Chapter 3 Flashcards

1
Q

variable

A
  • anything that can vary
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

measured variable

A
  • observed and recorded
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

manipulated variable

A
  • controlled
  • by researcher
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

constant

A
  • something that doesn’t change
  • could potentially vary but only has one level in the study
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Variables must have 2 levels (values). What does this mean?

A

ex. “most students don’t know when news is fake”

levels: knowing when news is fake and not knowing when news is fake

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

why can some variables only be measured and not manipulated?

A
  • some variables are simply out of the researchers control
  • can’t change age, height, etc.
  • sometimes it would be unethical to manipulate certain variables (ex. making a group smoke) would be harmful to participants
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

how can some variables be both measured and/or manipulated?

A
  • ex. mood
  • probably wouldn’t do both in one study
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

what does it mean to operationalize a concept?

A
  • turn it into a measured or manipulated variable
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

construct, conceptual variable

A
  • name of the concept being studied
  • ex. “satisfaction with life”
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Conceptual definition

A
  • a careful, theoretical definition of the construct
    ex:
    construct “satisfaction with life”
    conceptual definition “a person’s cognitive evaluation of his or her life”
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

operational definition, operationalization

A
  • how the construct is measured or manipulated in an actual study
  • ex. questionnaires, observations, etc.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

claim

A
  • argument someone is trying to make
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Frequency claims

A
  • involve 1 variable
  • describe a particular level or degree of a single variable
  • trying to describe the 1 measured variable
  • ex. 41% of…
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Association claims

A
  • one level of a variable is likely to be associated with a particular level of another variable
  • supported by studies that have at least 2 measured variables (correlational studies)
  • variables that are associated are said to correlate
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

association claims

positive association

A
  • usually represented on a scatterplot
  • as 1 variable increases (or decreases), the other does too
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

association claims

negative association

A
  • can’t come up with a theme for how the variables are correlated
  • when 1 v goes up, the other goes down (and v/v)
  • slope downwards
16
Q

causal claim

A
  • arguing that one variable is responsible for changing the other
  • at least one manipulated, one measured
17
Q

What 3 criteria must causal claims satisfy?

A

1) must establish that the 2 variables are correlated
2) must show that the causal variable came first and the outcome variable came later
3) it must establish that no other explanations exist for the relationship

18
Q

validity

A
  • the appropriateness of a conclusion or decision
  • reasonable, accurate, justifiable
19
Q

construct validity

A
  • how well a conceptual variable is operationalized
  • must ensure that each variable has been measured reliably
20
Q

generalizability

A
  • how well did researchers choose their participants and how well do they represent the intended population
21
Q

external validity

A
  • how well the results of a study generalize or represent people or contexts besides those in the original study
22
Q

statistical validity

A
  • how well the numbers support the claim
  • extent to which a study’s statistical conclusions are precise, reasonable and replicable
23
Q

evaluating statistical validity

point estimate

A
  • a single estimate of some population value (percentage, correlation, or a difference) based on data from a sample
24
Q

confidence interval

A
  • a given range indicated by a lower and upper value that is designated to capture the population value for some point of estimate
  • ex. a contractor gives you a price range for your repairs. It could cost less or more but it will be in that range
25
Q

internal validity

A
  • ensures there are no alternative explanations for cause + effect
26
Q

covariance

A
  • the extent to which two variables are observed to go together
  • established by the results of a study
27
Q

interrogating causal claims

temporal precedence

A
  • method was designed so that the causal variable clearly comes first in time, before the effect variable
  • ex. “pretending to be batman helps kids stay on task” - the study must show that pretending to be batman came before staying on task
28
Q

interrogating causal claims

internal validity (third-variable criterion)

A
  • a study’s ability to eliminate alternative explanations for the association
29
Q

experiment

A
  • at least one variable is manipulated and the other is measured
30
Q

independent variable

A
  • manipulated variable
31
Q

dependent variable

A
  • measured variable
32
Q

what are the 3 criteria for a causal claim?

A

1) covariance
2) temporal precedence
3) internal validity

33
Q
A