Symposium on Nonresponse, Questionnaire Split and Multiple Imputation
Reports from Academic and Practice
Organized by the University of Erlangen-Nuremberg in cooperation with ZUMA
Mannheim and the Institute of Employment Research at Nuremberg. Sponsored
by GfK AG Nuremberg.
Thursday, September 5th, 2002 at Nuremberg, Germany, Andrej-Sacharow-Platz 1
The organizing committee is delighted to be able to present a selection of
the top researchers from universities and leading research institutes on
this topic. If you like to learn more about respondent burden, the threat
of missing data, and approaches of help by multiple matrix sampling and
multiple imputation, here is the symposium you should not miss!
Program of Thursday, September 5th, 2002
08:15 Registration
09:00 Welcome by the University
Part I Nonresponse and Survey Data Quality
Chair: Uwe Blien (Institute for Employment Research,
Nuremberg)
09:15 Robert Nicklas (GfK Television Research)
Questionnaire Length and Respondent Burden in Media Practice
09:35 Peter Ph. Mohler (ZUMA Mannheim)
Interviewers, Nonresponse and Data Quality
10:10 Ulrich Rendtel (University of
Frankfurt)
Panel Attrition in Household Surveys
Part II Questionnaire Split to Reduce Respondent Burden
Chair: Raimund Wildner (GfK e.V. Nuremberg)
11:15 Andrea Scharrenbroch (GfK Research, Development and
Consulting)
Controlled Split Survey in Media Practice
11:35 Trivellore E. Raghunathan (University of
Michigan)
Multiple Matrix Sampling
12:10 Susanne R?ssler (University of Erlangen-Nuremberg)
Split Questionnaire Survey Sampling
Part III Imputation in Large-Scale Surveys
Chair: Siegfried Gabler (ZUMA
Mannheim)
14:00 Wolfgang Bals (IT-Consultant)
Single Imputation in Large-Scale Media Surveys
14:20 Joseph L. Schafer (Pennsylvania State
University)
?Thou shalt not impute only once?
14:55 Stef van Buuren (TNO Prevention and Health, Leiden)
Practical Issues in Multiple Imputation for Surveys
Part IV Summary and Discussion
Chair: Ingo Klein (University of Erlangen-Nuremberg)
16:00 Donald B. Rubin (Harvard
University)
Concluding remarks
16:45 General Discussion
17:30 Reception and Poster Presentation
Registration and Costs
Lunch and coffee on breaks included. Please register before August 15th
with this registration form. See also
www.gesis.org/Veranstaltungen/ZUMA/Konferenzen
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Please use our registration form and return it to us via fax or regular
mail. Forms of payment not listed above are not accepted. The maximum
number of participants is restricted to 150. Registrations are processed on
a first-come-first-served basis. After receipt of registration we will send
you a confirmation and a route description. For hotel information please
see www.hotel.nuernberg.de. Any questions concerning the organization may
be directed to [email protected], for questions concerning the
program please contact [email protected].
Fax this registration form to (+49) 0621-1246-100 or send it to
ZUMA-Workshop-Organization
Postfach 12 21 55
68072 Mannheim
Germany
Organizing committee:
Susanne R?ssler (University of Erlangen-Nuremberg)
Uwe Blien (Institute for Employment Research, Nuremberg)
Siegfried Gabler (ZUMA Mannheim)
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From rejushi <@t> ucl.ac.uk Mon Aug 19 06:58:01 2002
From: rejushi <@t> ucl.ac.uk (shashi hirani)
Date: Sun Jun 26 08:24:59 2005
Subject: IMPUTE: combining results from repeated measures anova
Message-ID: <[email protected]>
hi
i would be grateful if someone could advise me on how to combine results
from a repeated measures analysis. i have five imputed datasets, run the
usual complete case statistics thru spss and try to combine through the
norm program.
with between subjects the output from the glm procedure, i can get
parameter estimates (in addititon to the f-test results) from spss, thus
can get a combined result from norm. however, for the within subjects and
interaction analyses while i can produce the f-test results for the five
imputations, no parameter estimates are available for me to put through the
norm program.
i'm not sure whether there is a way to combine the f-statistic and sig
values, or another way to produce parameter estimates from spss (possibly
through syntax).
the other statistics that are produced from spss, that (i think) are
amenable to combining are the differences in estimated mariginal means.
These are produced within the pairwise comparisions section of output,
which has mean differences and standard errors for the means. this would
allow me to discern the significant specific differences between various
times of the repeated measures and across groups.
unfortunately, i am not sure if this is a correct process (i.e. the right
way to do things). it does not provide me with a combined f- statistic for
the within subjects or interaction terms, nor does it acount for the
multiple comparisions through post hoc tests.
i'm stuck at what to do and as to whether combining only the post hoc
results would be appropriate. i would be grateful for any help available.
thanks in advance
shash
Shashivadan Hirani
University College London Medical School
Department of Psychiatry and Behavioural Science
2nd Floor, Wolfson Building
48 Riding House Street
London W1N 8AA
Tel: 020 7679 9309
Mobile: 07736 129648
