Quantitative data analysis techniques provide
guidelines for program evaluators to understand what to do with data from such
sources as close-ended questions, checklist types of data, scales, number of
years, and number of service contracts. Any data collection technique that is
structured can be put into numerical form. Qualitative data analysis techniques
enable program evaluators to analyze data from such sources as open-ended
questions, process notes from training programs or group programs, descriptive-form
records, case examples, and other types of nonquantitative data. In both
quantitative and qualitative analysis, it is essential to have a plan for data
analysis. In this assignment, you will propose and defend the methodology for
implementing a program evaluation plan for the organization you referenced in
Module 2.
General
Requirements:
Use the following information to ensure successful
completion of the 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. The APA Style Guide is located in the Student
Success Center.
·
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.
·
You are required to submit this assignment to
Turnitin. Please refer to the directions in the Student Success Center.
Directions:
In a paper (1,250-1,500 words), propose a plan for
implementing a program evaluation study for the program found in the
organization you referenced in the Module 2 assignment. Your implementation
plan should include the following:
1. The selection and description of both a quantitative and a qualitative
method of data collection to carry out the study.
2. A research-based explanation of your rationale for selecting the
data-collection procedures that clearly identifies the strengths and weaknesses
of the procedures.
3. An explanation of how you would maintain validity and reliability of the
quantitative data being collected.
4. A statement identifying methods for overcoming the kinds of problems you
would expect as you collect the qualitative and quantitative data for this
evaluation.
