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
What are the 4 areas you have to attend too when processing data
1. Statistical methods 2. Conclusions 3. Evaluation of procedure 4. Mathematical notation
26
What are the 3 main statistical methods
Mean Mode Median
27
What is measures of dispersion
How spread out the data is from the average you calculated *How varied the data set is
28
29
What does continuous data mean in terms of a graph
Every piece of data will have a plot -you can find the mean
30
How can you find the measure if dispersion
Standard deviation
31
What is skewed distribution
When the bell curve of normal distribution is shifted
32
What is significance
Measure of how different the data is that you expected
33
Name 2 types of parametric tests
- T test - standard deviation
34
What is standard deviation
Compares the data spread to the mean
35
What is the T test
Compares 2 means from 2 different data sets to see if there is a significant difference
36
What type of data uses the T test
Continuous
37
What is the chi squared test
Tests the significance of the difference between observed and expected results between categories
38
Points for evaluation of the ethics of research
1. Social/scientific value 2. Care and protection of participants 3. Confidentiality 4. Informed consent 5. Working with vulnerable individuals
39
what is descriptive research
attempting to find patterns, ideas or hypotheses through the gathering of baseline/preliminary information
40
what is exploratory research
describes circumstances or concepts as it exists, used to obtain data on the characteristics of a particular issue
41
what is analytical research
attempts are made to explain why or how something is happening
42
what is predictive research
attempts to forecast the likelihood of a similar situation occurring through generalisation
43
what is a null hypothesis
the hypothesis of no significant difference
44
what is the rule for accepting or rejecting a null hypothesis
you reject the null when the critical value is equal too or above the value calculated
45
what is directional hypothesis
it predicts the direction of the results
46
what is non directional hypothesis
predicts there will be a difference but does not predict the direction