Types of data

• Types of data

  Qualitative

  quantitative

  primary

  secondary

  mata- analysis
• what is Qualitative data 


  Interpretation bases data- word

  . Can be collected through semi or unstructured interviews and open questions

  . Gives insight to human experiences, opinions and feeling
• Evaluate qualitative data 


  ✅ more detail to give meaningful insight so responses can be generalized

  ❌can be subjective as interpretations rely on the judgement of the researcher = can be bias
• Quantitative data 


  . Number based

  . Can be gained from observations, correlation and questionnaires
• Evaluate quantitative data 


  ✅easier to analyse, make comparisons and convert to graphical format = more objective

  ❌ responses gained are narrow so they can lack meaning and context, therefore not a true representation of real life= lacks validity
• What is primary data 


  . Collected for a specific reason and reported by the original researcher

  . Data that participants report to the researcher or is witnessed first hand
• Evaluate primary data 


  ✅authentic data collected for a specific investigation that suits the aim of investigation

  . Therefore gives a high level of control= and is relevant to investigation

  ❌ time consuming so researchers should try use secondary data to save time, effort and money
• What is secondary data 


  . Info collected by other researchers for a purpose other than the investigatio

  . this data already exists
• Evaluate secondary data

  ✅ info already exists so is less time- consuming and cheaper to collect. = easier than primary data

  ❌ poor quality so some may be little to no value to researchers

  ❌incomplete or inaccurate info which challenges validity
• What is meta analysis 


  Combining data from a large number of studies which have investigated the same aim/ hypothesis

  an overall conclusion is then drawn
• Evaluate meta analysis 


  ✅ greater confidence for generalization as it increases validity

  ❌ bias- researchers may choose to omit certain findings which doesn’t accurately represent all of the relevant data