Final answer:
Laboratory data, which is quantitative and involves measurements, is more readily verifiable than subjective data, which is qualitative and based on personal observations, making the latter more likely to need validation.
Step-by-step explanation:
In scientific research, validation of data is crucial to ensure accuracy and reliability. Laboratory data is often quantitative, involving measurements and numerical analysis that can be independently verified for reliability and validity. This includes checking the precision and accuracy of instruments and repeating experiments to ensure consistency of results. Conversely, subjective data tends to be qualitative, involving personal observations and experiences. Verification of subjective data involves subjective experiences as both observations and require interpretations.
For instance, if someone claims there is milk in the refrigerator, checking the claim is a straightforward process. However, subjective considerations arise when determining what qualifies as 'milk', such as whether a substitute like powdered milk or long-life milk meets the criteria.
When considering propositions like 'fire causes burns', the truth of data provided by multiple reports can be accepted as true only after repeated observation and attribution to a cause. Subjective questionnaires that require short essay responses gather data based on internal senses and reflections, which are knowledge-based and harder to validate as the data is influenced by personal perspectives and may require anonymity for truthful responses.