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Integrated Assessment: Quantitative & Scientific Reasoning

Quantitative and Scientific Reasoning

Apply appropriate mathematical and/or scientific concepts and theories in order to interpret data and solve problems based on verifiable evidence.


1. Identify and extract relevant data from problems, experiments or projects.
2. Organize data into tables, spreadsheets, graphs, symbols, equations and/or other visual representations.
3. Analyze and interpret quantitative and qualitative data using sound mathematical/scientific concepts.
4. Evaluate evidence and decide if conclusions based upon data are valid and consistent.

Criteria 4-Advanced 3-Competent 2-Developing 1-Beginning N/A
Ability to explain information presented in appropriate format
Provides accurate explanation of information presented in appropriate format. Makes correct inferences based on the information. Basic concepts of the information are explained but detail is lacking. Attempts to explain information presented in appropriate format, but draws incorrect conclusions about what the information means. Draws incorrect conclusions about what the information means.  
Ability to convert relevant information into various formats
Properly converts relevant information into an accurate representation of the problem/concept. Proper extraction of data but representation contains inaccuracies. Data properly extracted but information converted into an inaccurate representation. Improper extraction of data and inaccurate representation.  
Calculation Correct numerical responses and units Minimal numerical errors and unit conversions Incorrect application of principles to solve the problem Incorrect principle used to solve the problem leading to wrong calculation.  
Application / Analysis
Ability to make judgements and draw appropriate conclusions based on the analysis of data, while recognizing limitations
Uses data analysis as the basis for drawing insightful, carefully-qualified conclusions Uses data analysis to make conclusions, some details lacking in response. Uses data analysis in a superficial manner, drawing obvious conclusions Misuses or misinterprets the data, drawing incorrect conclusions  

*The N/A category is to be used in a situation when ONE of the rubric criteria is not applicable to the chosen assessment. For example, if Application/Analysis was not part of the original assessment, then you select N/A for that row. Point totals will be adjusted accordingly when the final data is aggregated. Faculty are strongly encouraged to align assessments to the rubric. If you feel the need to select N/A for multiple criteria, then the assessment measure should be adjusted or replaced by a more appropriate one. If you need help with this process, please contact the Assessment Team: .

Recommended Assessment Measures (Ferris State):

01) Selected response exams
02) Constructed response exams
03) Pre- and post-tests
05) Short written report
06) Medium written report
07) Long written report
09) Lab report
12) Oral presentations
15) Case study

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quantitative & scientific reasoning rubric

Types of Assessments & CCAC Examples:

Lab Reports
Create a standard curve and determine the concentration of the unknown
Determine the quantity of a chemical or biological material, show results in graphical form and summarize
Summarize findings of experiment using relevant data
Use graphical, symbolic, and numerical methods to analyze, organize, and interpret natural phenomenon

Written Report
Engage in quantitative writing to perform an assessment on a real-world topic
Attempt to replicate results from an experiment and compares findings, determining if there is a statistical significance between the two
Discriminate between association and causation, and identify the types of evidence used to establish causation in a short written report
Conduct a simple statistical analysis to answer their questions and submit short research reports

Case Study
Evaluate data on a patient and determines relevant doses of medication to treat the condition
Collect and evaluate blood pressure during rest and exercise, comparing the averages and explaining the results
Troubleshoot a problem from the automotive database, evaluating the information and determining the proper response
Identify issues with an example dataset, for instance: absence of sufficient information or in the face of inconsistent evidence and explain how it could be improved
Analyze information presented in a case study, identifying potential courses of action and barriers to success

Student Products
Use spreadsheets to evaluate data and summarize the evidence in an Infographic
Explore an unfamiliar topic using data to support findings and share using social media
Present accurate calculations and symbolic operations, and explain how such calculations and operations are used in either his or her specific field of study or in interpreting social and economic trends

Oral Presentations
Present data collected in an online format, sharing the ‘Take home message’ from the information
Communicate findings on a topic of interest utilizing real-world data

Answer short answer questions requiring calculation and explanation of findings


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