iRubric: Case Study Project rubric

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Case Study Project

You must formulate and solve a time series analysis problem. This includes defining the problem (i.e. the forecast you want to make), collecting data, and implementing the forecasting process.

Rubric Code: ZXW3786

By sarrell

Ready to use

Public Rubric

Subject: Math

Type: Project

Grade Levels: Graduate

Case Study Rubrik
	Poor 1 pts	Fair 2 pts	Good 3 pts	Excellent 4 pts
Quality of Write-Up	Poor - Poorly organized - Clarity is impeded by numerous grammatical errors	Fair - Marginally well organized - Contains significnant grammatial errors	Good - Contains minor grammatical errors - Otherwise relatively easy to read/understand	Excellent - Well organized - Clearly and coherently written - Well defended
Topic Selection	Poor - Topic not a good candidate for this analysis	Fair - Topic otherwise appropriate, but data unsupportive of analysis	Good - Topic an appropriate candidate for analysis - Minor deficiencies in data impede effective analysis - Appropriately unique topic	Excellent - Topic an appropriate candiate for analysis - Topic well supported by data - Topic unique and original
Problem Description	Poor - Problem Description missing	Fair - Problem description contains major errors or oversights - Lacks description of importance of problem	Good - Problem described with minor errors or oversights - Importance of problem described with minor errors or oversights	Excellent - Problem effectively described - Importance of problem effectively described
Model Implementation	Poor - Major errors or oversights committed in model selection process	Fair - An appropriate model is selected, but not the best one - Major errors or oversights in description of model selection process	Good - An appropriate model is selected, but with minor errors or oversights - Minor errors or oversights in description of model selection process	Excellent - Appropriate model is selected and defended confidently and competently
Validation	Poor - Validation is absent or the result of badly misapplied techniques	Fair - Validation is completed with significant error(s)	Good - Validation is completed with minor error(s)	Excellent - Model is appropriately and sufficiently validated
Conclusion	Poor - Conclusion is absent	Fair - Conclusion is not consistent with evidence / analysis	Good - Conclusion is consistent with evidence / analysis with minor exception(s)	Excellent - Conclusion is consistent wth evidence / analysis