10- Independent Measures Design Flashcards
independent-measures design
research designs that are used to obtain the 2 sets of data
what are the 2 categories of independent-measures design
1) repeated measures (within-subject)
2) independent groups (between-subject)
repeated measures (within-subject):
the 2 sets of data come from the SAME GROUP of participants
independent groups (between-subject):
the 2 sets of data come from 2 completely SEPERATE groups of participants
what is the goal of an independent-measures research study?
the goal is to evaluate the mean difference between 2 populations
what is the null hypothesis stating for independent measures:
there is no difference between the means
what is the alternative hypothesis stating for independent measures:
there IS a mean difference
the formula of degrees of freedom for independent measures:
df = (n1 + n2) - 2
the two populations from which the samples are selected must have ____________.
the two populations from which the samples are selected must have equal variances.
homogeneity of variance:
the 2 populations being compared must have the SAME SAMPLE VARIANCE, with LARGE DISCREPENCY between sample sizes.
what does Hartley’s F-Max provide?
Hartley’s F-Max provides a method for determining whether the homogeneity of variance assumption has been SATISFIED
how do you compute Hartley’s F-Max ?
FMAX = largest sample variance (s²) / smallest sample variance (s²)
