responses
Running head: PROGRAM EVALUATION
PROGRAM EVALUATION 4
Program evaluation
Student’s name
University affiliation
Date
One of the known barriers in higher education that affect the effectiveness of collection and data analysis is inappropriate data collection tools. This challenge may be caused by the design of the questionnaire. The second barrier is biased/random error, which may occur due to measurement error and sampling variability. Utilizing data-driven decision making within higher education administration is important as it guards against any biases. Such decisions help in the provision of insightful feedback. The second benefit is that it helps provide distinct suggestions which help in making better decisions. It also helps in promoting data curation (Streifer & Goens, 2004). Through building robust data-collection processes within the higher education administration, useful insights will be extracted. Technology helps in analyzing data and attaining answers from the data almost immediately.
The aspect of program evaluation that aided in data collection and analysis is assessing. This aspect considers elements such as the need for the program, the design, implementation, impact assessment, and cost-effectiveness. These elements help in guiding what should be included during the collection of data and to assess data based on what is relevant to the need for the program. The aspect of program evaluation that yielded concern on the collection and analysis of data is during the assessing of program impact. This raised concern builds on the earlier forms of evaluation and units of analysis, which yielded concern, as it revealed whether the decisions made, were data-driven or evidence-based. The aspect of the program evaluation process that may be candidates for change is the measuring of the program outcomes which will assess the cost and labor-intensive, the relevant outcome, and longitudinal foundation.
Additionally, it will manifest whether there is a need for more reliable and valid data. The information that would help make the process change recommendations are assessing and expressing program theory (Chen, 2015). This will help in ascertaining what is being done and analyzing stated objectives versus the flowchart of actual activity.
References
Chen. (2015). Practical program evaluation: theory-driven evaluation and the integrated evaluation perspective. Los Angeles: SAGE Publications.
Streifer, P. & Goens, G. (2004). Tools and techniques for effective data-driven decision making. Lanham, Md: ScarecrowEducation.