Final 2

Question 1

matched groups design for a study involving 3 levels of the grouping variable

Answer 1

matched triplets

Question 2

study involving four levels of the independent variable

Answer 2

matched quadruplets

Question 3

randomized blocks design (RBD)

Answer 3

identify the relevant matching variables, identify k(number of levels of the grouping variable) participants matched on these variables, and randomly assign one participant to each of the k treatments

Question 4

repeated measures design

Answer 4

participants receive the dependent measure procedure on several occasions

Question 5

sources for ANOVA dependent groups design

Answer 5

total, treatment, blocks(or participants), error

Question 6

degrees of freedom for ANOVA dependent groups design

Answer 6

n - 1

Question 7

degrees of freedom for SSerror in dependent groups ANOVA design

Answer 7

N - k - b + 1
OR
DFError = DFTotal - (DFTreatment + DFBlocks)

Question 8

whats the point of matching?

Answer 8

allows researcher to account for variability due to the blocks and remove this from the error term, and this makes SSError smaller which makes MSE smaller, which makes Fobt larger which makes it more likely to reject Ho

Question 9

sphericity

Answer 9

important assumption of a repeated-measures ANOVA. It refers to the condition where the variances of the differences between all possible pairs of groups (i.e., levels of the independent variable) are equal.

Question 10

one assumption of dependent ANOVA is

Answer 10

sphericity

Question 11

lack of sphericity does what

Answer 11

increase probability of type 11 errors

Question 12

concept of sphericity is related to

Answer 12

homogeneity of variance with respect to the difference scores between all possible pairs of treatments

Question 13

DF for SS Total (dependent groups anova)

Answer 13

n - 1

Question 14

DF for SS Treatments (dependent groups anova)

Answer 14

k - 1 (k is levels of treatment)

Question 15

DF for SS Participants (dependent groups anova)

Answer 15

b - 1 (b is number of participants)

Question 16

DF for SS Error

Answer 16

n - k - b + 1

Question 17

to determine if there is an interaction between factors it is necessary to conduct a

Answer 17

factorial design study

Question 18

factorial design anova

Answer 18

studies with two grouping variables

Question 19

factorial designs may be conducted when:

Answer 19

1) between participants, independent factorial design
2) within participants, repeated measures or dependent factorial design
3) mixed factor design/split plot design - one factor is between people, the other is within

Question 20

levels refers to

Answer 20

how many ways the variable is presented (male/female; low/medium/high dose)

Question 21

main effects analyses

Answer 21

examine whether mean performance was affected when acting as if only one factor existed in the study

Question 22

collapsing

Answer 22

reducing number of observations in your data

Question 23

interaction

Answer 23

occurs if the effects of one factor are not the same at all levels of the other factor

Question 24

if you have a factor that only has two levels, what does a significant main effect tell you

Answer 24

that those two levels differ and you do not have to do any subsequent pairwise comparison

Question 25

when you have a study that produces both significant main effects and a significant interaction

Answer 25

interpretative priority is given to the interaction

Question 26

unconfounded comparisons

Answer 26

two means being compared only differ on the levels of one factor while the level of the other factor is held constant

Question 27

confounded comparisons

Answer 27

should never be made. the groups being compared differ on the levels of both factors. you cannot interpret these

Question 28

orthogonal comparisons

Answer 28

when you make comparisons only in the rows, or only in the columns

Question 29

nonorthogonal comparisons

Answer 29

make comparisons in both the rows and columns

Question 30

if we are looking at habituation in groups it is probably a

Answer 30

anova - within participants dependent design