Details: Data Analysis Plan
After the data are collected and
before program evaluators meet with management, the data must be analyzed to
ensure that it will provide the right type of information for the evaluation.
Of vital importance is ensuring that the data fit the indicators identified for
analysis. Then, it must be decided how the data and results will be presented.
It is important to present the information in ways that make it easy to
understand, demonstrate relationships to other data, and allow the information
to be used to support decision-making processes. In this assignment, you will
write about the methods of analyzing and reporting the study data. General
Requirements: Use the following information to ensure successful completion of
• Locate the data collection procedures you developed in
Module 5 to use as reference material for this assignment.
• Locate the mission
statement and program description from the existing organization that you
referenced in Module 2 to use as examples for this assignment.
• Instructors will be
using a grading rubric to grade the assignments. It is recommended that
learners review the rubric prior to beginning the assignment in order to become
familiar with the assignment criteria and expectations for successful
completion of the assignment.
• Doctoral learners are required to use APA style for their
writing assignments empirical journals.
• This assignment requires that at least two additional
scholarly research sources related to this topic, and at least one in-text
citation from each source be included.
Directions: Based on the data-collection procedures chosen in the Module
5 assignment, write a paper of 1,000-1,250 words explaining how you would
analyze and report the data collected. Use language that can be understood by
someone without training in statistics and research methods. The adequacy of
your response depends on its technical correctness and its appropriateness to
the intended audience. Do the following in your paper: 1. Specify and describe
the statistical analysis techniques that will be used to compile and summarize
the data gathered to determine how the program is operating and whether the
program is fulfilling its goals and objectives. 2. Explain how the qualitative
data would be analyzed in order to identify trends and patterns in the
qualitative responses collected. 3. Explain the benefits of the analysis type
selected for the evaluation.