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10 Cards in this Set
- Front
- Back
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factorial design
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when you have a second or third independent variable into their experiments, variables are also referred to as factors
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independent factor design
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several independent variable or predictors and each has been measured using different entities (between groups)
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repeated-measures (related) factorial design
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an experiment in which several independent variables or predictors have been measured but eh same entities have been used in all conditions
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mixed design
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a design in which several independent variables or predictors have been measured some have been measured with different entities whereas others used the same entities
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factorial ANOVA
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Factorial ANOVA measures whether a combination of independent variables predict the value of a dependent variable
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factorial ANOVA
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you can test for homogeneity of variance using the Levene's test and if the value in the column labelled sig is less than .05 then the assumption is violated
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two way ANOVA
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two-way analysis of variance (ANOVA) test is an extension of the one-way ANOVA test that examines the influence of different categorical independent variables on one dependent variable.two-way ANOVA can not only determine the main effect of contributions of each IV but also identifies if there is a significant interaction effect between the IVs
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one way ANOVA
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one-way ANOVA measures the significant effect of one independent variable (IV)
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assumptions when using two-way ANOVA
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The populations from which the samples are obtained must be normally distributed.
Sampling is done correctly. Observations for within and between groups must be independent. The variances among populations must be equal (homoscedastic). Data are interval or nominal. |
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Bonferroni post hoc test
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only accept results that are significant below .05/k as being reliable (where k is the number of comparisons made)
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