After looking in Osgood, Suci, and Tannenbaum's "The Measurement of Meaning"
and Snider and Osgood's "Semantic Differential Technique," plus several of
Osgood's individual articles, I cannot find the answer to this simple
question:
In scoring the Semantic Differential, does one treat MISSING data (i.e., a
scale to which a subject failed to give a response) as "null" or do you
assign it the "middle value" of your scale (i.e, 4 on a 1-to-7 scale, or 0
in a -3-to-+3 scale)?
Clearly, Osgood hints that if the response is "not applicable" then the
middle scale is the answer. And NOT having any response (i.e., null)
distorts the computation of the Osgood D, which is at the center of my
research.
Has anyone seen anything in the literature, or has your own work delivered
any insights, which would cast light on this problem?
Thank you for a quick reply, either here or (better) direct to my e-mail
address!
Grover Proctor
Dean
Northwood University
[EMAIL PROTECTED]
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