PRT 504: Data Management and Evaluation in Parks, Recreation Tourism & Sport
This course is intended to provide professional masters students with an introduction to fundamental data analytic procedures and techniques used in program evaluation in parks, recreation, sport, and tourism settings. The course places emphasis on the rationale for using specific data management and analysis procedures and interpretation of results for decision making. Emphasis is also placed on becoming familiar with statistical procedures available in Microsoft Excel and within Google Spreadsheets.
Learning Objectives :
1. Describe the importance of data in measuring success, evaluation, and decision making. 2. Formulate meaningful evaluation objectives to guide data collection and analysis.
3. Conduct basic descriptive and inferential statistical procedures.
4. Choose appropriate methods of displaying data analysis results.
5. Use appropriate terminology to interpret and communicate results from data analysis.
6. Manage and store data so that it may be returned to or shared with others.
Reflections and Summary of my work toward developing these competencies:
Data helps you measure things and use information to improve the efficiency and profitability of your organization. As a future Parks and Recreation professional this class taught ways to evaluate, collect, analyze, and synthesize data. Before the data collection portion of the class Dr. Hipp ask us to create smart objectives for an evaluation of program of our choosing. I chose a program to reduce hospital readmission’s. When writing my SMART Objective I took time make sure my program goals were SMART(specific,measurable,achievable, realistic and time bound). Having smart goals allows for effective evaluation,data collection, analysis, and planned implementation of program initiatives. In weeks three and four we were introduced to descriptive statistics which are used you to summarize and describe data. In week four we were given a midterm which required us to look at data from Florida State Parks. This midterm required the class to use all the information we had learned up until that point including mean, standard deviation, and the use of pivot tables. In weeks five through seven we began to test the differences between different sets of data and use this information to make inferences based up the results of the data. Instead of doing the predictable final paper or presentation Dr. Hipp allowed us to present the data from are Smart Objectives in the form of an info-graph.