Exam 5 - One way vs Repeat measures ANOVA

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Last updated 9:37 PM on 7/19/26
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43 Terms

1
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Q: When should you use a one-way ANOVA?

A: When comparing three or more independent groups (different participants in each group).

2
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Q: When should you use a repeated-measures ANOVA?

A: When the same participants are measured in every treatment or at every time point.

3
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Q: What is the easiest way to decide between a one-way and repeated-measures ANOVA?

Ask: Are the same participants in every treatment?

  • Yes → Repeated Measures

  • No → One-Way

4
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Q: In a one-way ANOVA, how many scores does each participant contribute?

A: One score.

5
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Q: A study compares stress levels among medical, nursing, and pharmacy students. Which ANOVA should be used?

A: One-Way ANOVA (different participants in each group).

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Q: A study measures blood pressure before, during, and after meditation using the same participants. Which ANOVA should be used?

A: Repeated-Measures ANOVA (same participants measured multiple times).

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Q: Why do researchers often use a one-way ANOVA instead of a repeated-measures ANOVA?

A: Because some treatments cannot be given to the same participants without carryover effects or practical issues.

8
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Q: Which ANOVA controls for differences between participants by calculating SSsubjects?

A: Repeated-Measures ANOVA.

9
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Q: True or False: If participants are randomly assigned to one of three treatment groups, a repeated-measures ANOVA should be used.

A: False. Use a one-way ANOVA because each participant is in only one group.

10
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Q: True or False: If each participant completes all three treatments, a one-way ANOVA should be used.

A: False. Use a repeated-measures ANOVA because the same participants experience every treatment.

11
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Different people = _______ ANOVA. Same people = ___________ ANOVA.

One-Way; Repeated-Measures

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In regards to a raw scores table on one-way vs repeated measures ANOVA, what is the difference?

in repeated measures, you are now calculating for the SSsubj and need to get Σ for each subject. This will be used to fine SSsubj

<p>in repeated measures, you are now calculating for the SSsubj and need to get Σ for each subject. This will be used to fine SSsubj </p><p></p><p></p>
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How to find K for raw scores table?

Count horizontally the number of levels next to the subjects

<p>Count horizontally the number of levels next to the subjects</p>
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How to find SSsubj?

Σ of every level per subject / K

<p>Σ of every level per subject / K</p><p></p><p></p>
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How to find SStrt?

Σ of one one level for every subject / N

<p>Σ of one one level for every subject / N </p><p></p><p></p>
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How to find N?

total amount of subjects (or whatever we are investigating)

You just count down vertically

<p>total amount of subjects (or whatever we are investigating)</p><p></p><p>You just count down vertically</p>
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What is needed for raw scores table in one way ANOVA?

ΣX (then summation of this)

ΣX2 (then summation of this)

N (then summation of N)

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What is needed for raw scores table in repeated measures ANOVA?

ΣX (then summation of this)

ΣX2 (then summation of this)

N (then summation of N)

AND summation of each level per subject (calculated horizontally - blue arrow)

<p>ΣX (then summation of this) </p><p>ΣX<sup>2 </sup>(then summation of this) </p><p>x̄ </p><p>N (then summation of N) </p><p></p><p>AND summation of each level per subject (calculated horizontally - blue arrow) </p>
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Which df calculation is the same in one way and repeat measures ANOVA?

dftot

dftot - Ntot - 1

20
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dftrt calculation in one way vs repeated measures?

One way → K - 1

Repeated → Nk - 1

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dferr calculation in one way vs repeated measures?

One way → Ntot - K

Repeated → (Nt-1)(Nk - 1)

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dfsubj calculation in one way vs repeated measures?

One way → dont need

Repeated → (Nt - 1)

23
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Q: What is Ntotal in an ANOVA?

A: The total number of scores (observations) in the entire experiment.

24
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Q: How do you calculate Ntotal?

A: Add together the number of observations from all treatment groups.

25
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Q: Three treatment groups contain 8, 8, and 8 participants. What is Ntotal?

24

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Q: A repeated-measures study has 10 participants measured at 4 time points. What is Ntotal?

A: 40 (10 × 4)

27
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Q: What does K represent in ANOVA?

A: The number of treatment groups (levels of the IV).

28
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Q: Is K the number of participants?

A: No. It is the number of treatments (levels).

29
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Q: A study compares four different diets. What is K?

4

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Q: Participants are tested before, during, and after meditation. What is K?

3

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Q: What does Nk represent?

A: The number of observations (scores) in a particular treatment group (level).

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Q: In a balanced ANOVA, what is true about every Nk?

A: Every treatment group has the same Nk.

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Q: A study has four treatment groups with 12 participants in each group. What is Nk?

12

34
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Q: A repeated-measures study has 15 participants measured at five time points. What is Nk?

A: 15 (each treatment contains one score from each participant)

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Q: What does Nt represent?

A: The number of participants (subjects).

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Q: In a repeated-measures ANOVA, how is Nt different from Ntotal?

A: Nt counts participants only, while Ntotal counts every score collected.

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Q: A repeated-measures study has 18 participants measured at three time points. What is Nt?

A: 18

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Q: A one-way ANOVA has 24 participants divided into three groups. What is Nt?

24

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Q: A one-way ANOVA compares three teaching methods. There are 10 students in each group. Identify K, Nk, and Ntotal.

  • K = 3

  • Nk = 10

  • Ntotal = 30

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Q: A repeated-measures study measures 12 participants before, during, and after treatment. Identify Nt, K, Nk, and Ntotal.

  • Nt = 12

  • K = 3

  • Nk = 12

  • Ntotal = 36

41
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Q: A study has five treatment groups with 9 participants in each group. Identify K, Nk, and Ntotal.

  • K = 5

  • Nk = 9

  • Ntotal = 45

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Q: A repeated-measures experiment has 20 participants measured under four conditions. Identify Nt, K, Nk, and Ntotal.

  • Nt = 20

  • K = 4

  • Nk = 20

  • Ntotal = 80

43
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  • ___ = All scores

  • ___ = Groups/Levels

  • ___ = Scores per group

  • ___ = People

  • Ntotal = All scores

  • K = Groups/Levels

  • Nk = Scores per group

  • Nt = People