Types of test Flashcards

1
Q

How are 2 independent groups typically compared

A
  • Randomised study (invention vs control)

- Cohort studies (exposed v non exposed)

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2
Q

What is assumed when doing an unpaired t-test?

A
  • Variable is normally distributed
  • Standard deviation is similar in two groups
  • participants are independent between groups
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3
Q

Which hypothesis is tested in an unpaired t-test?

A

That there is no difference between the two groups (null) (the most boring one)

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4
Q

Interpretation of P value

A

P < 0.001 (strong evidence against null hypothesis)

P < 0.05 (moderate)

P > 0.1 (little)

P = 1 (none)

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5
Q

What is a paired test design?

A

Participants are paired up (eg age, gender) then put in separate groups so the groups are separate but paired

Measurements are taken before and after intervention and then compared

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6
Q

What is analysis variance?

ANOVA test

A

a method for hypothesis testing - proves a global p-value comparing been across all groups

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7
Q

What is assumed when hypothesis test mean across 3 or more independent groups

A
  • Similar SD
  • Independent participants
  • Normally distributed / non skewed variable
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8
Q

when data is paired how does analysis of variance vary?

A

it is repeated

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9
Q

Assumptions when comparing mean across 3 or more paired groups?

A

difference scores normally distributed or not too skewed

SD of differences scores should be similar for any combination of groups

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10
Q

when is a post hoc pairwise comparison used?

A

when p is < 0.05 and you want to compare groups to each other

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11
Q

when using non-parametric methods how should groups be summarised?

A

using medians & interquartile ranges

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12
Q

when should non-parametric methods be used?

A

when the assumptions for parametric methods are not met

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13
Q

what test is used when comparing a quantitative variable between two independent groups?

A

Mann Whitney test

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14
Q

what test is used when comparing a quantitative variable between 3 or more independent groups?

A

Kruskal-Wallis test

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15
Q

what test is used when comparing a quantitative variable between 2 paired groups?

A

Wilcoxon signed ranks test

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16
Q

what test is used when comparing a quantitative variable between 3 or more paired groups?

A

Friedman test

17
Q

What are advantages of non-parametric methods

A

always valid for quantitative data

provide similar P-values when parametric assumptions are not met

18
Q

disadvantages of non-parametric methods?

A

do not make direct inferences about a parameter

no confidence intervals

based on analysis of ranks not actual scores

less powerful the parametric methods when assumptions are met

19
Q

How can normal distribution be checked for

A

plot histogram or box and whisker plots for each group

20
Q

How can similar SD be checked

A

SD x SD = variance

variance for one group should be no more than 4 times another group

21
Q

Standard deviation definition

A

A quantity showing how much the members of a group differ from the mean value for the group

22
Q

Standard error definition

A

a measure of how accurately a sample’s distribution represents the true distribution of the population