Two-Way ANOVA 1 (1) Flashcards
Which statistical test would be most appropriate to carry out in order to assess the effect of a categorical independent variable with two levels on a dependent variable?
A t-test.
Which statistical test would be most appropriate to carry out in order to assess the effect of a continuous independent variable on a dependent variable?
A linear regression test.
Which statistical test would be most appropriate to carry out in order to assess the effect of a categorical independent variable involving more than two groups, or more than one categorical independent variable, on a dependent variable?
An ANOVA test.
Which statistical test would be most appropriate to carry out in order to assess the effect of both a placebo group and a drug group on an unspecified dependent variable?
A t-test.
Which statistical test would be most appropriate to carry out in order to assess the effect of a placebo group and two separate drug groups on an unspecified dependent variable?
An ANOVA test.
Which kind of ANOVA test would be most appropriate to carry out if we have one independent variable (and therefore have a one-way experimental design)?
A one-way ANOVA.
Which kind of ANOVA test would be most appropriate to carry out if we have two independent variables (and therefore have a two-way experimental design)?
A two-way ANOVA.
Which kind of ANOVA test would be most appropriate to carry out if we have three independent variables (and therefore have a three-way experimental design)?
A three-way ANOVA.
What would be the null hypothesis for a one-way ANOVA?
That the mean of the independent variable’s first condition (as it relates to the dependent variable) is equal to the mean of the independent variable’s second condition, which is equal to the mean of the independent variable’s third condition.
What would be the alternative hypothesis for a one-way ANOVA?
That the null hypothesis is not true.
What does a one-way ANOVA aim to investigate?
Whether assuming several separate means according to the number of conditions of the independent variable leads to a significantly shorter distance between each datapoint and each separate condition’s mean, compared to the distance between each datapoint and the group mean.
What is the equation to calculate the F statistic?
F = variance explained by the ANOVA model/ residual variance
What does the F statistic compare?
The variance explained by the ANOVA model (the distance between each condition’s mean) with that not explained by the ANOVA model (the distance between each datapoint and the group mean).