Choosing Stats tests Flashcards
When do you you an X2 (squared) test for differences?
when you are looking at frequencies
with an expected outcome
when do you use an X2 (squared) test for associations?
when you are using frequencies
testing for an association with categorical data
when do you use logistic regression?
using frequencies
testing for an association
using data of measurements/ranks
When do you use a one-sample t-test?
- data used is measurements/ranks
- looking at differences between these
- using one set of measurements/ranks
What is a paired t-test also known as?
Wilcoxon matched pairs test
When is a paired t-test/ Wilcoxon matched pairs test used?
Data used is measurements/ranks
looking at differences between 2 sets of measurements
which are paired
what is a two-sample t-test also known as?
Mann-Whitney U
When is a two- sample t-test/ Mann- Whitney U used?
- data is in measurements/ranks
- looking at differences between 2 sets of measurements
- these 2 sets aren’t paired
What is repeated measures ANOVA also known as?
Friedman test
When is repeated measures ANOVA/ friedman test used?
- data used is measurements/ ranks
- looking at differences between more than 2 sets of measurements
- these aren’t paired measurements
What is one-way ANOVA also known as?
Kruskal Wallis test
when is One-way ANOVA used?
- when data is given in measurements/ ranks
- looking at differences between more than 2 measurements
- investigating the effect of one factor alone
- no matched pairs in data
When is Nested ANOVA used?
- data is given in measurements/ranks
- looking at differences between more than 2 sets of measurements
- investigating the effects of 2 factors together, where one factor is merely a set of replicated within another
What is 2-way ANOVA also known as?
Scheirer-Ray- Hare test
When is two-way ANOVA used?
when looking at measurements/ranks
looking for differences
with more than 2 sets of measurements
investigating the effect of 2 factors together where factors aren’t merely a set of replicates within another
