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Chapter 07 – Measurement and Scaling
The raw data being collected is information on the frequency of doing a specific type of
behavior [travel]. The level is interval; the scaling properties of assignment, order, and
distance are activated. The most appropriate measure of central tendency would be the mean,
with dispersion—standard deviation. One can argue there are two problems with this
question.
• It is double-barreled, coupling traveling for business and pleasure together when they
should appear in separate questions.
It could be suggested that once the original question is separated into two questions, one
might want to use a ratio scale design to capture the data responses to maximize analytical
options later.
C. Example:
The raw data being captured here is a respondent’s income level before taxes. This is an
interval question, so assignment, order, and distance are being activated. The measures of
central tendency and dispersion will be the same as those listed for Example A, unless of
course some of the class participants raise worthwhile arguments to classify the question as
an ordinal one. The following are the two problems with this question.
• Some hesitate to answer income questions accurately.
4. For each of the listed concepts or objects, design a scale measurement that would enable you
to collect data on that concept or object.
a. An excellent long-distance runner
b. A person’s favorite Mexican restaurant
a. Example: State-of-being, mind, behavior, and intention all figure in here. If the excellence
refers to “timing” and/or “distance,” a ratio question format might be most appropriate from
a response and analytical standpoint.
b. Example: State-of-mind, behavior, and intention are good candidates here. If the question
seeks to define a “choice” within a local competitive environment, a nominal question might
suffice.