Data analysis

• How do you determine mode?

  the most common value.
• How do you determine mean

  calculated by adding all values together and dividing by the number of values.
• What is a limitation of mean?

  This means it takes every single value into account, including outliers. This can skew results
• Range

  A measure of dispersion that is calculated by subtracting the smallest value from the largest value.
• Quantitative data:

  Data that is categorised by numerical values.

  For example height, weight, time.
• Primary data:

  Data that has been collected first hand, by yourself.
• Median:

  The middle value in the data set.
• A limitation of median

  This means it only takes into account the very middle value, ignoring the value of any others

  Not as sensitive as mean data
• Ordinal:

  A level of measurement that refers to variables that can be placed on a scale of relative importance i.e. in order.
• Interval:

  A level of measurement that refers to variables that exist on scale with fixed, standardised intervals.
• Qualitative data:

  Non-numerical data, such as text, video, photographs or audio recordings.
• Strengths of median

  • Not effected by extreme scores
  • Good for ordinal data
• Strengths for mean

  • Uses all values of data
  • Good for interval data
• Limitations of mean

  Influenced by outliers - unrepresetitive
• Strengths of mode

  Used for nominal data
• Limitations of mode

  Not useful if there are many modes
• Secondary data:

  Data that has been collected by someone else.
• Qualitative data strengths

  • Data richness and depth
  • Develop pp opinions = greater external validity
  • More meaningful insight
• Qualitative data Limitations

  • Difficult to analyse
  • Difficult to compare - must be operationalise
  • Researcher bias as conclusions rely on subjective interpretations
• Quantitative data strengths

  Statistically can be analysed and be converted to graphs or charts

  Easier to compare data
• Quantitative data limitations

  • Lack of depth
  • No meaningful insight
  • PPs not able to develop opinions = low external validity
• Define a meta-analysis

  Researchers combines the results from a collection of studies.

  This increases generalisation.
• What is a limitation of meta-analysis

  File draw problem - researcher avoids studies that do not support their own results/beliefs
• Coding:

  A type of analysis wherein huge texts are simplified to certain key words that are aligned with certain themes.
• Thematic analysis:

  A type of data analysis that aims to identify, report and analyse recurring concepts.