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PSYC 2950 > 2950 midterm 2 > Flashcards

2950 midterm 2 Flashcards

1
Q

What research design are we looking at with two or more conditions and the same participants within the study

A

Repeated Measures ANOVA

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2
Q

What research design are we looking at with two or more conditions and different participants within the study

A

Independent Measures ANOVA

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3
Q

When do we need to complete Tukey post-hoc tests

A

When the overall ANOVA is significant

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4
Q

What is the formula for SSbetween

A

The sum of T squared all over n subtract G squared all over N

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5
Q

What is the formula for SStotal

A

The sum of X squared subtract G squared all over N

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6
Q

What is the formula for SSwithin

A

SStotal subtact SSbetween

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7
Q

What is the formula for SSbetween subjects for the independent measures ANOVA

A

SStotal subtract SSwithin

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8
Q

What is the formula for SSbetween subjects for the repeated measures ANOVA

A

The sum of P squared all over k subtract G squared all over N

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9
Q

What is the formula for MSbetween

A

SSbetween all over dfbetween

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10
Q

What is the formula for MSwithin

A

SSwithin all over dfwithin

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11
Q

What is the formula for Fmax

A

MSbetween all over MSwithin

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12
Q

What is the formula for dftotal

A

N subtract 1

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13
Q

What is the formula for dfbetween

A

k subtract 1

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14
Q

What is the formula for dfwithin

A

N subtract k

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15
Q

What is the formula for dfbetween subjects

A

n subtact 1

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16
Q

What is the formula for dferror

A

(N - k) - (n - 1)

17
Q

What is the tukey HSD formula for the independent measures ANOVA

A

q sqaure root MSwithin all over n

18
Q

What is the tukey HSD formula for the repeated measures ANOVA

A

q square root MSerror all over n

19
Q

What is the formula for eta squared

A

SSbetween all over SStotal subtract SSbetween subjects

20
Q

What is a factor

A

The variable that designates the groups being compared

21
Q

What are levels

A

The individual conditions or values that make up a factor

22
Q

What is the testwise alpha level

A

The risk of a type 1 error, or alpha level for an individual hypothesis test

23
Q

What is the alpha level (expertimentwise)

A

The total probability of a type 1 error thatis accumulated from all of the individual tests in the experiment

24
Q

What is the alpha level usually set as

A

The alpha level is usually set as 0.05

25
Q

What does between-treatments variance measure

A

It measures how much difference exists between the treatment conditions

26
Q

What is the error term

A

The error term provides a measure of the variance caused by random and unsystematic differences. When the treatment effect is zero, the error term measures the same source of variance as the numerator of the F-ratio

27
Q

What is the letter k used to identify

A

The letter k is used to identify the number of treatment conditions, for an independent measures study k also specifies the number of seperate samples

28
Q

What does the lowercase n identify

A

A lowercase n is used to identify the number of scores in each treatment, if the sample sizes are different you can identify a specific sample by using a subscript

29
Q

What does the uppercase N identify

A

An uppercase N is used to identify the number of scores in the entire study

30
Q

What does the letter T identify

A

The sum of the scores for each treatment condition is identified by the letter T

31
Q

What does the letter G identify

A

The sum of all of the scores in the research study is identified by G

32
Q

How do you compute G

A

You can compute G by adding up all N scores or all of the treatment totals

33
Q

How many calculations are required for the ANOVA

A

There are 9 total calculations, all related and directed towards finding the final F-ratio

34
Q

What is the first thing we need to do when computing an ANOVA

A

We need to compute the total sum of squares and then partition it off into two components, SS between and SS within

35
Q

What is the second step when computing an ANOVA

A

Compute the degrees of freedom for dftotal, dfbetween, and dfwithin

36
Q

What is the third step when computing an ANOVA

A

Compute the variance between treatments and variance within treatments (MSbetween and MSwithin)

37
Q
A

PSYC 2950 (3 decks)

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