Zusammenfassung der Ressource
Frage 1
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In a repeated-measures ANOVA, the within-participant variability is divided into two components. What are they?
Antworten
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Total variability and random variability
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Variability between conditions and random variability
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Variability between participants and random variability
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Variability between conditions and total variability
Frage 2
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Which of the following is an important advantage of a repeated-measures ANOVA design?
Antworten
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A different sample of participants serves in each condition, making it possible to compare different populations
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Individual differences do not contribute to unsystematic variance
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A large number of participants is generally required, which provides a better glimpse of the population
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All of the above
Frage 3
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A researcher reports an ANOVA as F (2, 40) = 5.18, p = .01. How many treatment conditions were compared in this experiment?
Frage 4
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How many participants were there in the experiment reported in question 3?
Frage 5
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Sphericity is an assumption in a repeated measures ANOVA. How is sphericity calculated?
Antworten
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By looking at the difference between the first and the last condition
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By looking at the size of the differences between conditions
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By looking at variability in difference scores between conditions
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By looking at the variability within each condition
Frage 6
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Which of the following statements about the assumption of sphericity is NOT true?
Antworten
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It is the repeated measures equivalent of homogeneity of variances
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It is tested using Levene's test in SPSS
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It is automatically met when an independent variable has only two levels
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It is tested using Mauchley's test in SPSS
Frage 7
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If the assumption of sphericity is broken, which correction is available in SPSS?
Antworten
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Levene
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Mauchly
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Kolmogorov-Smirnov
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Greenhouse-Geisser
Frage 8
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The larger the F statistic in a repeated-measures ANOVA, the larger the _____________ compared to the _________
Antworten
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Variation between conditions; random variation
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Variation within individuals; variation between individuals
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Variation between individuals; variation within individuals
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Random variation; variation between conditions