Psych_315 quiz 9

A 2 × 2 between-subjects factorial design with ten scores per cell requires ___ participants.

40

The SSError in a one-factor between-subjects analysis of variance represents the variation __.

of scores within the treatment groups

If the critical difference for the Tukey test equals 3 for α equal to .05, then a difference between means of 10 and 5 for two groups is ___, ____.

statistically significant; p < .05

Factorial designs are research designs in which ___ independent variable(s) is/are simultaneously varied.

two or more

A 3 × 3 design has ___ independent variables with __ levels for each.

two; three

Suppose an experiment had a total of 45 participants who were randomly assigned to one of three groups with 15 participants in each group. The df for the SSError would equal __.

42

Suppose a 2 × 2 between-subjects design had 11 participants randomly assigned to each cell. The df for SSTotal are equal to __ and the df for SSError are equal to __ for the analysis of variance of this design.

43; 40

If the results of an experiment using a one-factor between-subjects analysis of variance were reported as F(4, 70) = 2.96, p < .05, then you can determine that ___.

Fobswas2.96

The systematic variation between groups in a one-factor between-subjects analysis of variance is reflected in ___.

MSA

An interaction in a factorial design is defined as ____.

a situation in which the effect of one independent variable depends upon the level of the other independent variable

If the independent variable has no effect in a one-factor between-subjects analysis of variance, then the F statistic will ____.

be approximately 1.00

Which of the following equations is correct for partitioning a score in a one-factor between-subjects analysis of variance? Select one: a. X−XA=(X−X¯G)+(XA−X¯G) b. X¯A−X¯G=(X−X¯G)+(X¯G−X¯A)) c X−X¯G=(X¯A−X¯G)+(X−X¯A) d. X−X¯G=(X¯A−X¯G)−(X−X¯A))

c. X−X¯G=(X¯A−X¯G)+(X−X¯A)

A main effect of an independent variable in a factorial design is defined as the __.

effect of one independent variable averaged across levels of the other independent variable