Opinions for module 6.1 and 6.2

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Connie Moore 

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Re:Module 6 DQ 1

In Module 4, we considered Mary's interest in doing a study to see if learning of 6th graders on a math lesson is affected by background noise level. There, she was planning to use 2 noise conditions and then analyze her outcomes using a t-test for independent groups. Describe the study Mary might plan where she would use a one-way analysis of variance (ANOVA) for independent groups instead of a t-test to study differences between noise levels. What is her independent variable here? Describe the conditions she could create for this study. What is her dependent variable? Describe a way to measure the DV so that each participant would have one score at the end that would be on a continuous scale of measurement. Support your responses.

The independent variable is the background noise level.

The one-way ANOVA requires only one independent variable which has at least 3 levels.

For the one-way analysis of variance (ANOVA), Mary must consider at least 3 levels of background noise level. The levels could be low, medium and high. The conditions she could come up with is considering the grades of each student’s exam on the math lesson where 0 is the lowest grade and 100 is the highest. If data is collected for the dependent variable in this way, then each student would have one score for the math lesson on a continuous scale of measurement. The dependent variable is learning of 6th graders on a math lesson. To use one-way ANOVA, the dependent variable must be in a continuous scale. Measuring the DV with ANOVA will determine whether the mean of the dependent variable is the same in two or more unrelated, independent groups.

The one-way analysis of variance (ANOVA) is used to determine whether the mean of a dependent variable is the same in two or more unrelated, independent groups. However, it is typically only used when you have three or more independent, unrelated groups, since an independent-samples t-test is more commonly used when you have just two groups. If you have two independent variables, you can use a two-way ANOVA.

Reference:

Laerd Statistics. Retrieved from: https://statistics.laerd.com/stata-tutorials/one-way-anova-using-stata.php

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