Research & Statistics Flashcards

1
Q

has the adv. of being quick and easy to do

doesn’t use a census

draw ppl in a haphazard & convenient way

A

non-probability sampling

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2
Q

involves a census

the adv of ___ is that if done correctly it should resemble the population

A

probability sampling methods

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3
Q

where every element (ppl in population) has an equal chance of being chosen

A

simple probability

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4
Q

instead of random sampling, you are choosing every nth element

n = the population size divided by the desired sample size

A

systematic

(probability sampling)

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5
Q

when you are interested in groups

1) divide the census in groups of interest
2) draw from each group using simple probably sampling

A

stratified (groups)

(probability sampling)

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6
Q

when elements are in ___(s)

1) randomly sample the ___
2) take rosters from each sample & then randomly sample elements from each cluster using simple probability

A

cluster

(probability sampling)

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7
Q

convenience, accidental

person on the street approach

A

haphazard

(non-probability sampling)

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8
Q

groups being made haphazardly

A

quota

(non-probability sampling)

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9
Q

sampling the same elements over & over again, based on past history or performance

A

purposive (judgmental)

(non-probability sampling)

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10
Q

the test or scale is measuring what it is supposed to be measuring

A

validity

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11
Q

each item on the scale subjectively appear to be related to the construct in question

A

face validity

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12
Q

the range of the construct & all its constructs & dimensions are adequately represented

it should cover the range of topics

A

content validity

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13
Q

taking a test score & comparing it against some criterion w/c is a more direct measure of that construct using correlation

A

criterion-related

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14
Q

the pattern of correlations w/ other measures make theoretical sense

A

construct validity

(theoretical validity)

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15
Q

expectations are shifted to the experimenters

“blind testing” experimenters & subjects don’t know what they are being tested for

A

experimenter bias

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16
Q

central tendency (mean, median, mode)

variability (range, standard deviation)

graphs

A

descriptive statistics

17
Q

to make inferences about populations based on samples

A

inferential statistics