This research-in-progress paper examines stereotypes that can arise from gender analysis in technology acceptance research. We argue that such research often adopts dimorphic or deterministic perspectives on gender, which can reinforce gender stereotypes. Consequentially, we propose three principles to avoid fostering gender stereotypes in quantitative gender analysis. Those principles are based on a targeted review of technology acceptance studies, focusing on how gender is theorized, measured, and discussed in these articles. In future work, we aim to conduct a comprehensive review of the use of gender as a variable in technology research, providing evidence to support our principles and offering recommendations for avoiding harmful stereotyping in this field.