Final answer:
The statement that quantitative approaches may not be accepted if they collect too much information for too many purposes is false. Properly designed quantitative research can accommodate large and diverse amounts of data, but the objectives should remain clear to ensure relevance and validity.
Step-by-step explanation:
Quantitative methods involve collecting numerical data that can be statistically analyzed. While it is important for the data collection to be manageable and focused, collecting a large amount of information for various purposes does not inherently invalidate a quantitative approach. Researchers using quantitative approaches benefit from larger sample sizes as they tend to provide more reliable results, as indicated by the principle that larger sample sizes are generally better than smaller ones in scientific experiments. However, the research must maintain clear objectives to ensure that the data collected is relevant and can effectively support the study's main ideas. When quantitative data collection becomes too broad or vague, it may result in insufficient evidence to support the hypotheses or contribute to too many generalities, which can compromise the study's validity.