Click on the links below to learn more details for that aspect. Point values indicated in each section are based on each circle worth 2 points each. There are 50 individual Aspects on this rubric.
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Criteria |
Aspect |
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Introduction |
o Focused Problem/Research question. |
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o Introduction specific to hypothesis,
supports what is tested |
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o Independent Variable Identified o Dependent Variable Identified o Controlled Variables Identified (3+) |
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Hypothesis & Rationale |
Hypothesis, Null Hypothesis and Rationale o Hypothesis in correct format o Hypothesis correctly relates to problem o Rationale is a detailed, clear, relevant explanation of why Independent Variable causes the Dependent Variable. o Null Hypothesis in correct format o Null Hypothesis correctly relates to problem |
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Materials and Methods |
o All appropriate apparatus/materials listed o Sizes indicated on all appropriate apparatus/materials o Units indicated on all appropriate apparatus/materials o Uncertainty indicated on all appropriate apparatus/materials |
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o All necessary safety precautions including safety symbol(s) o Step by step listing of method used to run experiment using complete sentences. o Independent Variable is controlled o Maintain controlled variables and constants o Diagram of equipment set up, minimum size of 12cm x 12cm, labeled and colored o Labeled diagram or labeled photograph |
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Developing a method for collection of data o Range of data required (5+ or 10+ for t-test) o Sufficient data collected in each range (5x5) |
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Data collection, processing and presentation |
Data Collection (Raw Data Collection) o All relevant quantitative recorded (as required) o All relevant qualitative recorded (as required) o Units of measure clearly indicated in SI o Uncertainties clearly identified with units in SI o Significant digits reflect precision o Titles and Heading correct on data tables |
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Data Processing (Processing Raw Data) o Mathematical Manipulation of data o Processes quantitative data correctly o Units of measure correct and carried through processing o One example per formula, clearly identified |
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Data Presentation (Presenting Processed Data) o Clear headings (Calculations, Graphs, Tables, Units) o Appropriate scales o Graph plots processed data (Best-Fit line on scatter plot) o Correct significant figures o Treatment of uncertainties is taken into account (outliers or error bars showing Std Deviation) |
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Conclusion and Evaluation |
o Explanation relates to hypothesis (accept or reject) o Explanation based on trends shown in graphs o Interpretation contains observations, trends or patterns revealed by the data. o Comparison to literature (as required) including references |
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o Relevant comments on design and method (processes) o List relevant weakness and how significant they are o Relevant weakness on precision and accuracy o Relevant comments on use of equipment and mgmt. of time |
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Improving the Investigation based on above evaluation o Realistic and clearly specified modification of technique (Procedure) o Realistic and clearly specified modification of data range o Realistic improvements to overcome weakness |
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LOSS of Points for Format and Technical Criteria |
Format and Technical Aspects – (As required by Instructor) Checked boxes indicate LOSS of points o All four margins 2.5cm o Lab title on every page of lab o Every section has a heading o Page number of every page. o Sections out of order o Bibliography Missing o References not in APA format |