Choosing a statistical test Flashcards

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1
Q

What are the 3 key questions when choosing a statistical test?

A

Testing for difference or correlation, related or unrelated design and nominal, ordinal or interval level data

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2
Q

What do the hypothesis for testing for difference predict?

A

The group/condition scores will differ

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3
Q

How are the results of a test for difference displayed?

A

A bar chart

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4
Q

What does the hypothesis for a test of a correlation predict?

A

There will be a positive or negative correlation

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5
Q

How are the results of a test for correlation displayed?

A

A scattergram

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6
Q

What are the types of tests for difference?

A

A related or unrelated design

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7
Q

Where does related data come from?

A

The same participants (repeated measures) and matched pairs

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8
Q

Where does unrelated data come from?

A

Independent groups - including a comparison of 2 different things

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9
Q

What are the types of data?

A

Nominal, ordinal and interval

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10
Q

What is nominal data?

A

When particpants are put in a category - yes or no / attachment type

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11
Q

What is ordinal and interval data?

A

A participant has a numerical score for each particpant

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12
Q

What is interval data?

A

An agreed way or measuring the variable, no judgment, intervals between points on scale are fixed and can make mathematical comparison

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13
Q

What are examples of interval data

A

Time taken and height

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14
Q

What is ordinal data?

A

Different possible ways of measuring variable involving a degree of judgment where intervals between points on the scale are not ‘fixed’ so can’t make mathematical comparison

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15
Q

What are examples of ordinal data?

A

Strength of attachment and how aggressive someone is

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16
Q

What is the main difference between interval and ordinal data?

A

Interval is objective and ordinal is subjective

17
Q

What is the pneumonic for remembering statistical tests?

A

Carrots Should Come Mashed With Swede Under Roast Potatoes

18
Q

What is the rule of rs?

A

If a test name has an r in it, the calculated value should be equal to or more than the critical value

19
Q

What measure of central tendency should you use with interval data?

A

The mean

20
Q

What measure of central tendency should you use with ordinal data?

A

The median

21
Q

What are the types of tests?

A

A one tailed or two tailed test

22
Q

When do you use a one tailed test?

A

When there is previous research suggesting a direction

23
Q

What do the results for a one tailed test need to be to be significant?

A

In the most extreme 5% at one specified end of distribution

24
Q

When do you use a two-tailed test?

A

When there is no previous research or findings are insignificant

25
Q

What must the results of a two tailed test be to be significant?

A

In the most extreme 2.5% at one of the 2 ends of a distribution to be significant

26
Q

What are the types of errors?

A

Type 1 and type 2

27
Q

What is a type 1 error?

A

A false positive when you think there is a difference but there isn’t

28
Q

What is a type 2 error?

A

A false negative, thinking there is no difference when there is