ABCTE Professional Teaching Knowledge Practice Exam 2025 - Free Teaching Knowledge Practice Questions and Study Guide

In the context of data analysis, the term "disaggregated" refers to the practice of separating data into individual components or categories. This process allows for a more granular analysis, enabling educators, researchers, or analysts to identify trends, patterns, or disparities within specific subgroups. For example, disaggregating test scores by demographic factors such as grade level, gender, or socioeconomic status can reveal important insights that are obscured when examining the data as a whole.

Disaggregating data helps stakeholders understand the performance and needs of various groups more clearly, which is essential for making informed decisions and implementing targeted interventions. This concept is particularly significant in educational settings, where it can inform curriculum development, resource allocation, and strategies to close achievement gaps among students.

In contrast to the correct answer, the other options represent processes that do not align with the notion of disaggregation. Combining data sets, analyzing without biases, or gathering data in a single large set would not allow for the detailed understanding that disaggregating data provides.