Title: DeutschlandTREND: Die wirtschaftliche Lage
1Exit Polls in Germany
Richard Hilmer Managing Director Infratest
dimap 3MC 2008 Session 28 Exit Poll Berlin,
26th of June 2008
2History of Exit Polls in Germany
- 1978, June First Exit Poll by Infas for the
ARD (September 1978 first Exit Poll by
Forschungsgruppe Wahlen (FGW) for the ZDF)
- 1979 Abandonment because of political debate
- 1990 Restart Exit Polls by Infas and FGW for
all national and state elections
- 1996 Infratest dimap took over responsibility of
Exit Polls for the ARD. Exit Polls realized
since 1997
- 3 for national elections
- 2 for european elections
- 40 for state elections
- 30 for local elections
- _______________________
- 75 Total
3Targets of Exit Polls and how to reach them
- External Factors
- Voting System
- Official Support
- Party-System
- Turnout
- Absentee voting
- Competitive Environment
-
- Internal Factors
- Sampling
- Field work
- Selection process
- Questionnaire
- Modelling
- Main Targets
- measure voting behaviour of electorate and
selected subgroups - identify major motives
- analyse the voter flows
- precise prediction of the results in real time
- sideeffect showcase for capacity and efficiency
of MR
4Targets of Exit Polls and how to reach them
- External Factors
- Voting System
- Official Support
- Party-System
- Turnout
- Absentee voting
- Competitive Environment
-
- Internal Factors
- Sampling
- Questionnaire
- Field work
- Selection process
- Modelling
- Main Targets
- measure voting behaviour of electorate and
selected subgroups - identify major motives
- analyse the voter flows
- precise prediction of the results in real time
- sideeffect showcase for capacity and efficiency
of MR
5Optimizing Exit Polls field work and data
processing
- adequate tools Questionnaire fitting to the
voting system
6Optimizing Exit Polls field work and data
processing
7Optimizing Exit Polls field work and data
processing
8Optimizing Exit Polls field work and data
processing
- adequate tools (fitting to the voting
system) - intensive interviewer training and support
- trouble avoiding/trouble shooting program
(precontacting officials / back up teams for
election day) - maximum of transparancy and anonymity in
surveys
9Optimizing Exit Polls field work and data
processing
ARD-Election-Box
10Optimizing Exit Polls field work and data
processing
- adequate tools (fitting to the voting system)
- intensive interviewer training and support
- trouble avoiding/trouble shooting program
(precontacting officials/ back up teams for
election day) - maximum of transparancy and anonymity in
surveys - data delivery-processing
- absolute reliability
- automatic checking procedures
11Optimizing Accuracy of Prognoses
12Exit Polls New Challenges
- Declining Turn Outs
- Increasing number of absentee voters
- Increasing number of late deciders
- Especially problematic for pre-election surveys
- but also for comparison of precinct and absentee
voting in Exit Polls.
- Voting systems become more and more complicate
- Structural bias in sampling despite of a
response rate of 70 to 80
13Optimizing Exit Polls - Sampling
1. Level Precincts (national election appr.
80.000)
- Random sampling
- Regional stratification
- Representation of past election result
- Differentiated coverage of strongholds weak
spots of major parties
(s)
14Optimizing Exit Polls Selection of Voters
2. Level Selection of Voters
old approach
15Optimizing Exit Polls Selection of Voters
2. Level Selection of Voters
New approach
- full voters survey (per time slice)
- Avoids structural bias
- Increase number of interviews (BTW 100.000
instead of 20.000) - Delivers more precise results and structures
- Better representation of precinct results
- Minimizes need for weighting/modelling
16Optimizing Accuracy of Prognoses
17Optimizing Accuracy of Prognoses
State Election in Hamburg 2008
18Thank you!