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Qualitative data
Written data - allows the participant to expand their answers, provide descriptive accounts
E.g interviews - interpretivists prefer this - allows us to understand experiences
Quantitative Data
Numerical data - preferred by positivists
Needed if the researcher is testing a hypothesis
Strengths and weaknesses of quantitative
Reliable
Objective
Can get trends
Gain large sample - make generalisations
Practical - cost-effective
Not valid
Lack of depth
May be biased in questions asked
Time-consuming - response rate of 10%
Strengths and weaknesses of qualitative
Valid
Respondent can speak in own words
Gain insight into hard to reach groups - criminals
Build a rapport - improves validity
Unreliable
Can’t quantify
Lack of representativeness - can’t make generalisations
Low in objectivity - interviewer bias