Date of Graduation

Fall 2021


Master of Science in Applied Behavior Analysis



Committee Chair

Michael Clayton


Social media is a widely used tool and the effects it has on well-being and productivity levels are well known. Due to widespread concern about the negative effects (e.g., addiction, reduced productivity, unhappiness) of social media there is increased interest in methods for reducing this behavior. Self-management techniques have shown great utility for managing behavior. The current study used a changing-criterion design with an embedded reversal to determine the effectiveness of a self-management treatment package on decreasing participant social media usage. The treatment package consisted of feedback, self-monitoring, goal setting, and a token economy. Results of the current study show that using self-management techniques may be an effective way to decrease social media use. All three participants showed decreased social media usage throughout the intervention and maintained that level of use two-weeks after treatment had ended.


self-management, social media, token economy, feedback, goal setting, self-monitoring

Subject Categories

Applied Behavior Analysis


© Olivia Joy Solari

Open Access