Internal assessment criteria—SL and HL Checklist:
1- Research Design
i.
The research question is stated with context should contain reference to the
dependent and independent variables or two correlated variables .
ii.
A concise description of the system in which the research question is embedded is
stated.
iii.
A background theory of direct relevance to the topic is described.
iv.
State methods for measuring the dependent and independent variables.
v.
Include quantity and quality of measurements (e.g. the range, interval or
frequency of the independent variable, repetition and precision of
measurements).
vi.
Stating max allowable controlled variables.
vii.
viii.
ix.
Stating why and how they are controlled.
Awareness of the significant safety, ethical and environmental issues.
Detailed methodology (specific materials used and precise procedural steps).
x.
xi.
No repetitive information.
Methodology could be clearly repeated by a blind-folded reader.
2- Data analysis
i.
ii.
iii.
iv.
v.
vi.
vii.
viii.
ix.
Sufficient relevant quantitative and qualitative raw data.
Consideration of the impact of measurement uncertainties.
Measurements have same decimal places as the uncertainty.
Data processing is clear and precise.
Graphs and tables are annotated with units and uncertainties.
Tables are adjusted with correct sig fig/decimal places.
Inaccuracies and inconsistencies are omitted to draw a valid conclusion.
The processed data are interpreted so that a conclusion is completely valid and
detailed.
The RQ is addressed appropriately and accurately using the processed data.
3- Conclusion
i.
ii.
iii.
iv.
v.
Processed data are interpreted including associated uncertainties.
A conclusion is described and justified which is relevant to the RQ.
Conclusion is supported by data collected.
Results were compared with data from a published material from online, or any other
source.
Citation is detailed such that data could be tracked.
4- Evaluation
i.
ii.
iii.
iv.
v.
vi.
Strengths and weaknesses of the investigation such as limitations of the data and
sources of error are discussed.
Weaknesses related to some of the controlled variables are discussed.
Weaknesses related to precision of measurements/variation of data are discussed.
Evidence of clear understanding of the methodological issues involved in establishing
the conclusion.
Realistic and relevant suggestions for the improvement are discussed.
Realistic suggestions for relevant extension is discussed.