This study investigates potential biases in data collected through online paid platforms, specifically Prolific, compared to traditional snowball convenience sampling, when studying psychological constructs related to technology. The researchers analyzed data from a separate study examining ChatGPT adoption among Italian university students, using both Prolific and snowball sampling methods. Three technology-related constructs were examined: technology self-efficacy (SE), technology anxiety (AX), and social norms related to technology use (SN). Analysis of covariance revealed a significant difference between groups in technology self-efficacy (SE), with Prolific participants exhibiting higher scores. No significant differences were found in AX and SN. The findings highlight potential selection bias, suggesting Prolific may attract participants with higher technological confidence. It is important to stress that this difference may also reflect a combination of self-selection into the platform, the presence of financial compensation, and the inherent biases of convenience snowball samples. The study underscores the importance of considering such recruitment-related biases when generalizing research findings, particularly in technology-related studies, and emphasizes the need for transparency in reporting sampling methods.