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William van der Veld (University of Amsterdam) Willem Saris (ESADE Business School)

A UNIFIED MODEL FOR THE SURVEY RESPONSE Unifying Converse, Achen, Zaller and Feldman. William van der Veld (University of Amsterdam) Willem Saris (ESADE Business School) Barcelona, 2005, European Association for Survey Research. Overview. The NES Panel 1956-1958-1960

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William van der Veld (University of Amsterdam) Willem Saris (ESADE Business School)

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  1. A UNIFIED MODEL FOR THE SURVEY RESPONSEUnifying Converse, Achen, Zaller and Feldman William van der Veld (University of Amsterdam) Willem Saris (ESADE Business School) Barcelona, 2005, European Association for Survey Research

  2. Overview • The NES Panel 1956-1958-1960 • Explanations for low response stability • A unified model • Unifying Converse, Achen, Zaller & Feldman • Summary & Conclusion

  3. The NES panel 1956-1958-1960 • Start of a controversy. • Converse (1964):Government Intervention in Housing & Electricity

  4. Explanations for low response stability • Several explanations have been suggested.1964 Converse’s Black and White model1975 Achen’s measurement error model1992 Zaller & Feldman’s response axioms

  5. 1964 Converse’s Black and White model • What could cause a low correlation? • The mass of the public have no stable opinion,a small elite have a stable opinion.No stable opinion=> Random responses => Zero (small) correlations

  6. 1975 Achen’s measurement error model • What could cause a low correlation? • Measurement instruments are unreliable,the responses will contain measurement error.Even if the opinion is stable the responses across time could be different by chance.Stable opinion & unreliable instruments=> Random errors & random responses => Zero (small) correlations

  7. 1992 Zaller & Feldman’s response axioms • What could cause a low correlation? • People have multiple considerations in mind, (that could be conflicting).The context of the survey question triggers different considerations that generate different responses.Unique context=> Unique considerations & unique responses => Zero (small) correlations.

  8. A unified model - Foundations • Semantic network, i.e. associations between nodes. • Words in the question are associated with nodes. • Hearing/Reading triggers activation of associations of nodes (spreading activation). • Deliberate or automatically evaluations are made during the activation period. • The evaluations are combined into an opinion, • The verbalization of the opinion will introduce errors in the response.

  9. A unified model - Animation

  10. A unified model – Conceptual model

  11. A unified model – Structural Equations • [standardized variables] =>St = st,t-1 * St-1 + NtOt = ct * St + UtRtm = qtm * Ot + etm

  12. A unified model – Path model

  13. Unifying Converse, Achen, Zaller & Feldman • Take the correlation between R11 and R23:ρR11,R23 = q11* c1 * s21 * c2 *q23 • Converse (1964)=> No stable opinion => [n=1] s=0 => ρR11,R23 = 0 • Achen (1975)=> Measurement error => [e=1] q=0 => ρR11,R23 = 0 • Zaller + Feldman (1992)=> Unique considerations => [u=1] c=0 => ρR11,R23 = 0

  14. Summary and conclusion • Association of nodesSE Model with special parameters Applying the arguments of C, A, Z &F implies certain values for the parametersThis has the same consequence in our model: low correlations across time • Is it possible to estimate the parameters of this model?

  15. Example • Russet Panel study • Design: Policies for national minorities • Measured in 3 interviews, 1 year interval.Repeated measures in each interview.All (6) methods are different

  16. Example

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