I am posting the following message for Richard Patz. The deadline for abstracts has been extended to March 15. Let me add that the multilevel/latent variable workshop mentioned in the announcement focusses on discrete response data-- this should be interesting.
Best, Werner Psychometric Society Meets in California. The International Meeting of the Psychometric Society, IMPS-2004, will be held at the historic Asilomar Conference Grounds in Pacific Grove (Monterey) California, June 14-17, 2004. The program covers a range of theoretical and applied topics covering the latest developments in educational and psychological measurement, quantitative psychology, statistics, mathematics, and political and economic sciences. Intensive, full-day training courses are available on multilevel and latent variable models, and test equating. Keynote lectures by internationally reknown scholars explore foundations of modern psychometrics and important connections with developments in related fields. For more information, and to register for the conference, visit the Psychometric Society online at <http://www.psychometricsociety.org>. If you have questions about the conference or how you may participate, please contact Richard Patz ([email protected]). Persons wishing to present talks or to organize symposia should send titles and abstracts of no more than 200 words. Submissions will be accepted should be e-mailed to [email protected], and should include the following information: ? E-mail address for contact person ? Name, institutional affiliation, mailing address, and e-mail address for each author ? Name of the presenter of the submission ? Type of submission (Paper, Symposium, Workshop) ? Title of submission ? Topic area of submission: o (AAP) Applications o (BSI) Bayesian Statistical Inference o (CDA) Categorical Data Analysis o (CTT) Classical Test Theory o (CCC) Classification/Clustering/Correspondence Analysis o (EDA) Exploratory Data Analysis o (FAC) Factor Analysis o (GRM) Graphical Models o (IRT) Item Response Theory o (GLM) Generalized Linear Models o (LDA) Longitudinal Data Analysis o (MDS) Multidimensional Scaling o (MVA) Multivariate Analysis o (ODS) Optimal/Dual Scaling o (SEM) Structural Equation Modeling o (VCA) Variance Components Analysis o (OTR) Others (please specify) Attached to the e-mail should be EITHER: ? 1 copy of the abstract in Word format OR ? 1 copy of the abstract in a text format (.rtf, .txt) AND ? 1 copy of the abstract in a graphic format (.pdf, .ps, .jpg, .gif, etc) References should not be included with abstracts. Persons organizing symposia are requested to start as soon as possible and to keep the Program Chair informed about the progress. For papers with multiple authors, please indicate who will present the talk. Each person is permitted to present at most one contributed paper. This restriction does not prevent an invited speaker or a symposium speaker from also presenting one contributed paper, nor does it limit the number of papers on which one can be listed as a co-author. The time for a contributed paper is 15 minutes for presentation and 5 minutes for discussion. The deadline for abstract submission is March 15, 2004. You will be notified by March 31st whether your presentation is accepted. For more information, and to register for the conference, visit the Psychometric Society online at <http://www.psychometricsociety.org>. If you have questions about the conference or how you may participate, please contact Richard Patz ([email protected]). -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.utsouthwestern.edu/pipermail/impute/attachments/20040302/f7c1593c/attachment.htm From susanne.raessler <@t> wiso.uni-erlangen.de Wed Mar 10 11:47:11 2004 From: susanne.raessler <@t> wiso.uni-erlangen.de (Susanne Raessler) Date: Sun Jun 26 08:25:01 2005 Subject: [Impute] Combining data from different sources - final call for papers Message-ID: <4.2.0.58.20040310184555.0255c...@amelia> Sorry for cross-posting! This is a final CALL FOR PAPERS During the sixth international conference on social science methodology, Amsterdam 17-20 August 2004, a session is devoted to "Combining Data from Diffferent Sources": The main focus of this session is the integration of registers or, more general, large databases, which contain partial information on a larger amount of the population, and sample surveys, which contain detailed information on a carefully selected sample of the population. The combination should allow an optimal use of the individual data and minimize respondents burden as well as survey costs. A new and rapidly adaptable basis for extracting statistical information shall be created. Methods and tools for a reliable combination of data from different sources are the topic of this session. The methods discussed may either concern record linkage or statistical matching procedures. Those who want to present a paper on this topic are kindly invited to sent an abstract to Susanne R?ssler (e-mail: [email protected]) with a cc to the conference organization (e-mail: [email protected] ) before March 15, 2004 A detailed format for abstracts can be downloaded from: www.siswo.uva.nl/rc33 Session organizer: Susanne R?ssler Department of Statistics and Econometrics University of Erlangen-Nuremberg Lange Gasse 20 D-90403 Nuremberg Germany +49 911 5302 276 (phone) +49 911 5302 277 (fax) [email protected] THE DEADLINE FOR SUBMITTING FULL PAPERS (in pdf format) is June 15, 2004. Accepted papers of registrated participants will be published on a CD-ROM, available on the conference. Note that the total number of papers a contributor is allowed to PRESENT is two. The conference language is English. FEES AND REGISTRATION: 1. Fees: Euro 150.- for RC33 members (Euro 180.- for non-members); students and members from countries in monetary transition will have a reduced fee of 100 Euro. 2. Those registering after May 15, 2004 pay 30 Euros more. 3. For registration, see: www.siswo.uva.nl/rc33 -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.utsouthwestern.edu/pipermail/impute/attachments/20040310/bcbb7f31/attachment.htm From JCCole <@t> mednet.ucla.edu Mon Mar 15 12:22:14 2004 From: JCCole <@t> mednet.ucla.edu (Cole, Jason Ph.D.) Date: Sun Jun 26 08:25:01 2005 Subject: [Impute] Nonnormality Message-ID: <5954e897b261f7478d4bd625b13b60ba0107f...@medmail11> Hell all, I'm curious about the level of effect nonnormal distributions have on imputation's efficacy. Specifically, I understand that the EM algorithm works on the assumption of normally distributed data. However, if one imputes before transformation of skewed data, are the estimates markedly distorted? Thanks for any input, Jason ************************************************************** Jason C. Cole, PhD Statistician Department of Psychiatry and Biobehavioral Sciences Cousins Center for Psychoneuroimmunology 300 UCLA Medical Plaza, Room 3148 Los Angeles, CA 90095-7057 Tel: 310 267 4390 FAX: 310 794 9247 E-mail: <mailto:[email protected]> [email protected] <http://www.cousinspni.org/> http://www.cousinspni.org ************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.utsouthwestern.edu/pipermail/impute/attachments/20040315/6364e5aa/attachment.htm From JUDKIND1 <@t> westat.com Mon Mar 15 13:35:38 2004 From: JUDKIND1 <@t> westat.com (David Judkins) Date: Sun Jun 26 08:25:01 2005 Subject: [Impute] Nonnormality Message-ID: <[email protected]> A lack of normality is a good reason to explore semi-parametric imputation procedures. Please see Section 2 of Chapter 22 (by myself, David Marker and Marianne Winglee) in Survey Nonresponse, Eds. R. M. Groves, D. A. Dillman, E. L. Eltinge, and R. J. A. Little. New York: Wiley. David Judkins Senior Statistician Westat 1650 Research Boulevard Rockville, MD 20854 (301) 315-5970 [email protected] -----Original Message----- From: Cole, Jason Ph.D. [mailto:[email protected]] Sent: Monday, March 15, 2004 1:22 PM To: 'Imputation Listserve ([email protected])' Subject: [Impute] Nonnormality Hell all, I'm curious about the level of effect nonnormal distributions have on imputation's efficacy. Specifically, I understand that the EM algorithm works on the assumption of normally distributed data. However, if one imputes before transformation of skewed data, are the estimates markedly distorted? Thanks for any input, Jason ************************************************************** Jason C. Cole, PhD Statistician Department of Psychiatry and Biobehavioral Sciences Cousins Center for Psychoneuroimmunology 300 UCLA Medical Plaza, Room 3148 Los Angeles, CA 90095-7057 Tel: 310 267 4390 FAX: 310 794 9247 E-mail: <mailto:[email protected]> [email protected] <http://www.cousinspni.org/> http://www.cousinspni.org ************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.utsouthwestern.edu/pipermail/impute/attachments/20040315/721e625a/attachment.htm From malone <@t> alumni.duke.edu Tue Mar 16 12:20:50 2004 From: malone <@t> alumni.duke.edu (Patrick S. Malone) Date: Sun Jun 26 08:25:01 2005 Subject: Archives? Re: [Impute] The parallel message--Old list will disappear In-Reply-To: <[email protected]> References: <[email protected]> Message-ID: <[email protected]> On Tue, 02 Mar 2004 11:19:12 -0600, TRobert Harris <[email protected]> wrote: > Now that this NEW location of the IMPUTE email discussion group > (Imputations in Data Analysis) is set up, the OLD location (at UTDallas) > will be eliminated on about March 9. Please use the NEW list: > Are the old archives available? If so, how? Thanks, Pat Malone -- Patrick S. Malone, Ph.D., Research Scholar Duke University Center for Child and Family Policy Durham, North Carolina, USA e-mail: [email protected] http://www.duke.edu/~malone/
