30 marks

• Aim:


  Type of data, what am i doing, why this data and who is my sample?
• Hypothesis: (only if quantitative data)

  Prediction - typically directional
• Operationalise:


  The sample, subject, place and why?
• Sample Method:


  Who is my sample? What method will I use? How will I do it? Strengths and weaknesses of the method
• Method:


  Research method? How will I do it? Strengths and weaknesses? Sensitive? Example of questions?
• Procedure:


  GROVER? Pilot study? Literature review? Any bias? Step-by-step how I would do it
• Analysis: (qualitative)


  Content analysis - themes, colour-coded, lists, key words, examples, valid?, hard to do? improve?
• Analysis: (quantitative)


  Graphs and charts to find patterms and trends. Quantify the quantitative data? Is it reliable? Easy to do? How to improve?
• Evaluation:


  Theoretical approach, any strengths and weaknesses, sample? Often change scale size. Recap evaluation of every point.