[amelia] Imputing for missing ordinal data at level 1?

Hello. A colleague has suggested that Amelia can be used to address the missing data problem described below. I just subscribed to Amelia list – so please let me know if there is a protocol in to posting that I am unaware of. I am hoping that folks on the list are willing to 1. Let me know if they believe Amelia can be used to address this problem 2. Point me in the right direction as to where I can read about Amelia’s approach to this problem I write looking for recommended resources/references on imputing for missing values of ordinal data at Level 1 (taking clustering into account). Responses on or off list will be appreciated. The relevant data are nested (two levels). There are no missing data at Level 2 (number of groups = 32). The missing data at Level 1 are from ordinal variables (i.e., 32 Likert scale variables with 5 ordered categories). Within said variables there is not much missingness (i.e., no more than 5%). A multidimensional measurement model that accounts for the ordinal nature of the data (probit) will be imposed across the imputed datasets (all 32 variables). Thank you. nick myers ----------------------------------------------------------------------------------------------------------- Nicholas D. Myers, Ph.D. University of Miami School of Education Department of Educational and Psychological Studies Research, Measurement and Evaluation program Merrick Building 311E P.O. Box 248065 Coral Gables, FL 33124-2040 Tel: 305.284.9803 Fax: 305.284.3003 E-mail: nmyers(a)miami.edu http://www.education.miami.edu/facultyStaff/Faculty_Bio.asp?ID=143 ----------------------------------------------------------------------------------------------------------- - Amelia mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia