> List members,
>
> I am planning a large telephone survey. It may not be surprising that I
> am interested in assessing more constructs than I may be able to fit
> within a reasonable amount of time. Although reducing the number of
> variables is a possibility, I vaguely recall hearing of the possibility of
> using planned missingness, and then imputing for full sample analyses. I'd
> have a core set of questions for everyone, and then randomly assign
> individuals to alternate forms of the questionnaire that have certain
> sections but not others.
>
> If my memory isn't completely off, can anyone recommend readings on how to
> implement such a plan, how to impute the missing data for full sample
> analyses, and the costs/benefits of such an approach.
Mike --
Try
Graham, J. W., Hofer, S. M., & MacKinnon, D. P. (1996).
Maximizing the usefulness of data obtained with planned missing
value patterns: An application of maximum likelihood procedures.
_Multivariate Behavioral Research, 31_ 197-218.
It seems to fit the bill.
> Thanks in advance.
>
> Mike Frone
HTH,
Pat Malone
--
Patrick S. Malone, Ph.D., Research Associate
Duke University Center for Child and Family Policy
Durham, North Carolina, USA
e-mail: [EMAIL PROTECTED]
http://www.duke.edu/~malone/
