unit 3 - Data, Sampling, research & hypothesis Flashcards

1
Q

What is a target population

A

The group of people from whom the sample is drawn from.

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2
Q

Why do we obtain a sample

A

Because the target population is too large

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3
Q

Why should a sample be carefully selected

A

Because it needs to be representative

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4
Q

What is qualitative data

A

Words, descriptions, colours, observations.

No numbers

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5
Q

What is quantitative

A

Uses quantities, values or counts

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6
Q

What is an example of qualitative research

A

Interviews
Focus groups
Observations

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7
Q

What are examples of quantitative

A

Closed questionnaires

Laboratory experiments

Epidemiological (medicine)

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8
Q

Positives of using interviews of focus groups

A

-collects detailed information from a small amount of people
-produces rich and insightful information
-great for asking why or how questions

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9
Q

Negatives of using interviews and focus groups

A

-requires a lot of time for data collection
-results in a lot of data which is time consuming to analyse
-small volume of people

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10
Q

Advantages of observations

A

Good for finding out peoples behaviour

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11
Q

Disadvantages of observations

A

-need to be approached with awateness because people being observed may change how they act
-does not investigate views

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12
Q

Advantages of surveys

A

-great for retrieving factual data from “what” questions
-can be completed anonymously, so are good for
investigating sensitive subjects that people may not want
to talk about
-offer a relatively quick way of gathering data from a lot of
people at once
-provide data that is fairly easy to categorise and analyse
-use mainly closed questions, with responses as scale

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13
Q

Disadvantages of surveys

A

-aren’t good for getting answers to open questions, as
people may not want to write much
-are of limited help in understanding more complex
issues
-aren’t suitable for getting information from very
young children

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14
Q

What are the types of sampling

A

Random
•Systematic
•Stratified
•Snowball
•Opportunity
•Self-selected

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15
Q

What do you need to take into account when analysing

A

The ability to recruit suitable participants in your study
*representative

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16
Q

What is sampling

A

The ability to recruit suitable participants in your study
*representative

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17
Q

If your sample is representative, what can you do with your results

A

Generalise them to the wider population

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18
Q

What is random sampling

A

Numbering each individual in a population and then using a random generator to select the sample

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19
Q

Systematic

A

Numbering each individual
1,2,3 and then selecting one category

20
Q

What is stratified sampling

A

Classify the whole population into categories, then choose a sample that is in the same
proportion as the population

21
Q

What is snowball sampling

A

One person gets 2 people, they get 2 more people, they each get 2 more people and so on

22
Q

What is opportunity sampling

A

Uses people from target population available at the time and
willing to take part. It is based on convenience.

23
Q

What is self selected sampling

A

People volunteering to become part for to advertising

24
Q

What is the main thing you should take into account when choosing sampling method

A

It must eliminate bias without discrimination

25
Q

What are the 4 areas you have to attend too when processing data

A
  1. Statistical methods
  2. Conclusions
  3. Evaluation of procedure
  4. Mathematical notation
26
Q

What are the 3 main statistical methods

A

Mean
Mode
Median

27
Q

What is measures of dispersion

A

How spread out the data is from the average you calculated

*How varied the data set is

29
Q

What does continuous data mean in terms of a graph

A

Every piece of data will have a plot
-you can find the mean

30
Q

How can you find the measure if dispersion

A

Standard deviation

31
Q

What is skewed distribution

A

When the bell curve of normal distribution is shifted

32
Q

What is significance

A

Measure of how different the data is that you expected

33
Q

Name 2 types of parametric tests

A
  • T test
  • standard deviation
34
Q

What is standard deviation

A

Compares the data spread to the mean

35
Q

What is the T test

A

Compares 2 means from 2 different data sets to see if there is a significant difference

36
Q

What type of data uses the T test

A

Continuous

37
Q

What is the chi squared test

A

Tests the significance of the difference between observed and expected results between categories

38
Q

Points for evaluation of the ethics of research

A
  1. Social/scientific value
  2. Care and protection of participants
  3. Confidentiality
  4. Informed consent
  5. Working with vulnerable individuals
39
Q

what is descriptive research

A

attempting to find patterns, ideas or hypotheses through the gathering of baseline/preliminary information

40
Q

what is exploratory research

A

describes circumstances or concepts as it exists, used to obtain data on the characteristics of a particular issue

41
Q

what is analytical research

A

attempts are made to explain why or how something is happening

42
Q

what is predictive research

A

attempts to forecast the likelihood of a similar situation occurring through generalisation

43
Q

what is a null hypothesis

A

the hypothesis of no significant difference

44
Q

what is the rule for accepting or rejecting a null hypothesis

A

you reject the null when the critical value is equal too or above the value calculated

45
Q

what is directional hypothesis

A

it predicts the direction of the results

46
Q

what is non directional hypothesis

A

predicts there will be a difference but does not predict the direction