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betweensubjects treatment factor
an independent variable with a > 2 levels in which participants are randomized into a groups

pairwise differences
all differences among the a parameter values

Bonferroni adjustment
adjusted alpha level that allows researcher to be 100(1α)% confident that all v confidence intervals have captured their population parameters

TukeyKramer method
used in a onefactor experiment to allow researhcer to exaimine all possible pairwise comparisons of population means; yields a slightly narrower CI than the Bonferroni method

GamesHowell method
similar to the TukeyKramer method, but does not assume equal populatin variance

linear contrast
C _{j}_{j}, where C _{j} is a coefficient specified by the researcher for each

contrast coefficient
the number assigned to each in a linear contrast

standardized linear contrast
a linear contrast that has been divided by the standardizer so that it is a unitless measure

oneway analysis of variance
a method of assessing the sources of variability in a onefactor designed where the variability is due to the variance of scores within treatments and the mean differences across treatments

between group mean square
the variance due to mean differences across treatments

error mean square
variance of scores within a treatment group, describes the variance due to chance and error

etasquared
describes the proportion of DV variance in the population that is explained by the IV

omegasquared
an adjustment of etasquared that is less positively biased

twofactor experiment
used to assess the causal effect of two IV's on the DV as well as the effect of the interaction of the two IV's

classification factor
a factor with levels to which participants are classified according to some existing characteristic

main effect
the effect of one IV averaged across the levels of the other IV

interaction effect
occurs when the effect of factor A is not the same across the levels of factor B

simple main effect
the difference in means at each level of each IV

stratified random sampling
random samples are taken from two or more different study populations that differ geographically or in other demographic characteristics

pairwise main effect comparisons
comparing the effects of one level of a treatment factor to all other levels of the same treatment factor averaged over the levels of the other treatment(s).

pairwise interaction effects

pairwise simple main effects
a comparison between the mean in any two cells of a factorial experiment

twoway analysis of variance
assesses the source of variability in a factorial design, where the variabiliyt of DV scores is due to: the variance in difference of means across the levels of factor A, the variance in difference of means across the levels of factor B, the variance due to the AB interaction, and the variance of scores within treatments

partial etasquared
measure of the proportion of variability due to the effect of one factor in a factorial design where the effects of all other factors has been removed

partial omegasquared
an adjustment of partial etasquared that is less positively biased

threefactor experiment
an experiment that examines the effects of three different factors to provide information about main effects, simple main effects, and interactions (twoway or threeway)

threeway interaction
a difference in simple twoway interaction effects

simplesimple main effect
the difference in means between two levels of any treatment factor in a threeway design

threeway analysis of variance
the decomposition of the total variance in a threefator design

random factor
occurs when the levels of a factor are randomly selected from a large set of M possible factor levels

fixed factor
occurs when the levels of a factor are deliberately selected by the researcher and are the only factor levels of interest

clustered bar chart
a visual representation of a twofactor design in which the means for the levels of one factor are represented by a cluster of contiguous bars and the levels of the second factor are represented by different clusters

