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Can ANOVA have continuous variables?
One-way ANOVA has one continuous response variable (e.g. Test Score) compared by three or more levels of a factor variable (e.g. Level of Education). Two-way ANOVA has one continuous response variable (e.g. Test Score) compared by more than one factor variable (e.g. Level of Education and Zodiac Sign).
Can dependent variables be continuous?
If the dependent variable is a continuous one, the researcher will use linear regression analysis. Otherwise, if the dependent variable is dichotomic, one could use logistic regression analysis. In both linear and logistic regression analyses the independent variables may be either continuous or categorical.
Which is the continuous variable in one way ANOVA?
The (continuous) dependent variableis defined as the variable that is, or is presumed to be, the result of manipulating the independent variable. In the One-way ANOVA, there is only one dependent variable – and hypotheses are formulated about the means of the groups on that dependent variable.
Can a one way ANOVA be used for repeated measures?
There are many complex designs that can make use of repeated measures, but throughout this guide, we will be referring to the most simple case, that of a one-way repeated measures ANOVA. This particular test requires one independent variable and one dependent variable.
What are the three assumptions of an ANOVA?
The Wikipedia page on ANOVA lists three assumptions, namely: Independence of cases – this is an assumption of the model that simplifies the statistical analysis. Normality – the distributions of the residuals are normal. One may also ask, how many dependent variables are there in two way Anova?
When do observations need to be independent in ANOVA?
If an observation provides no information about the value of another observation, the observations are independent. If an observation provides information about another observation, the observations are dependent. ANOVA assumes that all of the groups have the same standard deviation.