10. What data have been or will be collected to measure each outcome? What other data will be collected? • Examples include, but are not limited to: o Outcome data (e.g., number of students participating; see #9 above for other examples) o Student characteristics (e.g., number of men versus womenparticipants) o Level/extent of participation in initiative (e.g., number of tutoring sessions attended) • Think in terms of each outcome to be explained as a function of inputvariables. 11. What analyses have been or will be conducted? • Descriptive: • Correlational: • Inferential: • Predictive: 12. What were the results? • For which outcomes did the initiative fall short? Which outcomes were met or exceeded? • Substantively, what do these findings mean? What was the impact on the students participating in the initiative? • Were you able to compare participants to similar non-participants? If so, how did these two groups differ in terms of the outcomes? • What have you learned or discovered? How do the results “fit” with your expectations about this initiative? 13. What are the next steps? • Should this initiative be continued? If so, how will it befunded? • How would you improve the implementation and/or the assessment of thisinitiative? • How might you extend or scale up this initiative? • What remaining or new questions do you have about this initiative? • What additional data might you want to collect during the next implementation? • How would that additional data help you better understand the impact on students? 14. Please summarize all expenditures for this initiative.
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