In an ANOVA, the computation of MS is analogous to the computation of In a mixed

Question

In an ANOVA, the computation of MS is analogous to the computation of

In a mixed factorial, A x B design, where variable A has 3 levels manipulated between-participants, and variable B has 4 levels, how many participants are needed if each condition requires 12 participants?

A repeated measures ANOVA is more powerful than a non-repeated measures ANOVA when the

In a within-subjects analysis of variance, the F ratio compares _____________ to _____________.

between-condition variability; explained variability

In a 2 x 4 x 3 x 5 non-repeated measures, factorial design, there are ________ conditions, and ________ independent variables.

How many analyses (viz., main effects and interactions) can be analyzed in an ANOVA for a 2 x 2 x 2 design?

In a fully between-subjects factorial, A x B design, where variable A has 2 levels manipulated between-participants, and variable B has 5 conditions, how many participants are needed if each condition requires 8 participants?

When data are measured on a nominal scale, which of the following can be used to detect a relationship between 2 variables?

Explanation / Answer

Answers :

1) In an ANOVA, the computation of MS is analogous to the computation of : Estimated varinace

2) In a mixed factorial, A x B design, where variable A has 3 levels manipulated between-participants, and variable B has 4 levels, how many participants are needed if each condition requires 12 participants? : 144 as (3*4*12) = 144

3) A repeated measures ANOVA is more powerful than a non-repeated measures ANOVA when the : conditions are correlated with the DV.

4) In a within-subjects analysis of variance, the F ratio compares _____________ to _____________. between-condition variability; explained variability

5)

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