Maths Flashcards
What is quantitative data
Data in numbers
Strength of quantitative data
Easier to analyse
Data is on numbers which can be summarised using descriptive stats
Easier to draw conclusions
Weakness of quantitative data
Can oversimplify human experience as it only suggests simple answers
Does not tell us why
What is qualitative data
Data in words or pictures. NOT numbers
Strength of qualitative data
Shows the true nature of human behaviour. Not reduced to numbers
Provides rich details
Weakness of qualitative data
More difficult to see patterns and draw conclusions
What is primary data
Collected by the researcher to use in the current study
Strengths and weakness of primary data
+ data collection can be designed to fit the aims of the study
- lengthy and expensive. Recruiting participants, planning and car eh isn’t out studies take a long time
What is secondary data
Data was collected for another purpose e.g. government statistics
Strengths and weakness of secondary data
+ simpler, quicker and cheaper to use someone else’s data
+ statistical testing may already tell us whether data is significant
- data may not exactly fit the the needs of the study
What is nominal data
Data is in separate categories
Examples:
Height- tall medium short
Gender
Hair colour
Nationalities
Strength and weakness of nominal data
+ easy to generate from closed questions, large amounts of data can be collected quickly
- no linear scale, participant may be unable to express. Can’t use mode.
What is ordinal data
Data is ordered in some way
Example:
Each person lines up in order of height.
Places in a contest or race
Strengths and weakness of ordinal data
+ indicates relative values on a linear scale instead of a total, provided more info
- gaps aren’t equal, so can’t use mean
What is interval data
Data is measured using units of equal intervals
Example:
Measuring everyone’s height in cm
IQ tests