2-4 Flashcards

1
Q

causal vs correlational relationships

A

Causal association
• One variable directly or indirectly causes changes in another
• Unidirectional
• Bidirectional

Correlational relationship
• Changes in one variable accompany (covary with) changes
in another
• CORRELATION IS NOT CAUSATION

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2
Q

how do we determine whether one variable caused the other?

A

f

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3
Q

What is the main purpose of correlational research/designs?

A
  1. When gathering data in the early stages of research
  2. When manipulating an IV is impossible or unethical
  3. When you are examining two or more naturally occurring variables
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4
Q

What are the limitations of correlational research?

A

f

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5
Q

directional problem

A

Not always possible to specify the direction in which a causal arrow points`

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6
Q

Not always possible to specify the direction in which a causal arrow points

A

directional problem

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7
Q

Why can’t we infer causation from correlational relationships among variables?

A

third-variable problem and directional problem

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8
Q

experimental research

A

an iv is manipulated and a dv is measured

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9
Q

strengths of experimental research

A

Identification of causal relationships among

variables

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10
Q

limitations of experimental research

A

sometimes can’t manipulate variables

requires tight control

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11
Q

difference between IV and DV

A

IV: the variables that are manipulated

DV: the variables that are measured

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12
Q

What is internal validity?

A

the degree to which your design tests what it was intended to test

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13
Q

How is internal validity threatened?

A

CONFOUNDING and EXTRANEOUS VARIABLES

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14
Q

confounding varaibles

A

a variable that influences both the dependent variable and independent variable, causing a spurious association.

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15
Q

a variable that influences both the dependent variable and independent variable, causing a spurious association.

A

confounding variables

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16
Q

extraneous variables

A

any variables that you are not intentionally studying in your experiment or test.

17
Q

any variables that you are not intentionally studying in your experiment or test.

A

extraneous variales

18
Q

What are the threats to internal validity?

A
history
maturation
instrumentatoin
statistical regression
biased subject selection
experimental mortality
19
Q

history

A

events may occur between multiple observatoins

20
Q

events may occur between multiple observatoins

A

history

21
Q

maturatoin

A

participants may become older or fatigued

22
Q

participants may become older or fatigued

A

maturation

23
Q

testing

A

taking a pretest can affect results of a later test

24
Q

taking a pretest can affect results of a later test

A

testing

25
Q

instrumentatoin

A

changes in instrument calibration or observers may chance results

26
Q

changes in instrument calibration or observers may chance results

A

instrumentation

27
Q

statistical regression

A

subjects may be selected based on extreme scores

28
Q

subjects may be selected based on extreme scores

A

statistical regression

29
Q

biased subject selection

A

subjects may be chosen in a biased fashion

30
Q

subjects may be chosen in a biased fashion

A

biased subject selectoin

31
Q

experimental mortality

A

differential loss of subjects from groups in a study may occur

32
Q

differential loss of subjects from groups in a study may occur

A

experimental mortality

33
Q

how do we correct the problems introduced by extraneous factors?

A

control

random assignment

34
Q

Pros and cons of laboratory settings

A

f

35
Q

pros and cons of field settings

A

f