International Baccalaureate

Internal Assessment Criteria

Design

Levels

Aspect 1

Aspect 2

Aspect 3

Defining the problem and selecting variables

Controlling variables

Developing a method for collection of data

Complete

Formulates a focused problem/research question and identifies the relevant variables.

Designs a method for the effective control of the variables.

Develops a method that allows for the collection of sufficient relevant data.

Partial

Formulates a problem/research question that is incomplete or identifies only some relevant variables.

Designs a method that makes some attempt to control the variables.

Develops a method that allows for the collection of insufficient relevant data.

Not at all

Does not identify a problem/research question and does not identify any relevant variables.

Designs a method that does not control the variables.

Develops a method that does not allow for any relevant data to be collected.

Data collection and processing

Levels

Aspect 1

Aspect 2

Aspect 3

Recording raw data

Processing raw data

Presenting processed data

Complete

Records appropriate quantitative and associated qualitative raw data, including units and uncertainties where relevant.

Processes the quantitative raw data correctly.

Presents processed data appropriately and, where relevant, includes errors and uncertainties.

Partial

Records appropriate quantitative and associated qualitative raw data, but with some mistakes or omissions.

Processes quantitative raw data, but with some mistakes and/or omissions.

Presents processed data appropriately, but with some mistakes and/or omissions.

Not at all

Does not record any appropriate quantitative raw data or raw data is incomprehensible.

No processing of quantitative raw data is carried out or major mistakes are made in processing.

Presents processed data inappropriately or incomprehensibly.

Conclusion and evaluation

Levels

Aspect 1

Aspect 2

Aspect 3

Concluding

Evaluating procedure(s)

Improving the investigation

Complete

States a conclusion, with justification, based on a reasonable interpretation of the data.

Evaluates weaknesses and limitations.

Suggests realistic improvements in respect of identified weaknesses and limitations.

Partial

States a conclusion based on a reasonable interpretation of the data.

Identifies some weaknesses and limitations, but the evaluation is weak or missing.

Suggests only superficial improvements.

Not at all

States no conclusion or the conclusion is based on an unreasonable interpretation of the data.

Identifies irrelevant weaknesses and limitations.

Suggests unrealistic improvements.