Data

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  • Descriptive Statistics
    • Types of Data
      • Quantitative
        • data in the form of numbers (numerical data)
        • Strengths
          • see cause and effect
          • easy to analyse (objective)
          • reliability checks can happen
        • Weaknesses
          • can distort the truth
          • easily biased
          • no context
      • Qualitative
        • data in the form of words
        • Strengths
          • gives depth and context
          • less biased
          • more holistic
        • Weaknesses
          • hard to analyse (subjective)
          • difficult to compare
          • hard to replicate
          • open to interpretation
      • Primary
        • data collected by the researcher themselves
        • Strengths
          • will fit the needs of the experiment
        • Weaknesses
          • time consuming
          • costly
          • Potentially biased
      • Secondary
        • data collected by someone else
        • Strengths
          • saves time and money
        • Weaknesses
          • may not be appropriate or fit the needs of the study
          • Data may be misunderstood
    • Levels of Data
      • Nominal
        • data that is separated into categories
      • Ordinal
        • data is ordered in some way
      • Interval
        • data where the units of measurement are equal

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