11. Comparing Means Flashcards

1
Q

What is the T-test used for?

A

to assess whether two group means are different

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2
Q

IVs and DVs in the t-test

A

only 1 IV

only 1 DV

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3
Q

t-test statistic equation

A

t-test = (model ÷ error)

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4
Q

two types of t-test

A
  • independent means t-test

- dependent means t-test

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5
Q

When do you use an independent means t-test?

A
  • 2 experimental conditions

- different participants assigned to each condition

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6
Q

What is the independent means t-test also called?

A
  • independent samples

- unpaired

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7
Q

What must you acknowledge with an independent means t-test?

A

unsystematic variance

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8
Q

How do you use the independent means t-test score?

A
  • compare value of t against the max value that would be expected to have by chance alone in a t-distribution with same df
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9
Q

What happens if the t-stat is more than the critical value in an independent means t-test?

A

results are due to the effect of the IV and not by chance alone

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10
Q

When do you use the dependent means t-test?

A

same group of people are exposed to different treatments or are assessed before and after an intervention

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11
Q

dependent means t-test and experimental conditions

A
  • 2 experimental conditions

- same participants take part in both

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12
Q

dependent means t-test is also called

A
  • dependent samples

- paired t-test

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13
Q

How do you use the dependent means t-test score

A
  • calculate t-test stat and compare against the max value that would be expected to have occurred by chance alone in a t-distribution with the same df
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14
Q

What is the critical value?

A

max value that would be expected to have occurred by chance alone

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15
Q

If the t-stat is more than the critical value, results are due to

A

the effect of the IV and not by chance alone

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16
Q

Assumptions for independent t-tests

A
  • normally distributed
  • interval data
  • homogeneity of variance
  • independence
17
Q

Assumptions for dependent t-tests

A
  • normally distributed

- interval data

18
Q

degrees of freedom

A
  • number of observations that are free to vary

- 1 less than the sample size

19
Q

What are your 3 options if the data isn’t normally distributed?

A
  • use a larger sample
  • transform the distribution
  • use non-parametric tests