Date:         Wed, 4 Jun 2008 10:51:04 -0400
Reply-To:     "Dates, Brian" <BDATES@swsol.org>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         "Dates, Brian" <BDATES@swsol.org>
Subject:      Re: Handling Don't Know Responses in Scale Construction
In-Reply-To:  A<17643466.post@talk.nabble.com>
Content-Type: text/plain; charset="US-ASCII"

Hannah,

There is a lot of information on how to treat don't know responses in
Likert-type scales, at least 90% of which indicates that don't know's
should be treated as missing data.  IF you decide to impute values for
the missing data DON'T use mean or hot deck or regression methods.
These approaches, while all we had years ago, attenuate the variance and
create problems with interpreting the results.  Use an MLE (EM) approach
or an MI approach.  There is free software available (NORM) which will
do this for you.  But if you decide to impute values, read about the
types of missing data and the extent to which imputation can provide
valid data.

Brian

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