factorial research design

Question 1

factorial experiments

Answer 1

experiments where multiple independent variables are manipulated

Question 2

factor

Answer 2

independent variable of an expeeriment: each numeral is an IV/factor

Question 3

level

Answer 3

values of the independent variable: value of the numeral indicates the number of levels for the IV

Question 4

Condition

Answer 4

how the group is treated in the experiment

Question 5

2x2 factorial design

Answer 5

2 independent variables, 2 levels for each IV, 4 conditions

Question 6

2x3x2 factorial design

Answer 6

3 independent variables, 2 levels for first and last IV, 3 levels for second IV, 12 conditions

Question 7

Identifying the main effects

Answer 7

calculate the average of each row/column, if they are different ; there are main effects

Question 8

determine if there’s interaction

Answer 8

if the lines on the graph are not parallel, there is interaction

Question 9

interaction

Answer 9

determines how a combination of factors work together to affect behavior, occurs when one factor has a direct influence on the effect of the second factor

Question 10

determine interaction without a graph

Answer 10

subtract the row and column values from eachother, if they are different there is interaction

Question 11

between-subjects

Answer 11

factorial experiments between different groups of people

Question 12

within subjects

Answer 12

factorial experiments suing different manipulations on the same individuals

Question 13

mixed design

Answer 13

combination of between- and within-subjects, one factor is between-subjects and another factor is within-subjects

Question 14

pure factorial, between groups design

Answer 14

participants are randomly assigned each cell of the design

Question 15

pros and cons of pure factorial, between-groups design

Answer 15

pros: avoid order and sequence effects
cons: individual differences can become cofounding variables increases variance of scores

Question 16

pure factorial, within-groups design

Answer 16

same individuals participate in ALL conditions

Question 17

pros and cons of pure factorial within-groups design

Answer 17

pros: fewer individuals neede, reduces problems due to individual differences
cons: nb of different treatment conditions can be high and time consuimg, participant attrition

Question 18

mixed factorial design

Answer 18

combines both between- and within-subjects design, effect of manipulation on two groups of individuals, used in before-after stuations between 2 groups

Question 19

pros and cons of mixed factorial design

Answer 19

pros: control for unwanted individual differences, while investigating specific individual differences
cons: limits ability to make casual statements about the relationship between variables. limits internal validity

Question 20

advantages

Answer 20

increased external validity, good for theories with 2+ independent variables can only be tested via complex factorial designs

Question 21

disadvantages

Answer 21

too many variables = huge experiments and requirements for multiple conditions, interactions that are not easily interpreted

Question 22

interaction equation

Answer 22

2^F - 1 - F =>F is the nb of factors