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2021
In the previous chapter, you learned to compare the means of a numeric variable between two groups. But what if you want to compare a ratio or interval variable between more than two groups? If you are interested in comparing across more than two groups, you cannot run multiple t-tests because it increases the risk of a type I error (mistakenly ...
Ton J. Cleophas, Aeilko H. Zwinderman
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In the previous chapter, you learned to compare the means of a numeric variable between two groups. But what if you want to compare a ratio or interval variable between more than two groups? If you are interested in comparing across more than two groups, you cannot run multiple t-tests because it increases the risk of a type I error (mistakenly ...
Ton J. Cleophas, Aeilko H. Zwinderman
+5 more sources
The Analysis of Variance (ANOVA)
Nutritional Neuroscience, 1999This is the fourth in a series of articles devoted to a simplified description of experimental design, statistical analysis and interpretation. This article deals with a basic description of the analysis of variance (ANOVA) and its methods of computation and hypothesis testing.
H W, Thompson, R, Mera, C, Prasad
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2010
Rietveld and van Hout (2005) provide this fictional example involving three second-language vocabulary learning methods (I, II, III), with three different groups of participants assigned to each method.1 The relative effectiveness of the learning methods is evaluated on some scale by scoring the increase in vocabulary after using the method.
Shravan Vasishth, Michael Broe
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Rietveld and van Hout (2005) provide this fictional example involving three second-language vocabulary learning methods (I, II, III), with three different groups of participants assigned to each method.1 The relative effectiveness of the learning methods is evaluated on some scale by scoring the increase in vocabulary after using the method.
Shravan Vasishth, Michael Broe
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2020
The ANOVA chapter follows the same pattern with an introduction, purpose, and history section. It also provides a look into the mechanics of the test. It includes equations for the within-group variance, between-group variance, and the F-statistic. It also specifies the assumptions that underlie the tests.
Philip Stoker, Guang Tian, Ja Young Kim
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The ANOVA chapter follows the same pattern with an introduction, purpose, and history section. It also provides a look into the mechanics of the test. It includes equations for the within-group variance, between-group variance, and the F-statistic. It also specifies the assumptions that underlie the tests.
Philip Stoker, Guang Tian, Ja Young Kim
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2012
In this chapter, we generalize the simple t-test for situations where the factor variable takes more than two possible values; hence, the population of interest is divided into multiple groups. The response variable is numerical as before. Analysis of variance (ANOVA) is a method of comparing the means of the response variable across different groups ...
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In this chapter, we generalize the simple t-test for situations where the factor variable takes more than two possible values; hence, the population of interest is divided into multiple groups. The response variable is numerical as before. Analysis of variance (ANOVA) is a method of comparing the means of the response variable across different groups ...
openaire +2 more sources