept Videos
Self-Presentation: Self-Monitoring and Self-Handicapping
Self-Serving Bias
Strategies of Self-Presentation III: Self-Monitoring
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Self-Discrepancy Theory
Strategies of Self-Presentation II: Self-Verification

