The EE must have a clear SEHS emphasis focussing on human health and performance in relation to sport and exercise.
Students can base their essay on primary data collected through:
experimentation in the laboratory or in the field
questionnaires
some other appropriate SEHS approach.
Alternatively, essays may be based on secondary data or information obtained from literature or databases. Students must ensure that they have access to sufficient data or information to research and analyse their topic effectively.
Inappropriate topics:
• experiments in which the student is likely to inflict pain on, or cause undue stress to, subjects or compromise their health.
• experiments involving body fluids (as there is a risk of the transmission of blood-borne pathogens).
• studies that require access to, or publication of, confidential medical information.
Students can base their essay on primary data collected through:
experimentation in the laboratory or in the field
questionnaires
some other appropriate SEHS approach.
Alternatively, essays may be based on secondary data or information obtained from literature or databases. Students must ensure that they have access to sufficient data or information to research and analyse their topic effectively.
Generating and presenting data should not be an end in itself; analysis using appropriate techniques is essential. The main body of the essay should consist of an argument or evaluation based on the data or information presented. Here, the students should point out the significance of any graphs, tables or diagrams.
Students should ensure that the main body of the essay is well structured and has an obvious logical progression.
Students should undertake a critical evaluation of the work they have done. In their analysis, the student should describe and explain the limitations imposed on the research by factors such as:
the suitability and reliability of the sources accessed (use Jstor, Questia or Google Scholar)
accuracy and precision of measuring equipment
sample size
validity and reliability of statistics.