LP03.1 ASSIGNMENT: Journal – Week 3 – coursefighter.com
LP03.1 ASSIGNMENT: Journal – Week 3 – coursefighter.com
Business Finance – coursefighter.com
Research Topic
Throughout the course you will be able to apply the PDSA improvement model to a personal improvement project. Choose something that you can change and measure, examples include time management, stress reduction, budgeting, healthy living (can include weight loss, diet management and exercise), smoking cessation, improvement of speaking and communication skills. You will research this topic (that’s why this assignment is named “Research Topic”) in the NAU library and apply best practices to make changes. Other improvement projects can be conducted once approved by the instructor.
Directions
By this time, you should have determined the criteria you will use to measure your improvement, be sure to relate it to your aim statement and references. After viewing “How to make a run chart,” construct your own run chart to plot your data. For more information, the IHI also has several “whiteboard” demonstrations. Please feel free to utilize the Likert Scale (Excel file) provided for you.
Requirements:
1. Chart tile
2. X axis labels
3. Y axis labels
4. Clear description of what you want to measure
5. References are NOT required for this assignment
*******use attached chart only as a model for the run chart “not the data”. New data will have to be inputed.*******
SCORING GUIDE ( 15 POINTS )
Rating Scale | |
15 | Work meets or exceeds criterion at a high level of competence. |
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14-13 | Work reflects an understanding of criterion with minor misunderstandings/ misconceptions. |
12 | Criterion partially met, but one or more important concepts/skills are missing or flawed. |
11-10 | Work reflects an attempt to meet criterion, but significant misunderstandings/ misconceptions are apparent. |
9-0 | Criterion not met or work is absent. |
Criteria | |
1. | LP3 Journal Content: Determined the criteria you will use to measure your improvement; constructed your own run chart to plot your data. |
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