Between subject T-test Flashcards

1
Q

overview

A

Different ppt in every condition
-pro: no order effect
-con: less powerful-indiv differences

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2
Q

T -Test

A

How likely are we to obtain the difference between conditions if the null hypothesis is true?
- is variance between conditions larger than within

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3
Q

Assumptions-normality Testing

A

~ Shapiro-wilk Test
- normal distribution =not sig different from normal
- want value to be greater than 0.05

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4
Q

one sample T- Test intro

A

compare data from experiment with 1 single number
did ppts score higher than national avg

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5
Q

one sample T-test assumptions

A

independent data (between subject)
continuous dater (interval traction)
Normally distributed

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6
Q

one sample T-test reporting results

A

the mean spread of ppts was_. The data met assumptions of a one-sample t-test which revealed that _

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7
Q

Non parametric alternative for one sample T-Test

A
  • If data violate assumptions
    one sample Wilcoxon signed rank test
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8
Q

independent sample T -Test assumptions

A

independent data
Interval or ratio
N= 12 +
normally distributed
Homogeneity of variance

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9
Q

Independent T- Test Homogeneity of variance

A

Is variance in 1 condition similar to other
1) look at descriptive Stats
2)Are graphs a similar shape
3) Run Leven’s Test
Q-Q plot will fall on diagonal line
-Levene result p greater than 0.05

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10
Q

Independent T- Test reporting

A
  • 1 I V with 2 levels
    The mean was calculated for condition A + B . The data met the assumption which revealed that.
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11
Q

Independent Non parametric AIterative

A
  • If fails homogeneity but passes everything else report results of t-test but from not assumed row
  • Mann -Whitney U Test
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