Inferring differences over time Flashcards

(19 cards)

1
Q

when should a repeated measures t-test be used?

A

when looking at a difference over two time points with continuous variables that are normally distributed

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2
Q

if you are looking at a difference between two time points with continuous variables that are normally distributed, which statistical test should you use?

A

Repeated measures t-test

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3
Q

when should a Wilcoxon Z test be used?

A

when looking at a difference over two time points with continuous variables that are not normally distributed

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4
Q

if you are looking at a difference between two time points with continuous variables that are not normally distributed, which statistical test should you use?

A

Wilcoxon Z test

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5
Q

if you are looking at a difference between two time points with ordinal variables, which statistical test should you use?

A

Wilcoxon Z test

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6
Q

if you are looking at a difference between two time points with nominal binary variables, which statistical test should you use?

A

Wilcoxon Z test

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7
Q

if you are looking at a difference between two time points with nominal non-binary variables, which statistical test should you use?

A

Chi square

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8
Q

what is the repeated measures t-test?

A

Compares the means of these 2 variables and tests the null hypothesis (p<0.05): ‘there has been no change in the mean value over time in the population’

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9
Q

what is the Wilcoxon Z test?

A

Turns the data into ranks - discards some information so less desirable
Compares mean ranks of these 2 measures and tests the null hypothesis (p<0.05): ‘there has been no change in the mean rank value over time in the population’

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10
Q

if p > 0.05 then…

A

the result is not significant so you report p=n.s. meaning we cannot reject our null hypothesis

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11
Q

if p < 0.05 then…

A

the result is significant so you report p<0.05 meaning we can reject our null hypothesis

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12
Q

if p < 0.01 then…

A

the result is significant so you report p<0.01 meaning we can reject our null hypothesis

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13
Q

if p < 0.001 then…

A

the result is significant so you report p<0.001 meaning we can reject our null hypothesis

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14
Q

how do you carry out SPSS output & report for repeated measures t-test?

A

Which time point has the higher mean?
Look at significance value:
i. If value of Sig is more than 0.05 –> not a significant difference –> accept null hypothesis
ii. If value of Sig is less than 0.05 –> was a significant difference –> reject null hypothesis

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15
Q

What elements from the SPSS table is needed when reporting the results of a repeated measures t-test?

A

Mean, standard deviation, degrees of freedom, t-value, p-value

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16
Q

Example write-up of the results from a repeated measures t-test:

A

“the average maths knowledge of pupils at the beginning of term (M=0.08, SD=12.72) was not significantly different to that at the end of this term (M=0.40, SD=12.06); f(461)=0.61, p=n.s.”

17
Q

how do you carry out SPSS output & report for Wilcoxon Z test?

A

Which time point had the higher mean rank?
Look at significance value:
i. If value of Sig is more than 0.05 –> not a significant difference –> accept null hypothesis
ii. If value of Sig is less than 0.05 –> was a significant difference –> reject null hypothesis

18
Q

What elements from the SPSS table is needed when reporting the results of a Wilcoxon Z test?

A

Mean rank, Z-value, p-value

19
Q

Example write-up of the results from a Wilcoxon Z test:

A

“The average maths knowledge of pupils at the beginning of term was not significantly different to that at the end of this term; Z=0.73, p=n.s.”