Data transformations are legitimate
A)because no information is lost or distorted.
B)when performed post hoc.
C)because the order of scores is not altered.
D)when they favor a researcher's hypothesis.

Question

Quizplus · Accepted Answer

Data transformations are legitimate when they only change the scale of measurement or distribution without altering the order of scores. This type of transformation can help make data more interpretable or easier to work with without losing or distorting information. However, if transformations are made based on a researcher's desired outcome (such as favoring a particular hypothesis) or if they result in the loss or distortion of information, they are not considered legitimate. Transformation should ideally be planned and justified before the data is collected rather than performed post hoc.

Data Transformations Are Legitimate