:) Richness of detail results in a broader scope and wider understanding of researched topic, resulting in greater external validity
:( Difficult to analyse, cannot be statistically tested for patterns and comparisons to derive conclusions from. Therefore data may be hard to identify and rely on subjective interpretations -> may equal bias and reduces internal validity
Quantatitive data strengths/weaknesses
:) Easy to carry out generating data that can be statistically analysed for patterns and similarities to derive conclusions and generalisations (high internal validity)
:) Objective, therefore reduces risk of bias (out of researchers hands)
:( May lack real-life representivity due to being a more surface level/numerical measure, therefore lacks EV
