Eco-04/ revision
6/24/16 10:58 PM
Can you double check your answers with the: Module Four Case Study Guidelines and Rubric?
It seems you have not answered all exact questions. If you re-do and submit, I will re-grade.
Note: you have to do rational (0%) Total economic benefit (0%), and all low grade of zones (4.2%), Data Collection Points (5.4%) Articulation of Response (5.4%)
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Exemplary |
Proficient |
Needs Improvement |
Not Evident |
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Rationale
0 (0%) There is no evidence or rationale for the method used in this report Feedback: I can't see your answer for the step 1?
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Points: 6 (10%) Meets “Proficient” criteria and extends with compelling rationale on the benefits of the travel cost method with a comparison to other methods, such as contingent valuation |
Points: 5.4 (9%) Introduces the report with a clear description on the rationale for the use of the travel cost method |
Points: 4.2 (7%) Attempts to introduce the report with a rationale for the use of the method for the analysis, but the description is not clearly explained or it is missing correct information |
Points: 0 (0%) There is no evidence or rationale for the method used in this report Feedback: I can't see your answer for the step 1? |
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Zones
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Points: 6 (10%) Meets “Proficient” criteria and extends by defining the source of the data from the surrounding area and incorporates a graphic with concentric circles from around the lake |
Points: 5.4 (9%) Defines the zones surrounding the lake |
Points: 4.2 (7%) Attempts to define the zones surrounding the lake, but at least one detail is incorrect |
Points: 0 (0%) The definition of the zones is incorrect or missing completely |
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Data Collection
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Points: 6 (10%) Meets “Proficient” criteria and extends the reports value by describing additional data to be collected that would enhance the current data and analysis value |
Points: 5.4 (9%) Describes the collection of data using the example of the lake staff providing records of the number of visitors and their zip codes as part of the visits per zone |
Points: 4.2 (7%) Attempts to describe the collection of data, but there is an error or missing information |
Points: 0 (0%) There is no attempt to describe the data collected |
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Visitation Rates
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Points: 6 (10%) Meets “Proficient” criteria and extends the calculations with additional relevant data and adds it to the graph of the zones and visits/1,000 |
Points: 5.4 (9%) Generates accurate calculations of the data with the use of a program such as Excel and generates a graph of the zones and visits/1,000 |
Points: 4.2 (7%) Attempts to generate calculations of the data with the use of a program such as Excel, but there are errors in the data or the graph |
Points: 0 (0%) There is no analysis or proper use of the data |
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Travel Cost per Trip
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Points: 6 (10%) Meets “Proficient” criteria and extends to include additional data that enhances the graph |
Points: 5.4 (9%) Calculates the travel costs and trips by zone using the data provided with the use of a program such as Excel to generate a representation of the information in a graph |
Points: 4.2 (7%) Attempts to calculate the travel costs and trips by zone using the data provided, but there is an error in the data or graph |
Points: 0 (0%) There is no calculation of the travel costs and trip by zone or no graph |
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Estimation
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Points: 6 (10%) Meets “Proficient” criteria and extends calculations and the regression analysis to include more variables that go beyond the simplest travel cost and visits/1,000 |
Points: 5.4 (9%) Estimates using the regression analysis of the visits per capita to travel costs and other important variables |
Points: 4.2 (7%) Attempts to use regression analysis of the visits per capita to travel costs and other variables, but there is an error in the equation or the use of data |
Points: 0 (0%) There is no regression analysis of the visits per capita to travel costs |
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Demand Function
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Points: 6 (10%) Meets “Proficient” criteria and extends demand function for visits to the lake by adding supporting data to enhance the graph |
Points: 5.4 (9%) Constructs the demand function for visits to the lake using the results from the regression analysis; enters data into a program such as Excel and creates a graph to represent the data and regression analysis |
Points: 4.2 (7%) Attempts to construct the demand function for visits to the lake, but the data has errors or there is no graph to represent the data and regression analysis |
Points: 0 (0%) There is no construct demand function for visits to the lake |
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Total Economic Benefit
0 (0%) There is no analysis or data used correctly to make accurate recommendations Feedback: I can't see any calculations for total economic benefits too
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Points: 12 (20%) Meets “Proficient” criteria and extends to include additional recommendations that enhance this analysis with good questions to ask for more data to improve the analysis |
Points: 10.8 (18%) Uses the data provided to create a summary of the benefit-cost analysis with recommendations on short-run and long-run costs of programs that will control pollution; writes in a way that will influence a target audience of homeowners and businesses |
Points: 8.4 (14%) Attempts to use the data in the analysis, but at least one data source is not identified or is used incorrectly |
Points: 0 (0%) There is no analysis or data used correctly to make accurate recommendations Feedback: I can't see any calculations for total economic benefits too |
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Articulation of Response
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Points: 6 (10%) Submission is free of errors related to citations, grammar, spelling, syntax, and organization and is presented in a professional and easy to read format |
Points: 5.4 (9%) Submission has no major errors related to citations, grammar, spelling, syntax, or organization |
Points: 4.2 (7%) Submission has major errors related to citations, grammar, spelling, syntax, or organization that negatively impact readability and articulation of main ideas |
Points: 0 (0%) Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas |
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