To measure progress toward each goal in the new vision and improvement plan, what data should the principal identify?

To measure progress toward each goal in the new vision and improvement plan, what data should the principal identify?

• A. Qualitative and quantitative data that can be collected to measure progress toward achieving each goal
• B. Annual attendance data only
• C. Financial reports only
• D. Student mood surveys only

Answer: (A)

Measuring progress toward goals requires collecting both quantitative and qualitative data that can be linked to each goal. Quantitative data are the numeric indicators—things like test scores, attendance rates, graduation rates, discipline referrals, or other measurable outcomes—that show how much progress is being made. Qualitative data provide context and meaning—stakeholders’ perceptions, experiences, and practices—collected through surveys, interviews, focus groups, and open-ended responses. Together, they give a complete picture: you see the magnitude of change and you understand why and how that change is happening, which is essential for adjusting strategies in the vision and improvement plan. Relying on a single data type—such as only attendance, only financials, or only mood surveys—gives an incomplete view and may miss critical links between actions and outcomes.

Measuring progress toward goals requires collecting both quantitative and qualitative data that can be linked to each goal. Quantitative data are the numeric indicators—things like test scores, attendance rates, graduation rates, discipline referrals, or other measurable outcomes—that show how much progress is being made. Qualitative data provide context and meaning—stakeholders’ perceptions, experiences, and practices—collected through surveys, interviews, focus groups, and open-ended responses. Together, they give a complete picture: you see the magnitude of change and you understand why and how that change is happening, which is essential for adjusting strategies in the vision and improvement plan. Relying on a single data type—such as only attendance, only financials, or only mood surveys—gives an incomplete view and may miss critical links between actions and outcomes.