Rubric For Grading Independent Project

PLANNING (a)

	ASPECTS
LEVELS	Defining the Problem/research question	Formulating a hypothesis (prediction)	Selecting variables
Complete	The problem/research question is stated clearly	The hypothesis (prediction) is directly related to the research question and it is explained	The key variable(s) are selected
Partial	The problem/research question is stated, but it is unclear or incomplete	The hypothesis (prediction) is stated, but it is not clearly explained	Some variables are selected
Not at all	No problem/research question is stated	No hypothesis (prediction) is stated	No variables are selected.

PLANNING (b)

	ASPECTS
LEVELS	Designing a method with appropriate apparatus/materials	Designing a method for control of variables	Designing a method for collection of raw data
Complete	Appropriate apparatus/materials are selected	A method that allows for the control of the variables is designed	A method that allows for collection of sufficient relevant data and excludes
Partial	Some appropriate apparatus/materials are selected or some essential features are missing	A method that makes some attempt to allow for the control of variables is designed.	A method that allows for the collection of insufficient relevant data or both relevant and irrelevant data , is designed
Not at all	No apparatus/materials are selected	A method that makes no attempt to allow for the control of variables is designed	A method that allows for the collection of only irrelevant data is designed or not method is designed

DATA COLLECTION

	ASPECTS
LEVELS	Observing (collecting) and recording raw data	Presenting Raw Data
Complete	Raw data (quantitative) is recorded appropriately, including units and uncertainties where necessary	Raw data is presented clearly, allowing for easy interpretation
Partial	Some raw data is recorded	Raw data is presented in a disorganized manner.
Not at all	No raw data is recorded	Raw data is presented incomprehensible or is missing

DATA ANALYSIS

	ASPECTS
LEVELS	Transforming and manipulating (processing) raw data	Presenting processed data
Complete	The raw data is processed correctly to produce results that help interpretation; where appropriate, error analysis is included	Data/results are presented appropriately and effectively; where relevant, errors and uncertainties are taken into account
Partial	Some processing of the raw data is made (attempted) or errors are made in processing the data	Data/results are presented appropriately, but not very effectively; where relevant, errors and uncertainties are not taken into account
Not at all	No processing of raw data is carried out	Data/results are presented inappropriately or are presented incomprehensibly or are absent

EVALUATION

	ASPECTS
LEVELS	Evaluating (interpreting) results (drawing conclusions)	Evaluating procedures	Modifying the procedures
Complete	A valid conclusion (based on the correct interpretation of the results), with an explanation, is given; where appropriate, results are compared with literature values.	The procedure (apparatus, materials and method) including limitations, weaknesses or errors in manipulation, is evaluated (discussion of the limitations of data analysis may be included	Suggestions to improve the investigation following the identification of weakness(es) are stated.
Partial	A conclusion that has some validity	The procedure (apparatus, materials and method) is evaluated partially, but some obvious limitations or errors are missed; irrelevant points may be made	Suggestions to improve the investigation are stated but are simplistic.
Not at all	A conclusion that completely misinterprets the results is drawn or no conclusion is drawn	The procedure (apparatus, materials and method) is evaluated superficially or the evaluation is completely irrelevant or is absent	Suggestions are unrealistic or no suggestions are made