Final Exam Flashcards

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1
Q

What is a factorial design?

A

A design with 2 or more independent variables.

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2
Q

What does 3x2x4 mean?

A

There are 3 independent variables. IV1 has 3 levels, IV2 has 2 levels, and IV3 has 4 levels.

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3
Q

What does a mixed factorial design need?

A

A between-subject variable and a within-subject variable.

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4
Q

What does a person x situation factorial design include?

A

A manipulated IV (the situational factor) and a selected IV (the subject variable).
-A person x situation factorial design is least likely to also be a within-subject factorial design.

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5
Q

The overall effect of an IV on a DV

A

Main Effect

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6
Q

The effect of an IV on a DV differs, depending on the level of another IV

A

Interaction

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7
Q

Why use factorial designs?

A

More efficient, they capture real life’s complexity.
-Examine whether causal factors interact or have simple additive effects, how environmental variables affect different types of people, and examines moderator/mediator variables.

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8
Q

What makes an experiment a quasi experiment?

A

No control group and/or no independent variable.

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9
Q

Events that occur during the study that aren’t related to the study/part of the environment

A

History

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10
Q

Participants change naturally over time, independent of treatment/involvement in the study

A

Maturation

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11
Q

Measurements may affect participants’ responses when measured again

A

Testing

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12
Q

Changes occur in a measuring instrument during data collection

A

Instrumentation

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13
Q

When 2 variables aren’t perfectly correlated, more extreme scores on one variable will be associated with less extreme scores on the other variable

A

Statistical Regression to the Mean

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14
Q

What makes a control group design non-equivalent?

A

Participants aren’t randomly assigned, it’s based entirely on already existing groups.

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15
Q

What are the possible confounds for non-equivalent control group designs?

A

Selection x all other possible confounds (history, maturation, etc.)

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16
Q

A variable that provides a casual link between an IV and a DV

A

Mediator Variable

17
Q

A variable that alters the direction and/or strength of the relationship between the IV and DV

A

Moderator Variable

18
Q

When there are 3 IVs (ex: 3x2x4), how many interactions are possible?

A

4 interactions (1 for each IV, 1 for all 3 aka a three-way)

19
Q

What does a quasi experiment have a lack of control over?

A

IV, DV (selection, operational definition,) and/or extraneous environmental variables and/or participants’ characteristics (unable to randomly assign)

20
Q

Participants in the various conditions already differ on a characteristic that can plausibly account for the results

A

Selection