Final answer:
A question that asks for the age of a respondent in years would be scaled as a quantitative continuous variable in survey research, allowing for more precise analysis and interpretation of the data.
Step-by-step explanation:
A question that asks the age of a respondent in years would be scaled as a quantitative continuous variable. This means that the variable represents a numerical measurement that can take on any value within a range. Age is a continuous variable because it can be measured in decimal numbers and there is no fixed set of values that it can take on.
The scaling of age as a quantitative continuous variable is important in survey research because it allows for more precise analysis and interpretation of the data. For example, researchers can calculate means, standard deviations, and other statistical measures to understand the distribution and variation in respondents' ages. Additionally, by treating age as a continuous variable, researchers can examine relationships between age and other variables using techniques such as correlation analysis or regression analysis.