The kind of data collection issue that applies in this scenario is data quality issues. When relying on data collected by someone else, it is important to check the source to make sure that the data were collected and recorded properly. Raw data typically includes errors, inconsistencies, and other issues, which can affect the accuracy of the data. Therefore, it is important to ensure that the data collection measures are designed to avoid or minimize data quality issues. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results.
