What is quantitative data primarily used for in the context of educational technology?

Quantitative data is primarily utilized to measure and analyze numerical values to inform decisions, which is why it is most closely associated with measuring school performance. This type of data includes metrics like test scores, attendance rates, graduation rates, and other statistical indicators that can quantitatively assess the effectiveness of educational programs and systems.

In the context of educational technology, quantitative data can help schools identify trends, allocate resources, and evaluate the impact of technology on teaching and learning outcomes. By examining this data, educational leaders can make data-driven decisions that enhance student achievement and improve overall school performance.

While assessing student behaviors or monitoring classroom dynamics might involve quantitative components, they often rely on qualitative aspects as well—the language of which is more interpretative. Evaluating staff candidates focuses on subjective qualities and professional experiences, which are not typically quantifiable by numerical data. Hence, measuring school performance stands as the main domain for the application of quantitative data in educational settings.