Fichas
Requirements for tests
Fichas del conjunto (10)
- 1Paired t-test-Parametric
-Within
-Scale, normal distribution
-Purpose is to test if two means within the same group of pp's are significantly different. - 2Independent t-test-Parametric
-Between
-Scale, normal distribution, equal variances.
-Purpose is to test if two means between different groups of pp's are significantly different. - 3Pearson Correlation-Parametric
-Within
-Scale, normal distribution
-Used to test if the scores on two separate variables vary proportionately (+ve, -ve). - 4Wilcoxon-Non Parametric
-Within
-Ordinal (skewed) data
-used to test if ranks in one condition are significantly larger or smaller than the ranks in the other condition. - 5Mann Whitney-Non Parametric
-Between
-Ordinal data
-To test if ranks in one condition are significantly larger or smaller than the ranks in the other condition. - 6Spearman Correlation-Non parametric
-Within
-Ordinal data
-Purpose is to test if the scores on two separate variables vary proportionately. - 7Chi SquareNon parametric
Between
Nominal data
-to test if the no. of pp's in one category is significantly different from the no. in another. - 8McNemarNon parametric
Between
nominal data
-To test if the no. of pp's in one category is significantly different from the no. in another. - 9Type 1 ErrorThe null is rejected when it should be retained.
Conclude that there IS a significant difference when there is NOT. - 10Type 2 ErrorNull is retained when it should be rejected.
We can conclude that there is NO significant effect when there IS.
Información
- Descripción
- Fichas sobre Requirements for tests, creado por kiren bains el 02/05/2016.
- Creado por
- kiren bains · may 2016
- Actualizado
- 5 may 2016
- Visitas
- 3
- Valoración