mt2 Flashcards

(52 cards)

1
Q

what is a frequency claim

A

describes rate or degree of a SINGLE VARIABLE

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2
Q

what is a mediator

A

intermediate variable between cause and effect.

remove mediator = no effect

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3
Q

what is a moderator

A

variable that changes the sign or strength of IV on DV

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4
Q

what is a Confounder

A

Variable that is related to both IV and DV. Not part of causal mediation process.

usually causally related to DV but cannot be the effect of the IV but can cause IV

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5
Q

What is internal validity

A

ability to claim that DV change is a result of IV change only

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6
Q

What are the categories of threats to internal validity

A

threats from experimental procedures

threats from treatment or manipulation (researchers)

threats related to participants

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7
Q

What measures can be taken to ensure internal validity

A

RCT with double blind procedures
validated measures
identification of confounders

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8
Q

what is external validity

A

how well the results apply to those outside the original study.

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9
Q

what are the types of external threats to validity

A

selection of too specific of a group. difficult to generalize to others

setting is too difficult to replicate for the same results

The timing of the treatment creates a result that may not be possible in the future

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10
Q

Which types of validity are most important in a qualitative study

A

usually internal then external.

however, in applied research and clinical trials, external may be more valuable.

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11
Q

what are the 4 criteria to claim causation

A

1) correlation
2) ensure isolation using controls
3) effects following cause
4) manipulation of cause results in manipulation of effect

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12
Q

what is an association claim

A

correlation

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13
Q

what is a frequency claim

A

a count

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14
Q

what is the difference and similarity between pre experimental and quasi experimental design

A

both do not use random assignment but quasi uses a control group while pre does not

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15
Q

why might a pretest post-test randomized group design not be used

A

if pretest impacts outcome

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16
Q

what is the Solomon four group design

A

a study design that can examine the effect of pretest on the final outcome

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17
Q

why might a quasi experimental design be used over an experimental design

A

higher external validity, ethical and practical limitations

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18
Q

what is a pre experimental research design

A

examining only 1 group and providing an intervention. no control group

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19
Q

what is a sample

A

a representation if the population chosen to be studied

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20
Q

what is the law of large numbers

A

large numbers of trials will produce outcomes aligning with theoretical probability.

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21
Q

what is probability sampling

A

random sampling that is statistically likely to be representative of the population

22
Q

what is non probability sampling

A

non random sampling that does not ensure that all possible subjects have an equal change of being chosen

23
Q

What are the types of random probability sampling

A

simple random- using random numbers to select

systematic- selects using a regular interval (ex. every 5th person). This is more useful for large lists.

24
Q

what is stratified sampling

A

overall group is divided into subgroups which are then selected from. This is to ensure a full distribution of certain characteristics

25
what is cluster sampling
dividing sampling frame into groups or clusters. some clusters are then randomly selected subjects in the selected clusters are then selected Very useful when population is difficult to access or widespread
26
what is convenience sampling
whoever is available
27
what is quota sampling
samples selected to fit quotas of certain groups
28
what is purposive sampling
only sampling from a population who have experience with phenomena of interest
29
what is snowball sampling
useful for when population difficult to find considered a type of purposive sampling
30
what is non response bias
when who is most likely to respond introduces bias
31
what is social exchange theory
the idea that rewarding and compensation for costs as well as emphasizing trust may increase survey participation
32
what is discrete vs continuous data
discrete only has certain values that can be selected continuous can be any value in a range
33
what are nominal scales
data only classified by name ex. yes or no
34
what are ordinal scales
differing in amount or degree and fit in an order low, medium, high
35
what are interval scales
numbers with no true zero point where there is nothing of an element that is being measured ex. temperature
36
what are ratio scales
numbers with a true zero ex. physical distance
37
what is content validity
does the test examine all of the content of the thing being measured? does it miss anything? relies on the judgement of experts
38
what is face validity
does the test appear to measure what it is supposed to
39
which is more reliable, logical or statistical validity?
statistical
40
what is criterion validity
assessing validity by determined relationship between scores and an independent non test criterion
41
what are the two types of criterion validity
concurrent -comparing scores to a different validated test predictive -how well the scores predict actual performance
42
what is construct validity
evaluating if an instrument accurately represents a theoretical concept.
43
what is convergent and divergent validity
a type of construct validity that verifies if correlation to related variables match with theory eg. validity of self esteem test by comparing with social skills scores.
44
internal reliability vs external reliability
internal measures how consistent different items in a single test measure the same thing. external measures how consistent the same test produces the same result.
45
descriptive vs inferential statistics
descriptive describes sample inferential describes population
46
how can measures of dispersion be reduced
increasing sample numbers
47
what is kurtosis
different peak of a distribution
48
what is statistical interference
does the results from a sample reflect the population? what are the chances that the observations were due to chance?
49
what is the critical value in NHST
value needed to reach statistical significance
50
what is p level influenced by
size of relationship between variables sample size variance
51
what is statistical power
probability of not making a type 2 error (not rejecting null hypothesis erroneously) Power = 1-beta
52
what four factors influence power
Alpha and direction of hypothesis size of relationship between variables sample size variance