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Research Methods (Data handling) PT 6 - Coggle Diagram
Research Methods (Data handling) PT 6
Types of quantitive data
Nominal - data that has been put into categories eg. how many participants did this etc
ordinal - data that can be ordered and ranked (eg. rating happiness out of 5)
Interval - data that has set, universal intervals eg. measuring heart-beat using beats per minute
Inferential testing
objective way or analysing quantative data
testing the probability of the relationship you found being due to chance
in order to check the probability of something, need to set a significance level
more than 5% (significance level) have to show this - allows us to say if this is significant or not (shows change in behaviour - not by chance - something in the experiment that has caused that difference)
8 different types, identify which one is the correct one to use
3 things need to identify to decide
measurment (have you got nominal, ordinal or interval data?)
is it testing a difference or a relationship
if it is looking for a difference, what experimental design was used
7 marks -
memorise photo of table
The Test Table (carrying out inferential test to analyse significance)
The Sign Test
work everything out (find calculated and critical value)
test of difference, using nominal data, repeated measures design
directional - one tailed and non-directional is two tailed (giving two potential outcomes)
step 1 - assign a symbol -+0 to data
step 2 - calculate all the - + and 0s
all participants that have 0 will be removed from the data
smallest number of + or - becomes the calculated value
calculated/observed value (significance my study has found)
critical value (a value you are comparing against your calculated one)
other tests
calculated value will always be given to you
unrelated T test and Pearsons test - count up all the participants that can be applied and minus 2!!
related T test - minus 1 from valid number of participants
Chi Test
(columns of data -1) x (rows of data -1) = df
TYPE 1 AND TYPE 2 ERRORS
Type 1 - state there is a significance when they're not, usually because they have been too lenient with their significance level
Type 2 - when they say there isn't a significance but there actually is one, happens because they've been too strict