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Assessment Requirements

The assessment for this part of the course comprises of two elements. Both elements will have in-class support time dedicated to the assessment to allow for formative feedback to be provided to students.

Overall Assessment Weighting (25% of 60 credits)

Part 1: EDP Method Section 12.5%

Part 2: PsychoPy Experiment 12.5%


Assessment Deadline

The deadline for both parts of the assessment is 24th May 2024 and 12 noon (MIDDAY)

Please ensure that you leave enough time as each part myust be submitted to different parts of the Moodle. This information is clearly detailed in the Submission Guidance. It is strongly suggested that you read this well in advance of submission

Please be aware that as this deadline is so late in the academic year there will be no representation opportunity. If you fail this assessment your next opportunity to take the assessment will be in August 2024


Detailed Requirements

Part 1: EDP Method Section (12.5%)

To comprise of a Design, Materials & Procedure Section of a Method section submitted as a Word Document, in the format of a method section of a psychological journal (600 words maximum). It should be written in a scientific style and specify:

Design

  • the type of study design you are proposing to use
  • IVs and Levels
  • DVs

Materials

Describe the parameters that you set to control your stimuli in the experiment to allow a reader to replicate your study. This should include how you selected your simuli for each condition. See the Stimuli section of the starter reference for an example.

Procedure

Describe how a participant would run the task in a manner that allows a reader to replicate your study. See the Procedure section of the starter reference for an example.

References (APA Style)

  • In-text Citations
  • A reference Section

Part 2: PsychoPy Builder Experiment (12.5%)

  • .psyexp format with any associated files
  • Participant instructions
  • Practice block with 8 trials, with feedback
  • Trial block with 36 trials which must collect accuracy and RT data
  • Debrief

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