A disadvantage of objective quantitative data could be the potential for inaccuracies due to what?

The potential for inaccuracies in objective quantitative data can indeed stem from incorrect calibration of devices. This is crucial because quantitative data is often reliant on measurements taken through various instruments, such as scales, sensors, or other data-collecting tools. If these devices are not properly calibrated, they may yield incorrect readings, leading to flawed conclusions.

In this context, accurate calibration ensures that the measurements reflect true, valid data as close to reality as possible. When instruments are off, even slightly, the resulting data can misrepresent the factors being measured, ultimately jeopardizing the integrity of the research findings. This emphasizes the importance of routine checks and maintenance of measurement tools in psychological research and any field relying on quantitative data for assessments or tests.