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When to use a sign test
testing for a difference
repeated measures design
nominal data
Steps to calulate a sign test
work out the difference between two columns
decide whether each difference is positive or negative - results with 0 are cancelled
count the signs
caluculate the S value (smaller of the two signs)
work out if its significant - calculated S value must be equal to or less than the CV to be significant
When to use chi squared
nominal data
independent design
finding difference
testing correlation
When to use spearmans rho
testing correlation
ordinal data
What is the rule of ‘r’
if there is an R in the name, the calculated value needs to be GREATER than the critical value for it to be significant
When to use pearsons R
testing for correlation
interval data
data is normally distributed
When to use an unrelated T test
testing for a difference
independent groups design
interval data
When to use a related T test
testing for a difference
repeated measures design
interval data
When to use Mann-whitney U test
testing difference
independent groups desing
ordinal data
When to use a wilcoxon test
testing difference
repeated measures
ordinal data
What is the T value in a wilcoxon test
the sum of the less frequent sings
What is a null hypothesis
there will be no significant difference in the investigation
What is the significant level
the level of probability at which it is agreed that the null hypothesis will be rejected and the experimental hypothesis accpeted
What is a type one error
False positive - when experiment hypothesis is accepted when the results were chance findings so null should have been accepted
What is a type two error
false negative - when the null is accepted when actually it was a real difference/relationship
Parametric data
certain features (parameters) that the study has to meet to use one
if it doesn’t meet these then a non-parametric test is used
Which tests are parametric
t-test
pearsons r
What tests are non-parametric
sign test
chi squared
mann whitney
spearmans rho
wilcoxon
What is the difference with nominal, ordinal and interval data
nominal - frequency data (tally)
ordinal - ranked data (scales)
interval - anything with a 0 (test score, heart rate)
How to calculate df for an unrelated t-test
N (condition a) + N (condition b) x 2
How to calculate df for a related t-test
N-1
How to calculate df for chi squared
(rows-1) x (columns-1)
How to write a statement of significance
the findings were significant/non-significant at P less than or equal to 0.05. This is because the observed value of ….. is higher/lower than the critical value of …… for a one/two tailed test with n= …..
One-tailed test
checks for a difference in only one direction - directional
Two-tailed test
checks for a difference in either direction - non-directional