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CRITERIABEGINNERCAPABLEPROFICIENTADVANCED
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QuestionQuestions overly simplistic, unrelated to class material, or unmotivated.Questions somewhat simplistic but grounded in class material. Questions are not based on available datasets or prior readings.Questions appropriate, coherent, and motivated according to class material.Questions well-motivated, insightful, and novel. They build on specific lessons and skills from class material. This rubric adapts material from the following sources:
PBL Works Success Skill: Critical Thinking (https://drive.google.com/file/d/1xuIlPlIXDTHR3zampFTs43AltFepEo8q/view)
PBL Works Success Skill: Complex Communication (https://drive.google.com/file/d/1DLO69YZGtPHyQ8s8HhQDJPDx2tCUKsU3/view)
Data Science for Everyone Matthew Brett Rubric (https://matthew-brett.github.io/dsfe/projects/rubric)
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Collection MethodsDescription of data sources, methods, and analysis is confusing or not articulated sufficiently. Reflection on influence of social factors on data is limited, lacks insight, or is absent.Description of data sources, methods, and analysis is somewhat onfusing or not articulated sufficiently. Reflection on influence of social factors on data is limited.Description of data sources, methods, and analysis is adequate. Reflection on influence of social factors on data is limited, lacks insight, or is absent.Accurate, thorough description of data, sources, and analysis plan is present. Reflection of influence of social context on data collection and interpretation is thorough and insightful.
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ResultsResults are not clearly explained with limited connection back to questions and methods. Statistical analyses are inappropriate or incorrectly interpreted. Tables/figures do not convey data clearly. Results are explained with some connection back to questions and methods. Some statistical analyses are inappropriate or incorrectly interpreted. Tables/figures attempt to convey data, but some are unclear. Results are explained with connection back to questions and methods and few organizational issues. Statistical analyses are appropriate or usually correctly interpreted. Tables/figures are accurate but could be more clear. Results are clearly explained with comprehensive detail and connect back to questions and methods. Statistical analyses are appropriate and accurate. Tables/figures clearly and concisely convey data.
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Written AnalysisInterpretation/analysis of results lack thoughtfulness and insight and are uninformed by results. No discussion of questions present. Discussion of study does not relate to present scholarship and does not offer applications to societal problems. Suggestions for further research and modifications are severely limited or absent.Interpretation/analysis of results lack thoughtfulness and insight but are informed by results. Some discussion of questions present. Discussion of study mildly relates to present scholarship and offers at least one application to societal problems. Suggestions for further research and modifications are limited.Interpretation/analysis of results demonstrate some thoughtfulness and insight and are informed by results. Discussion of questions present. Discussion of study mildly relates to present scholarship and offers details regarding the study's application to societal problems. Suggestions for further research and modifications are present.Interpretation/analysis of results are thoughtful and insightful, clearly informed by the study's results, and thoroughly address questions. Section provides insightful discussion of study's relation to present scholarship and societal issues. Suggestions for further research in area are insightful and thoughtful, providing reflection on DEI values.
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Readability/ Reproducibility (if applicable)Code is messy and poorly organized, missing key variable and function names. Code does not run.Code includes unused or irrelevant code. Recipes in project directory correctly load most data and generate some results and figures from the report.Code is reasonably well-organized. There is little unused or irrelevant code. Variable and function names are meaningful. Recipes in project directory correctly load data and generate the results and figures from the report.Code is very well-organized with no unnecessary code. Variable and function names have clear relationships to their purpose, and all code is easy to read and understand. Recipes correctly load data, generate all results and figures, and validate data against its source.
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