Replication data for: The Manifesto Project data extended to include the logit scales and standard errors
| Item Type: | Dataset |
|---|---|
| Title: | Replication data for: The Manifesto Project data extended to include the logit scales and standard errors |
| Date: | 7 November 2011 |
| Creator: |
Lowe, Will  ORCID: 0000-0002-1549-6163 ; Benoit, Kenneth ; Mikhaylov, Slava ; Laver, Michael
|
| Divisions: | Außerfakultäre Einrichtungen > MZES |
| DDC Classification: |
320 Political science |
|---|---|
| Abstract: | Automated and statistical methods for estimating latent political traits and classes from textual data hold great promise, since virtually every political act involves the production of text. Statistical models of natural language features, however, are heavily laden with unrealistic assumptions about the process that generates this data, including the stochastic process of text generation, the functional link between political variables and observed text, and the nature of the variables (and dimensions) on which observed text should be conditioned. While acknowledging statistical models of latent traits to be âwrongâ, political scientists nonetheless treat the treat their results as sufficiently valid to be useful. In this paper, we address the issue of substantive validity in the face of potential model failure, in the context of unsupervised scaling methods of latent traits. We critically examine one popular parametric measurement model of latent traits for text and then compare its results to systematic human judgments of the texts as a benchmark for validity. (English) |
| External Identifier for Data: | https://doi.org/10.7910/DVN/7QNE9O |
| URL: | https://madata.bib.uni-mannheim.de/698/ |
|---|---|
| Access (Controlled): | Only Metadata |
| License (Controlled): | Creative Commons: CC0 | Universal 1.0 (recommended) |
| Related Publication(s) in MADOC: | Lowe, Will und Benoit, Kenneth und Mikhaylov, Slava und Laver, Michael (2011), Scaling policy preferences from coded political texts |
Full text not available from this repository.
| Date Deposited: | 10 Apr 2026 11:42 |
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| Last Modified: | 10 Apr 2026 11:42 |
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