When Should Independent or Dependent T-Tests be Used
Independent and dependent t tests are similar, but comparing two different groups and two groups with repeated measures (i.e., pre- or post-testing) serve very different purposes.
Develop an original response proposing two hypothetical scenarios, as follows:
Name a dependent variable you could compare, for both an independent and dependent t test. (Do not use the variables in the Sample Dataset you are using for assignments.)
The independent t test should compare the dependent variable between two groups (i.e., divided by race, gender, socioeconomic class, or some other factor).
The dependent t test should be conducted on the same group (same sample, same data) where the dependent variable is measured twice (pre- and posttest).
When Should Independent or Dependent T-Tests Be Used
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When Should Independent or Dependent T-Tests Be Used
The independent t-test is a statistical test used to compare the mean of two distinct groups. It assesses whether a statistically significant difference exists between the averages of the two unrelated groups (Mishra et al., 2019). Independent, unrelated, or unpaired groups imply that participants in each group are different; participants in one group cannot also be in the other group. When conducting an independent t-test, the dependent variable should be continuous, while the independent variable should be categorical with two categories.
On the other hand, the dependent t-test is an inferential test that compares the average of two related or paired groups to establish whether a significant difference exists between the two groups. Paired or related groups indicate that the same participants are in both groups; the same subjects
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