To look at variability in a group, a researcher with ordinal level data would use
A) quartile deviation.
B) range.
C) standard deviation.
D) standard score.

Question

Quizplus · Accepted Answer

Since the researcher has ordinal level data, the most appropriate choice for measuring variability is the quartile deviation. This is because quartiles are used to divide a distribution into four equal segments, which can give a more accurate representation of the spread of data in a skewed data set. Thus, quartile deviation would help the researcher to identify the range of values that encompass the middle 50% of the data, allowing for a more comprehensive understanding of the variability within a group.

To Look at Variability in a Group, a Researcher with Ordinal