Psychology - Research Methods - Types of Data Flashcards
Nominal (discrete) data
Data are in separate categories. A person can only be placed in one category and not another
What’s an example of nominal data?
Grouping people according to favourite television show or eye colour
ordinal data (continuous)
Data ordered or placed in a rank
What’s an example of ordinal data?
Make a list of music genres in order of liking or who scored the highest to lowest in IQ test
Interval data (continuous)
Data measured in units of equal intervals
What is an example of interval data
Miles or centimetre. Or how stressed are you on a scale of 1-10
Quantitative data
Data that is measured in numbers of quantities, includes closed questions or tallies
What are the advantages of quantitative data?
- Easier to analyse that qualitative so comparisons, trends and patterns are easily drawn - Data is more objective and less open to bias than qualitative data
What are the disadvantages of quantitative data?
- Lacks validity and means we might not be measuring the key variables identified in the aim - Lacks meaning and consists of numbers or yes and no answers so doesn’t give context
Qualitative data
Descriptive data that cannot be counted or quantified, it includes open questions in questionnaires and describing what was seen in an observation
What are the advantages of qualitative data?
Can gain lots of detailed data, High in validity and measures concepts and ideas stated in the aim
What are the disadvantages of qualitative data?
Data is unreliable so if it was to be repeated it would be unlikely that the same results would be gained. May be subjective when you analyse the detail and it may be difficult to generalise and make conclusions
Primary data
Information observed or collected directly from first-hand experience.
secondary data
information that already exists somewhere, having been collected for another purpose
meta-analysis
a procedure for statistically combining the results of many different research studies