Week 4-T tests Flashcards

1
Q

Give 3 different names of within-subjects t-tests

A

1.Paired samples
2.Dependant samples
3.Related samples

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2
Q

What are within-subjects t-tests?

A

Compares the mean of the same group but at different times e.g., before vs after treatment

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3
Q

Give 4 different names of between-subjects t-tests

A

1.Unpaired samples
2.Independent samples
3.Unrelated samples
4.Alternative:Welch’s test

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4
Q

What are between-subjects t-tests?

A

compares the mean of two independent groups (one group of participants compared to another)

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5
Q

What’s the history of the student’s (Independent) t-test?

A

■ William Gosset was a chemist who worked in the Guinness brewery in Dublin
■ Created the t-test as an easy way to measure the stout quality.
■ Guinness banned their workers from publishing findings.
■ So published under the name ‘student’
■ T-tests sometimes called ‘Student’s t-tests’ BUT now mostly referred to as the ‘Independent t-test’

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6
Q

What design is the Independent t-test?

A

Between-subjects design

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7
Q

What are the 3 assumptions of the independent t-test?

A

■ Data must be continuous / scale (i.e., Interval or Ratio)
■ Data must be normally distributed (i.e., not skewed)
■ Data must have homogeneity of variance (i.e., variance between groups are equal)

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8
Q

True or false: comparing 2 different groups can be naturally occurring groups: sex (male vs. female), age (20s vs. 50s) OR experimental groups: treatment type (drug vs. placebo).

A

True

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9
Q

Define heterogeneity of variance/heteroscedasticity

A

The variance between groups is not similar

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10
Q

How do we know if we have homogeneity of variance?

A

■Levene’s test: Tests the null hypothesis that the population variances are equal.
■Levene’s test is significant (p < .05)=HoV is violated. (and is hetero)
■Leads to an increased likelihood we will find a significant effect when there isn’t one (false positive; Type 1 error).

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11
Q

Do you need to report Levene’s test in a report?

A

NO. You just report the results of the t-test with either equal variances assumed or equal variances not assumed.

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12
Q

What’s the Welch’s Test?

A

■ An alternative to the Independent t-test which doesn’t assume HoV.
■ It’s actually an F-test which technically makes it closer to an ANOVA, but it can be used for two groups.

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13
Q

True or false: Some statisticians suggest we should always report Welch’s test regardless of homogeneity of variance

A

True

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14
Q

What design is a paired-sample t-test?

A

Within-subjects design

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15
Q

What are 2 assumptions of a paired-samples t-test?

A

■ Data must be continuous / scale (i.e., Interval or Ratio)
■ Data must be normally distributed (i.e., not skewed)

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16
Q

What should be the primary effect size?

A

Cohen’s D BUT Omega-squared can also be used if you have used Welch’s.

17
Q

What graph should be used for t-tests?

A

Bar Charts