data collection Flashcards

1
Q

define census

A

measured every member of population

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2
Q

advantages and disadvantages of census

A

ad - accurate result
dis- expensive, testing may destroy

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3
Q

define sampling units

A

individulas of a population

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4
Q

define sampling frame

A

list of sampling units

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5
Q

types of random sampling

A

simple random sampling
systematic sampling
stratified sampling

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6
Q

define simple random sampling

A

to give everything same chance of being selected
use a random number/ lottery sampling

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7
Q

advantages and disadvantages of simple random sampling

A

ad - bias free
dis- need sampling frame

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8
Q

define systematic sampling

A

take every kth unit, k = pop size/samp size
pick a random number between 1 and k for starting point

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9
Q

advantages and disadvtages of systematic sampling

A

ad - quick to use
dis - need sampling frame

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10
Q

define stratified sampling

A

sample represents group (strata) of a population
(sample size / population size ) x size of strata for each strata , pick them randomly

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11
Q

advantages and disadvantages of stratified sampling

A

ad - reflects population
dis- population must be classified in strata

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12
Q

types of non-random sampling

A

quota sampling
opportunity sampling

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13
Q

define quota sampling

A

like stratified sampling but strata are filled by interview/researcher

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14
Q

advantages and disadvantages of quota sampling

A

ad - no sampling frame
dis- non-random so potential bias

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15
Q

define opportunity sampling

A

quota is filled by those available at time

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16
Q

advantages and disadvantages of opportunity sampling

A

ad - easy/ cheap
dis- unlikely to be represativite

17
Q

different types of data

A

qualitative -> non-numerical
quantitative -> numerical which is either discreet (fixed values) or continuous (can take any value in a particular range)