The National Assessment of Educational Progress (NAEP), often referred to as The Nation's Report Card, offers a window into the state of U.S. K-12 education system. Since 2017, NAEP has transitioned to digital assessments, opening new research opportunities that were previously impossible. Process data tracks students' interactions with the assessment and helps researchers explore students' decision-making processes. Response change is a behavior that can be observed and analyzed with the help of process data. Typically, response change research focuses on multiple-choice items as response changes for those items is easily evident in process data. However, response change behavior, while well known, has not been analyzed in constructed response items to our knowledge. With this study we present a framework to conduct such analyses by presenting a dimensional schema to detect what kind of response changes students conduct and how they are related to student performance by integrating an automated scoring mechanism. Results show that students make changes to grammar, structure, and the meaning of their response. Results also revealed that while most students maintained their initial score across attempts, among those whose score did change, factor changes were more likely to improve scores compared to grammar or structure changes. Implications of this study show how we can combine automated item scoring with dimensional response changes to investigate how response change patterns may impact student performance.