Data Analysis Flashcards

1
Q

What does testing a difference mean?

A

Testing whether one set of score are higher/lower than those in another set

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2
Q

What does testing a correlation mean?

A

Whether there is a relationship between 2 sets of scores

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3
Q

What does an independent research design mean?

A

Comparison of 2 sets of scores that are unrelated

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4
Q

What does a related research design mean?

A

Comparison of 2 sets of scores from the same ppts (repeated measures design)

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5
Q

What does nominal data mean?

A

Ppts are put in categories and not given a score (no scales)

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6
Q

What does ordinal data mean?

A

Data will be put in a ranked order from scores

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7
Q

What does interval data mean?

A

the gaps in the data are identical so you can be twice as fast as someone FE

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8
Q

What does ratio data mean?

A

There is an absolute 0 there are no - numbers

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9
Q

What stats test would it be if it was testing:
Difference
Independent design
Ordinal Data

A

Mann-Whitney

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10
Q

What stats test would it be if it was testing:
Difference
Independent design
Nominal Data

A

Chi Squared

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11
Q

What stats test would it be if it was testing:
Difference
Related Design
Ordinal Data

A

Wilcoxon

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12
Q

What stats test would it be if it was testing:
Correlation
Ordinal Data

A

Spearman’s

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13
Q

What are statistical tests used for?

A

Difference or correlation between 2 sets of scores

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14
Q

Define significance?

A

If a finding is significant (p

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15
Q

What is significance measured in?

A

P values

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16
Q

What does a 1 tailed hypothesis mean?

A

It is a directional hypothesis
It predicts there will be a difference in a certain direction
There is previous research to support this
Significance is at 5% at the end of direction

17
Q

What does a 2 tailed hypothesis mean?

A

There will be a difference but they don’t know in what direction
There is either no previous research or it is contradictory
Significance is at 2.5% at each end

18
Q

What is a type 1 error?

A

You think you have a significant result when you don’t

19
Q

What is a type 2 error?

A

Claiming you don’t have a significant result when you do

20
Q

Name the methods of qualitative data collection?

A

Interview
Observations
Case Studies

21
Q

How can you analyse the qualitative data?

A

Convert it into quantitative - was one group higher than the other?
If the account is rich enough just extract the data
Content analysis
Thematic analysis

22
Q

What are the advantages of using qualitative data?

A

It has higher validity - truer to life

23
Q

What are the disadvantages of using qualitative data?

A

There is not systematic way of collecting data meaning that biases/cherry picking/subjective interpretation come into play