data in a numerical form which can be put into categories, rank order, or measured in units of measurement
can be used to construct graphs and tables of raw data
some examples of quantitative data include
closed answer questionnaires
data collected in experiments
observations- tallies on behaviour checklists
a strength of quantitative data is that its easier to analyse numerical measurements compared to descriptive qualitative data & make comparisons/conclusions
however it may lack validity as numbers may over simplify reality, eg closed answer questions may not represent ppts true feelings
qualitative data is descriptive rather than quantified or counted, therefore it is observed/reported rather than measured
name some examples of qualitativedata
case studies
open answer questionnaires
observations- description of behaviour observed eg Milgram
content analysis - converts qualitative data into quantitative data
qualitative datas strengths include high validity because this type of data provides detailedinformation which provides insights into ppts true thoughts/behaviours, so more meaningful conclusions can be made