Which data category would best show trends in student achievement over time?

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Multiple Choice

Which data category would best show trends in student achievement over time?

Explanation:
When you want to see how student achievement changes over time, you need data that reflects actual performance outcomes. That’s results data. It includes measurable student work like test scores, grades, or mastery of standards, collected at multiple points (terms, years, benchmarks). By tracking these outcomes over time, you can identify trends such as steady improvement, plateaus, or declines, and use that information to guide instruction and interventions. Process data, in contrast, focuses on how learning activities are carried out—things like which lessons were taught, how many tutoring sessions occurred, or how time was allocated. Perception data captures opinions or feelings about the program, such as student or teacher surveys. Attitudinal data measures beliefs or motivation. While these can provide context for why trends happen, they don’t directly show the trajectory of achievement itself.

When you want to see how student achievement changes over time, you need data that reflects actual performance outcomes. That’s results data. It includes measurable student work like test scores, grades, or mastery of standards, collected at multiple points (terms, years, benchmarks). By tracking these outcomes over time, you can identify trends such as steady improvement, plateaus, or declines, and use that information to guide instruction and interventions.

Process data, in contrast, focuses on how learning activities are carried out—things like which lessons were taught, how many tutoring sessions occurred, or how time was allocated. Perception data captures opinions or feelings about the program, such as student or teacher surveys. Attitudinal data measures beliefs or motivation. While these can provide context for why trends happen, they don’t directly show the trajectory of achievement itself.

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