Your proposed evaluation of the effectiveness of your innovation in solving the problem you are addressing (4 pages maximum). Explain the research design for your proposed evaluation to determine and measure the extent to which your proposed solution is effective in solving the problem. Explain your measurement approach and the measures you will use, and how you will collect data. To the extent you can, explain how you will analyze the data.

Evaluation of Effectiveness of Capstone Innovation.

In this assignment you will first describe the aims and significance of your proposed innovation
(one page maximum), how your innovation will solve the problem you are addressing (one page
maximum). This may be lifted from your previous work of your capstone assignments. Then, you
will show how you propose to evaluate the effectiveness of your innovation in solving the
problem you are addressing (4 pages maximum). The paper should be NO MORE than 6 pages
in length, not counting references, and include the following:
1. Identification of the problem you are addressing (and citing relevant literature and data)
and aims and significance of your proposed innovation (one page maximum, may be
lifted from your previous work of your capstone assignments).
2. Detailed description of your proposed solution to the problem (i.e., policy/program/
intervention, population to reach, setting, etc.) and citing the theories or evidence
supporting how your innovation will solve the problem you are addressing (one page
maximum, may be lifted from your previous work of your capstone assignments).
3. Your proposed evaluation of the effectiveness of your innovation in solving the problem
you are addressing (4 pages maximum). Explain the research design for your proposed
evaluation to determine and measure the extent to which your proposed solution is
effective in solving the problem. Explain your measurement approach and the measures
you will use, and how you will collect data. To the extent you can, explain how you will
analyze the data.
The paper should provide an understanding of experimental and quasi-experimental designs
e valuable for program evaluation, including use of control groups, instruments for measuring
outcomes, and procedures like randomization designed to reduce or eliminate bias and potential
for alternate explanation of findings.

lift info from paper dated March 8th on this site and any others that will help

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