Research Methods: Stats Testing COPY Flashcards

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1
Q

This level of measurement is presented in the form of categories

A

Nominal

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2
Q

This level of measurement can be ranked but does not have fixed intervals.

A

Ordinal

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3
Q

A researcher gave a questionnaire to her participants to rate their happiness in their marriage on a scale of 1(unhappy) to 4 (happy). What level of measurement is she using and why?

A

Ordinal
It is based on opinions of whether they thought they have a happy marriage

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4
Q

A researcher asked people whether they were currently on a diet or not on a diet. What level of measurement is this?

A

Nominal

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5
Q

Why is time considered interval level data?

A

it is an objective/factual measure which has equal intervals

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6
Q

A research gave participants a standardised IQ test. What level of measurement is this?

A

Interval (as it is a standardised measure)

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7
Q

A researcher gave participants 20 words to learn. Group one listened to the words whereas the other group read the word. The total number correctly recalled was measured. What level of measurement is this?

A

Ordinal as there are not equal intervals between scores

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8
Q

What examples of objective measures would be seen as interval level data?

A

Time, height, weight & standardised measures

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9
Q

Which statistical test should be used?
The Bavarian Institute of Health Exploitation was concerned about the effect of lager drinking on the local population. They studied if there was a difference between drinkers and their IQ. The participants were grouped by IQ (high medium and low) and drinking (drinkers and non-drinker).

A

Chi-square
Difference - in IQ of drinkers and non-drinkers
Independent - either drinker or non drinker
Nominal - categories of high,medium or low IQ and drinker or non-drinker

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10
Q

Which statistical test should be used?
Some people argue that exposure to cold weather causes the common cold. Researchers tested this supposed link by selecting a sample of school children and developed a scale for how often they played outside (1 represents never and 10 is always joins in). They also developed a scale for the number of colds with 1 representing very few and 5 is very frequently.

A

Spearman’s Rho
Correlation between playing outside and colds
Ordinal level data - based on opinions

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11
Q

Which stats test would be appropriate?
Test of difference, matched pairs & Nominal data

A

Sign Test

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12
Q

Which stats test would be appropriate?
Test of difference, independent measures & ordinal level data

A

Mann Whitney

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13
Q

Which stats test would be appropriate?
Test of correlation, and interval level data

A

Pearson’s r

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14
Q

Which stats test would be appropriate?
Test of difference, independent measures and interval level data

A

Unrelated T-test

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15
Q

Which stats test would be appropriate?
Test of correlation and ordinal level data

A

Spearman’s Rho

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16
Q

Which stats test would be appropriate?
Test of correlation and nominal data

A

Chi Square

17
Q

Which stats test would be appropriate?
Repeated measures, test of difference and interval data

A

Related-T-test

18
Q

Which stats test would be appropriate?
Test of difference, Matched pairs and Nominal data

A

Sign Test

19
Q

When should you use a Sign test?

A

Test of difference
Repeated or matched pairs
Nominal data

20
Q

When should you use a Wilcoxon test?

A

Test of difference
Repeated or matched pairs
Ordinal data

21
Q

When should you use a Related t-test?

A

Test of difference
Repeated or matched pairs
Interval data

22
Q

When should you use a chi square?

A

Test of difference, independent measures and nominal data

or

Test of correlation, nominal data

23
Q

When should you use a Mann Whitney U test?

A

Test of difference
Independent measures,
Ordinal data

24
Q

When should you use an Unrelated T-test?

A

Test of difference
Independent measures
Interval data

25
Q

When should you use a Spearman’s Rho?

A

Test of correlation
Ordinal level data

26
Q

When should you use a Pearson’s r?

A

Test of correlation
Ordinal level data