How does the paired-samples t test evaluate individual differences while the ind
ID: 3158122 • Letter: H
Question
How does the paired-samples t test evaluate individual differences while the independent-samples t test evaluates group differences? The paired-samples test compares differences across small related groups while the independent-samples test compares individual difference scores across two independent conditions. The paired-samples test compares individual scores across two conditions while the independent-samples test compares individual scores across more than two conditions. The paired-samples test compares differences across two closely related conditions while the independent-samples test compares group differences across two unrelated conditions. The paired-samples test compares individual scores across two conditions while the independent-samples test compares the means of two separate groups across conditions. How does the paired-samples t test evaluate individual differences while the independent-samples t test evaluates group differences? The paired-samples test compares differences across small related groups while the independent-samples test compares individual difference scores across two independent conditions. The paired-samples test compares individual scores across two conditions while the independent-samples test compares individual scores across more than two conditions. The paired-samples test compares differences across two closely related conditions while the independent-samples test compares group differences across two unrelated conditions. The paired-samples test compares individual scores across two conditions while the independent-samples test compares the means of two separate groups across conditions.Explanation / Answer
Use a paired samples t-test when you're testing the same people twice, such as when you give the same person a pre-test (Time 1), then a post-test (Time 2), and you compare his/her scores at two different times (to see if there's a significant difference between the scores at Time 1 vs. the scores at Time 2).
Use an independent samples t-test when you're testing different people's scores (such as men vs. women) to see if there's a significant difference between their scores.
Hence,
Answer is
The paired-samples test compares individual scores across two conditions while the independent-samples test compares the means of two separate groups across conditions.
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