01 Collecting Data Flashcards

(30 cards)

1
Q

Define Primary Data

A

Primary data is collected by, OR FOR, the person who is going to use it.

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2
Q

Define Secondary Data

A

Secondary data has been collected by someone else

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3
Q

Define Qualitative data

A

Non-numerical observations

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4
Q

Define Quantitative data

A

Numerical observations or measurements

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5
Q

Define Continuous data

A

Data that can take any value or had the possibility of being measured to an infinite degree of accuracy

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6
Q

Define Discrete data

A

Can only take particular values

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7
Q

Define Ordinal data

A

Data that is often sorted into natural order and often involves rankings. The spaces between the positions is not necessarily equal.

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8
Q

Define Categorical data

A

Numeral or non-numerical data that is often sorted into non- overlapping categories so that each piece of data is only recorded once.

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9
Q

Define Bivariate data

A

Involves 2 pieces of data involving the same subject.

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10
Q

Define Multivariate data

A

Three or more data values that relate to a subject

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11
Q

Define Judgement sampling

A

Using one’s judgemental skills to select a sample that’s representative of the population.

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12
Q

Define Opportunity sampling

A

Only using the people/objects available at that time.

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13
Q

Define Cluster sampling

A

When the data automatically splits into groups, like Geographical areas. The list of clusters is the sampling frame, and some clusters are randomly selected form it to make the sample.

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14
Q

Define Systematic sampling

A

Choosing a random starting point, then choosing item at regular intervals after it. Egg Every 5th person from a list.

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15
Q

Define Quota sampling

A

Grouping the population by characteristics such as gender or age, and interview a quota (number) from each group. E.g. 10 females who are over fifty.

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16
Q

Define Stratified sampling

A

Dividing the population into subgroups called strata based on characteristics that they share. Once divided, the group is then randomly sampled using another probability sampling method.

17
Q

Define Random sampling

A

In which every member of the population has an equal chance of being selected.

18
Q

Define frequencies

A

The number of occurrences of a particular piece/group of data

19
Q

Define population

A

Everything/everybody that could be involved in an investigation

20
Q

Define census

A

A survey/test of the entire population

21
Q

Define sample

A

A survey/test of a part of the population

22
Q

How do you know if you are collecting reliable data?

A

Representing the population would result in similar results

23
Q

Define sampling frame

A

List of all the sampling units

23
Q

Deifne sampling units

A

People//items to be sampled

24
What does the Petersen capture/recapture method assume? [4 points]
- Population has not changed - Probability of being caught is equal - Marks tags are detectable and not lost - Sample size is big enough to be representative of the whole population
25
What is the formula for the Petersen capture/recapture method?
N (Total population) = [M (no. tagged in populatio) * n (total sample size)]/m (no. tagged in sample)
26
List three advantages of primary data
(any one of the following:) - Accurate - Reliable - Collection method known - Can find answers to specific questions
27
List three advantages of secondary data
- easy - cheap - fast
28
List three disadvantages of primary data
- Time-consuming - Costly Labour intensive to collect/analyse
29