Final answer:
It is true that Likert-type rating scale questions generate numerical scores suitable for evaluation using standard statistical methods such as computation of means, allowing researchers to quantify subjective opinions into objective data.
Step-by-step explanation:
It is true that one advantage of Likert-type rating scale questions is that they produce numerical scores that can be evaluated with standard statistical methods such as computing means. This is because Likert scales allow respondents to express a level of agreement or disagreement on a symmetric agree-disagree scale for a series of statements. Thus, the resulting data is quantitative and can be used to derive a mean which provides a composite score of the respondents' attitudes or feelings towards the subject matter being investigated.
Likert scales are commonly used in various types of research, including psychological and social sciences, due to their ability to turn subjective opinions into quantitative data. This quantification allows for a straight-forward statistical analysis, where responses across individuals or groups can be compared and averaged. However, researchers have to be cautious, as respondents may still respond in socially desirable ways, which can introduce bias to the results.