Purpose: This scoping review aims to investigate the current utilization of a QuantCrit approach within educational research. Design/methodology/approach: The research follows the methodological framework proposed by Arksey and O'Malley (2005), employing comprehensive search criteria across various databases to select 24 relevant studies for analysis. Findings: The analysis of the selected studies underscores the focus of QuantCrit in education, primarily addressing educational inequities related to race, gender and socioeconomic status across K-16 education levels. The methodologies used in the studies ranged from basic descriptive statistics to more advanced techniques like multilevel models and correlational analyses. The significant influence of Gillborn et al.'s (2018) tenets of QuantCrit is evident, although some studies incorporated these tenets without direct citation. Limitations identified include the hindrance in data disaggregation across racial groups due to limited sample sizes, the correlational nature of the studies and the complexity of variables. Research limitations/implications: The findings highlight the need for more comprehensive investigations in the application of QuantCrit within educational research. Future research should address the limitations identified, focusing on increasing sample sizes, incorporating diverse methodologies and exploring variables more deeply. Practical implications: The review suggests that future educational research should pay more attention to the intricate application of QuantCrit principles, particularly in addressing educational disparities related to race, gender and socioeconomic status across different education levels. Originality/value: This scoping review provides valuable insights into the multifaceted application of the QuantCrit approach in educational research and points to the need for comprehensive and nuanced investigations in this domain. The value of the paper lies in its contribution to understanding the role of QuantCrit in addressing educational inequalities and providing a roadmap for future research in this area.