Answering Without Reading: IMCs and Strong Satisficing in Online Surveys

By E. Anduiza, Carol Galais. 2016

93 citations recorded by the source corpus.

Subfields: Communication, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d5ee53eec995c3ddccfbd3c8a89afee60830089d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Albert Gatt
2. Emiel Krahmer

In Sociology and Political Science

1. Albert Gatt
2. Emiel Krahmer

In Statistics and Probability

1. Albert Gatt
2. Sander Wubben
3. Emiel Krahmer
4. Emiel van Miltenburg
5. Chris van der Lee

Citations in the corpus

• Best practices for the human evaluation of automatically generated text (2019, result): “ing out that after such elimination procedures, the remaining cases may be a biased subsample of the total sample, thus biasing the results (Anduiza and Galais, 2016; Bennett, 2001; Berinsky et al., 2016).”