Question

Suppose you are comparing the effect of the Covid pandemic on people's posts on social media. If you coded the posts of the same people from before to during the pandemic, and the scores are all interval, what test do you have to compute to examine the difference? A) Independent samples t-test

B) Paired samples t-test
C) Analysis of Variance (ANOVA)
D) Chi-square test

Answer 1

The test that needs to be computed to examine the difference between coded posts on social media by the same people from before to during the Covid pandemic is the paired samples t-test.

Step-by-step explanation:

The test that needs to be computed to examine the difference between coded posts on social media by the same people from before to during the Covid pandemic is the paired samples t-test.

In a paired samples t-test, the subjects or measurements are matched in pairs, and the differences between the measurements are calculated. The test then compares the mean of the differences to a hypothesized value using a t-distribution.

This test is appropriate for comparing the effect of Covid on people's posts on social media because it allows us to analyze the differences within the same individuals over time, taking into account the correlation between the paired measurements.