Chapter 3 - Interrogation Tools for Consumers of Research Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

define a measured variable

A

a variable in a study whose levels (values( are observed and recorded

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

define a manipulated variable

A

a variable researchers control, usually by assigning study participants to the different levels of that variable. some variables cannot be manipulated due to ethical reasons, examples being childhood trauma or race.

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

define constructs/conceptual variables

A

a variable of interest, at an abstract level, defined as part of a formal statement of a psychological theory. cannot be directly observed so we need to operationalize them.

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

define operational variables/operationalizations

A

the specific way in which a concept of interest is measured or manipulated as a variable in a study. a definition of a concept in terms of precisely described operations, measures, or procedures.

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

define the frequency claim

A

a claim that describes a particular rate or degree of a single variable. (ex. is how frequent or common something is)

variable is always measured and not manipulated and only focuses on a single variable.

  • Forty-one Percent of Children Worldwide Experience Moderate Food Insecurity
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

define association claim

A

a claim about two variables, in which the value of one variable is said to vary systemically with the value of another variable. Mostly found in correlational studies

variables are always measured and involve at least two variables.

  • Study Links Coffee Consumption to Lower Depression in Women
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

define the difference between a positive and negative association with the association claim

A

positive: high levels of one go with high levels of another, and same for low (linking exercise to higher pay)

negative: high levels of one go with low levels of another (coffee drinking leading to less depression)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

define causal claims

A

a claim arguing that a specific change in one variables is responsible for influencing the value of another variable. one variable is manipulated, and one is measured and the rest is held constant (an experiment)

  • To Appear More Intimidating, Just Tilt Your Head Down, Study Suggests
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

define a variable

A

it is anything that varies. it has multiple levels (values).

ex. education can be broken down into different levels such as university, high school, and college.

if examining only a single value of a variable, then it is considered a constant

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

how do scatterplots work to describe a correlation?

A

they show the association between two quantitative variables.

they display form, direction and strength (close bounded) of the association.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

how to know the difference between a causal and correlational relationship?

A

causal: X changes first and then causes Y to change too
- leads, results, affects, boost, could increase

correlational: X and Y change together
- related, associated, linked, worse, likely

correlational and causal can not be linked together!

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

define validity

A

the appropriateness of a conclusion or decision

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

define construct validity

A

an indication of how well a variable was measured or manipulated in a study. researchers must make sure that variables are measured reliably ( to get similar scores of repeated testing) and that the different levels accurately represent difference.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

define generalizability

A

the extent to which subjects in a study represent the population; how well the setting repreesnet other settings or contexts

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

define external validity

A

an indication of how well the results generalize to, individuals or contexts beside those in the study itself

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

define statistical validity

A

the extent to which statistical conclusions derived from a study are accurate and reasonable. How well can the numbers support the claim?

17
Q

how do we go about evaluating statistical validity?

A
  • start at the point estimate (single estimate of some population based on the data)
  • find the precision of that estimate with confidence interval or the marine of error of the estimate
  • improve the validity with multiple estimates
18
Q

define confidecnce interval

A

range to capture the population value for some point estimate

19
Q

define margin of error of the estimate

A

inferential statistic providing a range of values that has a high probability of containing true population value

20
Q

what are the type of validity used for frequency claims?

A

construct, external and statistical validity

21
Q

how do we interrogate an assocation claim with validity?

A

see how well the correlational study behind the claim supports construct, external and statistical validity

22
Q

using construct validity for association claims

A

want to look at how both variables are measured. the variables need to be studied well in order for the results to be reported and have more confidence in them.

23
Q

define internal validity

A

in a relationship between A and B, the extent to which A, rather than some other variables C, is responsible for changes in B. ruling out that there is no thrid variables causing changes to B

24
Q

what is the 3 criteria for causation?

A

covariance, temporal procedence and internal validity

25
Q

define covariance

A

the degree to which 2 variables go together. the proposed causal variable must vary systemically with changes in the proposed outcome variable.

26
Q

define temporal precedence

A

stating that the proposed causal variable comes first in time, before the proposed outcome variable. ie. cause and effect

27
Q

define independent and dependent varible

A

independent is the one that is getting manipulated (must have more than 1 level) , and dependent is the one that is being measured to see if there is a cause and effect.

28
Q

define random assignment

A

use of random method to assign participants into different experimental groups

29
Q

how is validity shown in frequency claims?

A

construct: how did the research define the construct, measure the variable
external: how can we generalize to large population, how was sample selected
statistical: how accurate, margin of error (bigger the less confidence)

30
Q

how is validity shown in association claims?

A

construct and external: same as frequency
statistical: how strong is the association, more scattered points means weaker association

31
Q

how is validity shown in causal claims?

A

construct: is manipulation appropraite, how well is the outcome of the measured
external: same as other claims
statistical: does it minimize errors, looking at the average more than comparing
internal: can you rule out other variables that might have caused a change in the measured other than the manipulated

32
Q

what validity do you prioritize for a frequency claim?

A

external, you want it to be able to generalize to a bigger population

33
Q

what validity do you prioritize for a causal claim?

A

internal validity, you want to make sure there is no confounding variables involved with the experiment t change the results