Research Methods Unit 3

Question 1

Single-Factor multi-level design

Answer 1

A design with one independent variable, which has three or more levels

Question 2

What are the two advatnages of a single factor multi-level design

Answer 2

1. Allows for a non-linear interpretation (ex: time as an iv is non-linear while drug dose is linear)
2. Allows the experimentors to ask more questions/ have multiple research hypothesis ( one per level)

Question 3

Why is the Bradford and Johnson study important?

Answer 3

It is an example of a mutli-level experiment design with linear categorization. (and though each level there can be alternate examples that can be disproven with the data if the design is tight)

Question 4

Discrete variable

Answer 4

Variables that are isolated from one another (there is no middle ground between the points)
- use a bar graph to represent these points

Question 5

Continuious variable

Answer 5

A variable that is connected with the other data points and exist on a continious scale
- works best with a line graph

Question 6

Yoked control group

Answer 6

A control group where the control and experimental groups do everything the same expect for one thing. (the manipulation)

Question 7

Example of a yoked control group

Answer 7

In the rat sleep deprivation study the rats enact the same beahvior because they are on the same spinning platform and therfore must output the same amount of exercise otherwise one will fall in the water. This is used to maintain equivalency between groups. (the only difference here being the sleep deprived/ hypervigalent rat vs the non-sleep deprived rat)

Question 8

What makes up a factorial design?

Answer 8

1. The design allows for many questions to be answered
2. Designed to study the interactions between the independent variables
3. Must have at leas two independent variables

Question 9

How do you decipher factorial notation?

Answer 9

1. Dertimine number of factors by counting how many values there are
2. The number of levels is the number written for each variable
3. Number of conditions is defined by multiplying the numbers together

Question 10

What comprises an Independent group factorial design?

Answer 10

1. 2 or more indepedent variables
2. All variables are between subject
3. all variables are manipulated
4. all participant groups are equal
5. All participant groups are randomly assigned

Question 11

What comprises a matched group factorial design?

Answer 11

1. Has 2 or more independent variables
2. All indepdent variables are between subjects
3. all indepdent variables are mainpulated
4. all participant groups are equal
5. all participant groups are matched

Question 12

What comprises an ex post facto factorial design ?

Answer 12

1. Has two more more indepdent variables
2. All independent variables are between subject
3. All indepdent variables are subject variables]
4. all participant groups are not equal
5. The groups are potnetially matched for equivalency

Question 13

What comprises a repeted measures factorial design?

Answer 13

1. Has 2 or more independent variables
2. All independent variables are within subject
3. all independent variables are manipulated
4. All participant groups are either tested once (w/ complete or partial counterbalencing) or more than once with (reverse or blocking counterbalencing)

Question 13

What comprises a mixed factorial design?

Answer 13

1. 2 or more independent variables
2. at least one within and one between subject variable
3. All indepdent variables are manipulated

Question 14

What comprises a mixed PxE factorial design?

Answer 14

1. 2 or more independent variables
2. One between and one within subject indepdent subject
3. One manipulated and one subject variable

Question 15

What comprises a PxE factorial design ?

Answer 15

1. 2 or more independent variables
2. All between subject design
3. At least one manipulated at least one subject