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TYPES OF DATA - Coggle Diagram

- - - - Perfectly fits the study, as it has been designed for this specific purpose, and the researcher has control over it. Although, this requires more time and effort for the researcher.
    - - This requires more time and effort for the researcher.
- - - - Qualitative data is rich, in detail, and properly reflects human experiences and behaviours, so is higher in internal validity than quantitative. EXTERNAL VALIDITY BECAUSE IT PROVIDES RESEARCHER WITH A MORE MEANINGFUL INSIGHT INTO THE PARTICIPANT'S WORLDVIEW.
    - - OFTEN DIFFICULT TO ANALYSE BECAUSE IT TENDS NOT TO LEND ITSELF TO BEING SUMMARISED STATISTICALLY SO THAT PATTERNS AND COMPARISONS WITHIN AND BETWEEN DATA MAY BE HARD TO IDENTIFY
- - - - Qualitative data is rich, in detail, and properly reflects human experiences and behaviours, so is higher in internal validity than quantitative.
    - - Quantitative data is much easier to analyse and draw conclusions from, and is less open to bias and subjective opinion than qualitative data.
        QUANTITATIVE DATA IS MUCH NARROWER IN MEANING THAT QUALITATIVE DATA AND MIGHT NOT REPRESENT REAL LIFE.