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1
Q

Wilcoxon

A

find difference between scores,
rank difference ( find middle)
add up rank if positive and rank if negative and use the smaller value
that’s ur T
if calculated value of T is less than critical value at 5% for one tailed test then it’s significant

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2
Q

Mann-Whitney U test

A
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3
Q

Spearman’s rank?
When do u use it
how

A

correlational study

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4
Q

correlational study

A

relationship between two variables
- not experiments , no IV or DV just co variables
uses spearman’s rank
we put the data into scatter graph
investigates strength and direction, strength is expressed by correlation coefficient

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5
Q

correlation coefficient

A

expressed between -1 and +1
closer to -1(perfect negative correlation)
closer to +1(perfect positive correlation)
correlation with 0 means no correlation

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6
Q

Spearman’s rho- equation

A

1- 6 sum of D2/n(n2-1)

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7
Q

spearman’s rho -ranking

A

rank columns separately

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8
Q

spearman’s conclusion

A

if it’s close to 1 there is a strong + correlation
close to -1 strong - correlation
( one tailed look at 0.05)
must be equal to or bigger to be sig
as calculated r value is greater than/ equal to the critical value the correlation is significant

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