Sampling methods Flashcards

1
Q

define population

A

the whole set of items that are of interest

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2
Q

define census

A

observes/measures every member of a population

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3
Q

define sample

A

a selection of observations taken from a subset of the population => used to find out info abt the population as a whole

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4
Q

what are the advantages and disadvantages of a census?

A

advantage
- accurate results

disadvantages

  • time consuming + expensive
  • hard to process large quantity of data
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5
Q

what are the advantages and disadvantages of a sample?

A

advantages

  • less time consuming + expensive than census
  • less data to process than census

disadvantages

  • data may not be accurate
  • sample may not be large enough to give info abt small sub-groups of the population
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6
Q

define sampling units

A

individual units of a population

eg - each student

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7
Q

define sampling frame

A

sampling units of a population = individually named/numbered to form a list

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8
Q

what are the 5 sampling methods?

A

RANDOM SAMPLING

  1. simple random
  2. systematic
  3. stratified

NON RANDOM SAMPLING

  1. quota
  2. opportunity
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9
Q

define random sampling

A

every member of population has an equal chance of being selected

SAMPLING FRAME NEEDED

  • representative of whole population
  • unbiased
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10
Q
  1. define simple random sampling
  2. method?
  3. advantages and disadvantages?
A
  1. every member of population has an equal chance of being selected
  2. number students 1-300
    use a calculator/computer to randomly generate 60 (sample size wanted) unique numbers between 1 and 300
    people corresponding with these numbers are chosen
  3. advantages
    - bias free
    - easy + cheap to implement for small populations
    - each sampling unit has a known and equal chance of selection

disadvantages

  • sampling frame needed
  • not suitable for large populations
  • may be missing values in the sample => data not available for particular day
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11
Q
  1. define systematic sampling
  2. method?
  3. advantages and disadvantages?
A
  1. required items = chosen @ regular intervals from an ordered list
  2. number students 1-300
    300 / 60 = 5 (total population / sample size wanted)
    use a calculator/computer to randomly generate a start point between 1 and 5 and take every 5th student from that point
  3. advantages
    - simple + quick to use
    - suitable for large samples

disadvantages

  • sampling frame needed
  • can introduce bias if sampling frame = not random
  • may be missing values in the sample => data not available for particular day
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12
Q
  1. define stratified sampling
  2. method?
  3. advantages and disadvantages?
A
  1. population = divided into mutually exclusive strata (male + female) + simple random sample = carried out in each strata
2. 
number boys 1-100
number girls 1-200
total population = 300
SAMPLE SIZE / TOTAL POPULATION x NO. IN STRATA

60/300 x 100 = 20 boys
60/300 x 200 = 40 girls

use simple random sampling to choose 20 unique no.s between 1 and 100 for the boys and 40 unique no.s between 1 and 200 for the girls

  1. advantages
    - sample accurately reflects population structure
    - guarantees proportional representation of groups within population

disadvantages

  • sampling frame needed
  • population must be clearly classified into distinct strata
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13
Q

define non random sampling

A

may be used if population = large
x sampling frame
may be biased

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14
Q
  1. define quota sampling
  2. method?
  3. advantages and disadvantages?
A
  1. interviewer/researcher selects a sample that reflects characteristics of whole population

2.
total population = 300
SAMPLE SIZE / TOTAL POPULATION x NO. IN STRATA

60/300 x 100 = 20 boys
60/300 x 200 = 40 girls

the interviewer/researcher chooses students to interview until these quotas (of 20 boys + 40 girls) = filled.

3.
advantages
- field work = done quickly as representative sample can be achieved w small sample size
- x sampling frame needed
- quick, easy + inexpensive
- easy comparison between diff groups in population

disadvantages

  • non random => can introduce bias
  • population must be divided into groups => costly/inaccurate
  • non-responses = not recorded
  • ↑ scope of study ↑ no. of groups => time + expense
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15
Q
  1. define opportunity sampling
  2. method?
  3. advantages and disadvantages?
A
  1. sample taken from ppl who = available @ time of study + who meet criteria
  2. interviewer/researcher chooses 60 students to interview
3.
advantages
 - easy to carry out
 - inexpensive
 - x sampling frame 

disadvantages

  • unlikely to provide representative sample => likely to be biased
  • highly dependant on individual researcher
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16
Q

define quantitative data

A

data associated w numerical observations

17
Q

define qualitative data

A

data associated w non numerical observations (colour)

18
Q

define continuous data

A

can take any value in a given range

19
Q

define discrete data

A

can take only specific values in a given range