Test of Differences Flashcards

1
Q

parametric data

A
  • allow for eval of hypotheses for a particular population parameter
  • continuous data
  • normal distribution
  • roughly equal variance btw groups
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2
Q

non-parametric

A
  • allow for eval of hypotheses for entire population distributions
  • categorical or continuous data
  • no assumptions –> non-normal distribution and unequal variance
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3
Q

independent t-test

A
  • parametric

- evaluates whether two means collected from two independent samples differ

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4
Q

paired t-test

A

evaluates whether two means collected from the same samples differ or 2 paired observations

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5
Q

ANOVA

A
  • 3 or more independent groups differ
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6
Q

repeated measures ANOVA

A

an ANOVA for data that has been measured repeatedly on the same subjects

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7
Q

factorial ANOVA

A

used when a continuous outcome has been measured with mulitple factors to test significant effect of those factors

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8
Q

mixed ANOVA

A

used when a continous outcome has been measured with multiple groups repeatedly over time

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9
Q

analysis of covariance (ANCOVA)

A
  • used when a continous outcome has been measured with a confounding variable for the purpose of adjusting the confounder
  • control for other factors that might influence the outcome
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10
Q

common used of an ANCOVA

A
  • experimental designs, to control for factors which cannot be randomized but which can be measured on an interval scale
  • observational designs, to remove the effects of variables which modify the relationship of the categorical independents to the interval dependent
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11
Q

non-parametric data works on what

A
  • the principle of ranking the data (ordinal)

- ranked from smallest to largest

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12
Q

limitations to non-parametric tests

A
  • hold less statistical power
  • may not be directly testing null hypothesis of interest
  • limited choices
  • cannot be related to the confidence interval
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13
Q

mann-whitney U test

A
  • takes place of independent t-test

- two means from two independent samples differ

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14
Q

Wilcoxen signed rank test

A
  • like a paired t-test

- two means collected from same sample differ

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15
Q

kruskal-walls H test

A
  • like ANOVA

- test the mean difference btw independent groups

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16
Q

friedman test

A
  • like RM-ANOVA

- test the mean difference btw related groups