Data Collection Flashcards

1
Q

Define census

A

A way of sampling such that information from the whole target population is obtained

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2
Q

Define sample

A

A subset of the target population

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3
Q

Define target population

A

Collection of objects/individuals we want to learn something about

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4
Q

What are the three general ways to collect data?

A
  1. Polls and surveys
  2. Experiments
  3. Observational studies
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5
Q

Define a poll/sample

A

Process of collecting data from a sample or subset of the population

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6
Q

What are two potential problems of a census?

A
  1. Difficult to make sure everyone participates

2. Some people may struggle to complete the form/questionnaire etc

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7
Q

Why sample over doing a census?

A
  • More practical
  • Faster
  • Cheaper than census
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8
Q

Define a variable

A

Some characteristic of each individual in the population

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9
Q

Define a parameter

A

Numerical summary of a variable for a population

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10
Q

Define a statistic

A

Numerical summary of a variable for the sample

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11
Q

What is precision?

A

Implies that the value of the statistic is similar in all samples

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12
Q

What is bias?

A

Implies that the sample statistic tends to differ from the population parameter in a consistent way

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13
Q

What is the goal when taking the sample?

A

To have a sample that reflects the sort of variation that the whole population exhibits

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14
Q

What are the advantages of simple random sampling?

A
  • Easier to draw, only one random number required

- Distributes the sample more evenly through the population

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15
Q

What is sampling error?

A

Difference between sample statistic and true but unknown parameter

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16
Q

Describe the steps for systematic sampling with random start

A
  1. Decide how many individuals you want in your sample, n
  2. Specify/estimate the size of your population, N
  3. Calculate fixed periodic interval, k = N/n
  4. Randomly pick a starting number between 1 and the k, q
  5. Sample the qth individual, then the (q+k)th and then the (q+2k)th and so on
17
Q

Describe stratified random sampling

A

Population is divided into different categories

Different random samples taken from each strata

18
Q

What are the non sampling errors?

A
  • Selection bias
  • Self-selection bias
  • Interviewer effect
  • Question effect
  • Non-response bias
  • Behavioural considerations
  • Survey format
  • Transferring findings
19
Q

What are the reasons for replicating an experiment?

A
  1. Assess the amount of natural variation in the results

2. Increase precision

20
Q

What is an experiment?

A

In an experiment, we try to discover whether a treatment or condition has an effect on individuals

21
Q

What are experimental units known as if they are human?

A

Subjects

22
Q

What are the two types of observational studies?

A

Prospective

Retrospective

23
Q

What is a prospective study?

A

Looking forward

Choosing samples now, measure variables and follow up in future

24
Q

What is a retrospective study?

A

Looking backwards

Examine previous exposure

25
Q

What is the formula for the number of pairwise comparisons, if n is the number of different situations?

A

n(n-1)/2