Quantitative & Qualitative (Data)
Quantitative - Numerical Data. Data that produces a number e.g. recording the number of
aggressive acts.
STRENGTHS
Easy to analyse - Numerical data used. Test with statistics / compare for patterns and trends.
Objective (scientific) - less open to bias as data does not need to be interpreted.
Precise - uses numbers instead of words.
LIMITATIONS
Lacks detail - It doesn’t explain the reasons behind behaviour.
Qualitative - Data expressed in words or phrases. E.g. a written description of thoughts and
feelings.
STRENGTHS
More detail - gives more insight into behaviour
LIMITATIONS
Difficult to analyse - cannot make trends or patterns to draw conclusions
Subjective - open to bias as the data has to be interpreted
Oversimplifies behaviour
Quantitative - Numerical Data. Data that produces a number e.g. recording the number of
aggressive acts.
STRENGTHS
Easy to analyse - Numerical data used. Test with statistics / compare for patterns and trends.
Objective (scientific) - less open to bias as data does not need to be interpreted.
Precise - uses numbers instead of words.
LIMITATIONS
Lacks detail - It doesn’t explain the reasons behind behaviour.
Qualitative - Data expressed in words or phrases. E.g. a written description of thoughts and
feelings.
STRENGTHS
More detail - gives more insight into behaviour
LIMITATIONS
Difficult to analyse - cannot make trends or patterns to draw conclusions
Subjective - open to bias as the data has to be interpreted
Oversimplifies behaviour