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Use a provided template to report your data collection methods and instruments, as well as assess the degree to which the data demonstrates achievement of project outcomes

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Use a provided template to report your data collection methods and instruments, as well as assess the degree to which the data demonstrates achievement of project outcomes Project Data Analysis: Use a provided template to report your data collection methods and instruments, as well as assess the degree to which the data demonstrates achievement of project outcomes.   Introduction   The purpose of this assessment is to explain the data collection methods and instruments for your project as well as analyze the data to determine the extent to which you have achieved desired project outcomes.   Instructions   For this assessment you will complete the  Data Analysis Template [DOCX]  Download Data Analysis Template [DOCX] .   This template will help you structure your report on your data collection methodology and data analysis, including instruments used and outcomes achieved. You are not expected to submit your raw data for this assessment; however, you should store your raw data securely so you can provide it if necessary.   Your assessment will be graded on the following criteria:   · Explain the design of the doctoral project.   · Explain IRB-approved data collection methods for the doctoral project.   · Analyze project data and present the outcomes of the interventions, findings, and recommendations related to the problem statement using appropriate writing and graphics.   · Apply APA formatting and style throughout, with special attention paid to data charts, figures, and tables.   · Communicate in a clear, concise, and well-organized manner, using tone and vocabulary appropriate for a professional and scholarly report.   Additional Requirements · Data Collection Instruments: Be sure to reference any instruments used in this assessment via citation (external items) or inclusion in an appendix (internal items).   · Apply APA formatting and style throughout, with special attention paid to data charts, figures, and tables.

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