operationalisng data

• What type of measures does quantitative data typically use?


  Objective measures, such as numbers
• Why is qualitative data often considered valid?

  Because participants can express themselves
• What does operationalising a hypothesis involve?

  Transforming an abstract concept into something measurable or changeable
• What is the definition of reliability in the context of experiments?

  The ability to replicate the experiment and obtain similar results
• What is a Likert scale used for?

  To convert qualitative data into quantitative data
• What are the key differences between quantitative and qualitative data?

  • Quantitative data:
  • Uses objective measures (e.g., numbers)
  • Easier to analyze statistically
  • Qualitative data:
  • Allows participants to express themselves
  • Provides in-depth insights
• How does operationalising a hypothesis impact research?

  • Makes abstract concepts measurable
  • Allows for manipulation of independent variables (IV)
  • Facilitates measurement of dependent variables (DV)
• define ecological validity

  a measure of how test performance predicts behaviours in real world settings
• name two data types

  qualitative + quantitative