Related Experiment Video
Updated: Nov 8, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
Responsible product design to mitigate excessive gambling: A scoping review and z-curve analysis of replicability
William H B McAuliffe1, Timothy C Edson1,2, Eric R Louderback1
1Division on Addiction Cambridge Health Alliance, A Harvard Medical School Teaching Hospital, Malden, MA, United States of America.
Objectives:
Systematic mapping of evaluations of tools and interventions that are intended to mitigate risks for gambling harm.
Design:
Scoping Review and z-curve analysis (which estimates the average replicability of a body of literature).
Search Strategy:
We searched 7 databases. We also examined reference lists of included studies, as well as papers that cited included studies. Included studies described a quantitative empirical assessment of a game-based (i.e., intrinsic to a specific gambling product) structural feature, user-directed tool, or regulatory initiative to promote responsible gambling. At least two research assistants independently performed screening and extracted study characteristics (e.g., study design and sample size). One author extracted statistics for the z-curve analysis.
Results:
86 studies met inclusion criteria. No tools or interventions had unambiguous evidence of efficacy, but some show promise, such as within-session breaks in play. Pre-registration of research hypotheses, methods, and analytic plans was absent until 2019, reflecting a recent embracement of open science practices. Published studies also inconsistently reported effect sizes and power analyses. The results of z-curve provide some evidence of publication bias, and suggest that the replicability of the responsible product design literature is uncertain but could be low.
Conclusion:
Greater transparency and precision are paramount to improving the evidence base for responsible product design to mitigate gambling-related harm.
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Behavioral Genetics and Its Designs
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Genetic Screens
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...

