1/13
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced |
---|
No study sessions yet.
nominal data is also referred to as
categorical data
nominal data defintion
where numbers usually refer to people in categories
how frequently something occurs
example of nominal data
how many people are right handed and left handed
appropriate descriptive statistics for nominal data
percentage
ratio
pie chart
bar chart
ordinal data defintion
where the scores obtained are on a numerical scale
can be out in rank order
however the units of measurement are not of equal, definable size
usually based on opinion so tend to be subjective rather than objective
appropriate descriptive statistics for ordinal data
mean
mode
ratio
percentage
line graph
histogram
pie chart
interval data defintion
data is on a numerical scale with unit of equal, definable data
data is objective e.g. reaction time, height
appropriate descriptive statistics for interval data
mean
median
mode
strengths of nominal data
easy to generate from closed questions, so large amount of data collected increasing reliability
quick to find mode to assess central tendency
weaknesses of nominal data
without linear scale ppts are unable to express degrees of response
can only use mode as a measure of spread, no median and mean
strengths of ordinal data
more informative rather than nominal data
easy to generate from likert and rating scales
median can be used as on linear scale, as well as mode
weaknesses of ordinal data
gaps between the groups are only relative - so comparisons may be invalid as ppts may interpret the scale differently
gaps between groups are not equal so a mean cannot be used to assess central tendency
strengths of interval data
more informative - points are directly comparable because they are equal
easy to generate from closed questions
scientific measurement - highly reliable
weaknesses of interval data
in interval scales that are not scientific measures there is no absolute baseline
this means scoring zero may not mean the ppt does not demonstrate that variable at all, merely may mean than the scale does not measure it