The most appropriate statistical test to compare before and after scores on a treatment group is a 'dependent t-test'. This test is also known as a paired samples t-test and is specifically designed for analyzing data where each participant contributes two scores, one before the treatment and one after. The dependent t-test takes into account the correlation between the two scores for each participant, making it suitable for comparing changes within the same group.

Comparing Before and After Scores in a Treatment Group: Which Statistical Test?

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