FA1 Flashcards
Correlational, ordinal (qualitative)
Spearman’s correlation coefficient
Correlation, interval or ratio (quantitative), non-parametric
Spearman’s correlation coefficient
Correlation, interval or ratio (quantitative), parametric
Pearson’s correlation coefficient
Experimental, independent groups, ordinal
Mann-Whitney u test
Experimental, independent groups, interval or ratio, non-parametric
Mann-Whitney u test
Experimental, independent groups, interval or ratio, parametric
T-test (unpaired)
Experimental, matched participants or repeated measures, ordinal
Wilcoxon-signed ranks test
Experimental, matched participants or repeated measures, interval or ratio, non-parametric
Wilcoxon-signed ranks test
Experimental, matched participants or repeated measures, interval or ratio, parametric
T-test (paired)
Design
* Independent groups design
* Sample Size: 20 participants
Mann-Whitney U
- Independent groups design
- Not normally distributed data as sample is less an 15/group
Why do you use mean as a central tendency?
Because there are no outliers
Why do you use median as a central tendency?
Because there are outliers
Where you are giving your “opinion/rating” =
Ordinal
Where you are stating a “measured” variable e.g. time =
At least interval
Note:
Independent groups design means
two names = Mann-Whitney
E.g. relationship question + answer
The relationship between age and the identification of faces in ambiguous pictures
The relationship is positive and strong
Contrasting current research and previous research
The Pearson correlation coefficient for the current research (0.98) is larger than the Pearson correlation coefficient for previous (0.70) indicating a stronger relationship