stats/methods ii jeopardy. jeopardy compare & contrast repeated- measures anova factorial design...
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Stats/Methods II
JEOPARDY
JeopardyCompare & Contrast
Repeated-Measures ANOVA
Factorial Design
Factorial ANOVA
Surprise
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Compare & Contrast--$100
In a between-subjects design, each participant contributes ___ score(s), but in a within-subjects design, each participant contributes _______ score(s).
answer
Compare & Contrast--$200
This part of the F-ratio is the same for both between- and within-subjects designs.
answer
Compare & Contrast--$300
The additional preliminary calculation required for a within-subjects design.
answer
Compare & Contrast--$400
When individual differences are large, this design is more likely to miss a significant treatment effect when one really exists.
answer
Compare & Contrast--$500
The denominators for a between- and within-subjects ANOVA, respectively.
answer
Repeated-M ANOVA--$100
The consistent performance (individual differences) of a subject is represented by this SS.
answer
Repeated-M ANOVA--$200
Because the same participant serves in all treatments, individual differences are automatically removed as a source of variability in this SS.
answer
Repeated-M ANOVA--$300
In a repeated measures design, if F(3, 24) = 4.67, then each participant serves in ___ treatment conditions.
answer
Repeated-M ANOVA--$400
When figuring SSs in a within-subjects design, ___ is often referred to as the residual term because it is the variability left after ___ is subtracted from it.
answer
Repeated-M ANOVA--$500
In a repeated-measures design, if k = 5 and dfTotal = 40, then dfWithin Treatments = ___.
answer
Factorial Design--$100
μA1 = μA2 assumes there will be no _________.
answer
Factorial Design--$200
The major advantage of conducting a factorial experiment is the ability to assess this.
answer
Factorial Design--$300
The two values you need to look up the critical value of FAxB.
answer
Factorial Design--$400
In a factorial design, these effects may not accurately represent the mean differences between individual treatment conditions.
answer
Factorial Design--$500
The analysis that looks for mean differences within an individual column (or row) of the treatment matrix.
answer
Factorial ANOVA--$100
The number of hypothesis tests included in a two-factor ANOVA.
answer
Factorial ANOVA--$200
In a factorial experiment, this type of variability is partitioned into 3 components.
answer
Factorial ANOVA--$300
When looking at an AB treatment matrix, the numbers that enter into tests of main effects.
answer
Factorial ANOVA--$400
In a 4x2 factorial design, the number of treatment totals entering into the analysis for the interaction.
answer
Factorial ANOVA--$500
In order to graph the interaction, calculate _____ and plot them. Lines that _______ indicate the possibility of an interaction.
answer
Surprise--$100
In plotting the interaction, parallel lines indicate.
answer
Surprise--$200
The number of main effects that can be assessed in a 2 x 2 x 2 factorial experiment.
answer
Surprise--$300
In a factorial experiment, this F-ratio, when significant, should be interpreted first.
answer
Surprise--$400
In any ANOVA, these are added in order to obtain SSwithin treatment.
answer
Surprise--$500
Use a within-subjects design when subjects are _____ to obtain and individual differences are ______.
answer
Compare & Contrast--$100
A: What is 1 and more than 1?
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Compare & Contrast--$200
A: What is the numerator or MSBetween Treatments?
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Compare & Contrast--$300
A: What are P totals?
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Compare & Contrast--$400
A: What is a between-subjects design?
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Compare & Contrast--$500
A: What is MSWithin Treatment and MSerror?
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Repeated-M ANOVA--$100
A: What is SS Between Subjects?
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Repeated-M ANOVA--$200
A: What is SS Between Treatments?
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Repeated-M ANOVA--$300
A: What is 4?
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Repeated-M ANOVA--$400
A: What is SSerror and SSBetween Subjects?
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Repeated-M ANOVA--$500
A: What is 36?
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Factorial Design--$100
A: What is main effect of A?
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Factorial Design--$200
A: What is an interaction?
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Factorial Design--$300
A: What are dfAxB(numerator) & df Within Treatment (denominator)?
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Factorial Design--$400
A: What are main effects?
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Factorial Design--$500
A: What is simple main effects?
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Factorial ANOVA--$100
A: What are 3?
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Factorial ANOVA--$200
A: What is between treatments?
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Factorial ANOVA--$300
A: What are column (or row) totals (or means)?
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Factorial ANOVA--$400
A: What are 8?
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Factorial ANOVA--$500
A: What are treatment means and converge or cross?
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Surprise--$100
A: What is no interaction ?
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Surprise--$200
A: What are 3?
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Surprise--$300
A: What is FAxB?
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Surprise--$400
A: What are SS inside each treatment?
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Surprise--$500
A: What are difficult and large?
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