What kind of data reflects an increase in student attendance after workshops?

The correct choice reflects a situation where measurable outcomes are analyzed following the implementation of workshops aimed at improving student attendance. Results data specifically pertains to the outcomes or impacts of an initiative, making it the most suitable choice here. This type of data would provide clear evidence of whether the workshops were effective in achieving their goal—in this case, increased student attendance.

Results data typically includes quantifiable metrics, such as attendance records, test scores, or graduation rates, which demonstrate the effectiveness of specific programs or interventions. In this scenario, tracking the changes in student attendance before and after the workshops would constitute results data, showing a direct correlation between the workshops and improved attendance rates.

In contrast, perception data would focus on subjective views or opinions about the workshops, such as student or parent feedback, which does not provide concrete evidence of actual attendance changes. Process data refers to the implementation details of the workshops themselves, such as the number of sessions held or materials used, rather than the outcomes. Demographic data would include statistics about the characteristics of the student population, such as age or socioeconomic status, but would not directly show attendance changes related to the workshops. Thus, results data is the most relevant in establishing the effectiveness of the workshops on attendance rates.