Which type of data is less susceptible to differences of opinion?

Quantitative data is less susceptible to differences of opinion because it is based on measurable, numerical values that provide objective information. This type of data allows for statistical analysis and can be easily verified through repetition of measurements or experiments. The nature of quantitative data is such that it is focused on quantities and statistical significance, leaving minimal room for personal interpretation or subjective judgment.

In contrast, qualitative data often contains personal insights, descriptions, or opinions, which can vary widely among individuals. Subjective data is inherently influenced by individual perspectives and experiences, making it highly susceptible to differing opinions. Comparative data generally involves the analysis of more than one set of data, which can still contain subjective elements. Ultimately, the objectivity and consistency of quantitative data make it the least prone to differences of opinion, as it relies on hard facts rather than personal interpretation.