Statistical testing Flashcards
Unrelated design (Independant design)
C
M
U
- Chi-squared
- Mann-whitney
- Unrelated T-Test
Related Design (Repeated measures)
S
W
R
- Sign Test
- Wilcoxon
- Related T-test
Test of association or Correlation
C
S
P
Chi-squared
Spearmans’s Rho
Pearson’s R
Ordinal data
example mean
M
W
S
Mann-whitney
Wilcoxon
Spearman’s Rho
Nominal Data
Chi-squared
Sign Test
Interval data
U
R
P
Unrealted T-Test
Related T-Test
Pearson’s R
Mnemoic
Carrots should come Mashed With Swede Under Roast Potatoes
N =Carrots Should Come
O = Mashed With Swede
I = Under Roast Potatoes
Unrelated design
- Chi-squared
- Man whitney
- Unrelated T-test
Related design
- Sign test
- Wilcoxon
- Related
Test of association or correlation
- Chi-squared
- Spearmans rho
- Pearson’s R
Type I error
If significance level is too lenient e.g 0.1 (10%) it can result in the null hypothesis being rejected when it is the case (optimistic error or a false positive) as the researcher claims to have found a significant difference/correlation when one does not exist.
A Type II error
If significance level is too stringent e.g. 0.01 (1%), it is possible that is the null hypothesis will be accepted when in fact it is false (pessimistic error or a false negative).
Define what is meant by the critical value
Step one of sign test
State the hypothesis.
- If hypothesis is directional = One tailed test
- If hypothesis is non-directional = Two tailed test
Step two of sign test
Record the data and workout the sign where the pair of data is (+) or (-)
Find calculated value
S is found by calculated by adding up the pulses and adding up the minuses and selecting the smaller value.
S= calculate value
Step 4 of sign test
Find cirtical value of S
- N = total number of scores (Ignore all zeros)
Then use table of critical values and locate column 0.05
Step 5 of the sign test
If the hypothesis is directional check that the result is expected direction
