Score data: Each subject is assigned a numerical score that represents its performance or behavior. This type of dependent variable includes data on a ratio scale where the scale has constant interval size plus a true zero (e.g., weight) and also data on an interval scale where the scale has constant interval size but not a true zero (e.g., degrees C or degrees F)
Ordered data = Ordinal data: Each subject is assigned a rank that represents its position along some ordered dimension.
Frequency data = Nominal data: Each subject is counted as being in a particular classification, or cross-classification, of categories.
4. Between-subjects design: In a between-subjects design, all comparisons between different conditions (groups) are based on comparisons between different subjects.
5. Within-subjects design: In a within-subjects design, all comparisons between different conditions (groups) are based on comparisons within the same group of subjects.
6. Mixed design: A combination of a between-subjects comparison and within-subjects comparison in the same experiment.
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